Tootfinder

💬 All talks and workshops from #hacklu2025 have their own Discourse topic — making it easy to comment, share feedback, and follow updates per session.
👉 https://discourse.ossbase.org/c/hack-lu/…

hack.lu
Hack.lu (and CTI summit) is an open convention/conference where people can discuss about computer security, privacy, information technology and its cultural/technical implication on society. It’s the 19th edition (21st → 24th October) of hack.lu in Luxembourg.

Skyworks buys rival Qorvo for ~$9.76B in a cash-and-stock deal, forming a $22B combined company that supplies radio-frequency chips to Apple and others (Reuters)
https://www.reuters.com/technology/apple-supplier-…

A Modular KDN-Based Framework for IT/OT Autonomy in Industrial Systems
Tu\u{g}\c{c}e Bilen, Mehmet Ozdem
https://arxiv.org/abs/2509.23389 https://arxiv.org…

A Modular KDN-Based Framework for IT/OT Autonomy in Industrial Systems
The convergence of Information Technology (IT) and Operational Technology (OT) is a critical enabler for achieving autonomous and intelligent industrial systems. However, the increasing complexity, heterogeneity, and real-time demands of industrial environments render traditional rule-based or static management approaches insufficient. In this paper, we present a modular framework based on the Knowledge-Defined Networking (KDN) paradigm, enabling adaptive and autonomous control across IT-OT inf…

Efficient and Privacy-Protecting Background Removal for 2D Video Streaming using iPhone 15 Pro Max LiDAR
Jessica Kinnevan, Naifa Alqahtani, Toral Chauhan
https://arxiv.org/abs/2508.20250

Efficient and Privacy-Protecting Background Removal for 2D Video Streaming using iPhone 15 Pro Max LiDAR
Light Detection and Ranging (LiDAR) technology in consumer-grade mobile devices can be used as a replacement for traditional background removal and compositing techniques. Unlike approaches such as chroma keying and trained AI models, LiDAR's depth information is independent of subject lighting, and performs equally well in low-light and well-lit environments. We integrate the LiDAR and color cameras on the iPhone 15 Pro Max with GPU-based image processing. We use Apple's SwiftUI and Swift fram…

A Near-Cache Architectural Framework for Cryptographic Computing
Jingyao Zhang, Elaheh Sadredini
https://arxiv.org/abs/2509.23179 https://arxiv.org/pdf/250…

A Near-Cache Architectural Framework for Cryptographic Computing
Recent advancements in post-quantum cryptographic algorithms have led to their standardization by the National Institute of Standards and Technology (NIST) to safeguard information security in the post-quantum era. These algorithms, however, employ public keys and signatures that are 3 to 9$\times$ longer than those used in pre-quantum cryptography, resulting in significant performance and energy efficiency overheads. A critical bottleneck identified in our analysis is the cache bandwidth. This…

Haptic Tracing: A new paradigm for spatialized Haptic rendering
Tom Roy, Yann Glemarec, Gurvan Lecuyer, Quentin Galvane, Philippe Guillotel, Ferran Argelaguet
https://arxiv.org/abs/2508.19703

Haptic Tracing: A new paradigm for spatialized Haptic rendering
Haptic technology enhances interactive experiences by providing force and tactile feedback, improving user performance and immersion. However, despite advancements, creating tactile experiences still remains challenging due to device diversity and complexity. Most available haptic frameworks rely on trigger-based or event-based systems, and disregard the information of the 3D scene to render haptic information. This paper introduces Haptic Tracing, a novel method for spatial haptic rendering th…

Broadband Waveguide-Coupled Photodetectors in a Submicrometer-Wavelength Silicon Photonics Platform
Alperen Govdeli, Jared C. Mikkelsen, Engjell Bebeti, Hongyao Chua, Guo-Qiang Lo, Joyce K. S. Poon, Wesley D. Sacher
https://arxiv.org/abs/2509.23353

Broadband Waveguide-Coupled Photodetectors in a Submicrometer-Wavelength Silicon Photonics Platform
Advances in silicon (Si) photonics at submicrometer wavelengths are unlocking new opportunities to realize miniaturized, scalable optical systems for biophotonics, quantum information, imaging, spectroscopy, and displays. Addressing this array of applications with a single integrated photonics technology requires the development of high-performance active components compatible with both visible and near-infrared light. Here, we report waveguide-coupled photodetectors monolithically integrated i…

AI Product Value Assessment Model: An Interdisciplinary Integration Based on Information Theory, Economics, and Psychology
Yu yang
https://arxiv.org/abs/2508.16714 https://

AI Product Value Assessment Model: An Interdisciplinary Integration Based on Information Theory, Economics, and Psychology
In recent years, breakthroughs in artificial intelligence (AI) technology have triggered global industrial transformations, with applications permeating various fields such as finance, healthcare, education, and manufacturing. However, this rapid iteration is accompanied by irrational development, where enterprises blindly invest due to technology hype, often overlooking systematic value assessments. This paper develops a multi-dimensional evaluation model that integrates information theory's e…

In-situ X-ray imaging of reduction-nitridation in ferric oxide under high Pressure
Yu Tao, Depu Liu, Chunyin Zhou, Xv Jia, Jingyi Liu, Xue Chang, Yangbin Wang, Li Lei
https://arxiv.org/abs/2509.24289

In-situ X-ray imaging of reduction-nitridation in ferric oxide under high Pressure
The investigation of high-pressure chemical reaction dynamics has long been constrained by the absence of effective in-situ characterization methods. Here we performed the state-of-the-art synchrotron radiation in-situ X-ray imaging based on large-volume press (LVP) technology to uncover the crucial information on the dynamics of the underlying phenomena of the formation of iron-based spherical product in the high-pressure solid-state metathesis reaction (HSM). We successfully give access to th…

Sources: Pinecone, which provides an AI-compatible vector database, is exploring a sale after receiving takeover interest; Pinecone was valued at $750M in 2023 (The Information)
https://www.theinformation.com/articles/top-funded-ai-database-star…

Top-Funded AI Database Startup Pinecone Considers a Sale
When the artificial intelligence boom began a few years ago, investors flocked to startups that helped businesses transform and store proprietary data in a format AI could understand, known as a vector database. The technology allowed businesses to use a customized AI chatbot to search or ...

I've been trying to find a name or descriptor for people who I think are looking at "AI" broadly and soberly, with a genuinely objective perspective and information that's not captured by the big tech companies but also fluent in the technology behind it. ( @… would be the exemplar here.) What would you call this cohort? Because I think it…

KI-gestützte #Chatbots können bei vulnerablen Nutzern zu gefährlichen Realitätsverlusten führen.
Fälle zeigen, wie betroffene Personen durch bestätigende Antworten in #Wahnvorstellungen abdriften – etwa, bahnbrechende Theorien entdeckt zu haben. Das Zusammenspiel aus

With AI chatbots, Big Tech is moving fast and breaking people
Why AI chatbots validate grandiose fantasies about revolutionary discoveries that don’t exist.

AI use of water and energy is an issue. And the industry's bloviating smokescreens don't help us understand the issue.
All of the ways companies cause GHG gas emissions - from direct emissions on site to emissions from power generation off-site to emissions in their supply chain & from product usage are addressed in the #GreenhouseGasReportingProtocol .

AI use of water and energy is an issue. And the industry's bloviating smokescreens don't help us understand the issue.
All of the ways companies cause GHG gas emissions - from direct emissions on site to emissions from power generation off-site to emissions in their supply chain & from product usage are addressed in the #GreenhouseGasReportingProtocol .

LAURON VI: A Six-Legged Robot for Dynamic Walking
Christian Eichmann (FZI Research Center for Information Technology), Sabine Bellmann (FZI Research Center for Information Technology), Nicolas H\"ugel (FZI Research Center for Information Technology), Louis-Elias Enslin (FZI Research Center for Information Technology), Carsten Plasberg (FZI Research Center for Information Technology), Georg Heppner (FZI Research Center for Information Technology), Arne Roennau (FZI Research Center …

LAURON VI: A Six-Legged Robot for Dynamic Walking
Legged locomotion enables robotic systems to traverse extremely challenging terrains. In many real-world scenarios, the terrain is not that difficult and these mixed terrain types introduce the need for flexible use of different walking strategies to achieve mission goals in a fast, reliable, and energy-efficient way. Six-legged robots have a high degree of flexibility and inherent stability that aids them in traversing even some of the most difficult terrains, such as collapsed buildings. Howe…

Russia copying Kyiv's drone technology as 'direct technological race' accelerates, Ukraine army chief says: https://benborges.xyz/2025/09/11/russia-copying-kyivs-drone-technology.html

Reddit files a lawsuit against Perplexity, SerpApi, and two other data scraping companies, accusing them of unlawfully scraping Google for Reddit data (Mike Isaac/New York Times)
https://www.nytimes.com/2025/10/22/technology/reddit-data-scrapers-perpl…

Reddit Accuses ‘Data Scraper’ Companies of Theft
In a lawsuit, Reddit pulled back the curtain on an ecosystem of start-ups that scrape Google’s search results and resell the information to data-hungry A.I. companies.

DiTTO-LLM: Framework for Discovering Topic-based Technology Opportunities via Large Language Model
Wonyoung Kim, Sujeong Seo, Juhyun Lee
https://arxiv.org/abs/2509.09724 https:/…

DiTTO-LLM: Framework for Discovering Topic-based Technology Opportunities via Large Language Model
Technology opportunities are critical information that serve as a foundation for advancements in technology, industry, and innovation. This paper proposes a framework based on the temporal relationships between technologies to identify emerging technology opportunities. The proposed framework begins by extracting text from a patent dataset, followed by mapping text-based topics to discover inter-technology relationships. Technology opportunities are then identified by tracking changes in these …

FYI: @…
https://bsky.app/profile/carlbergstrom.com/post/3m3vnlqah522u

Identifying Information Technology Research Trends through Text Mining of NSF Awards
Said Varlioglu, Hazem Said, Murat Ozer, Nelly Elsayed
https://arxiv.org/abs/2509.12245 https…

Identifying Information Technology Research Trends through Text Mining of NSF Awards
Information Technology (IT) is recognized as an independent and unique research field. However, there has been ambiguity and difficulty in identifying and differentiating IT research from other close variations. Given this context, this paper aimed to explore the roots of the Information Technology (IT) research domain by conducting a large-scale text mining analysis of 50,780 abstracts from awarded NSF CISE grants from 1985 to 2024. We categorized the awards based on their program content, lab…

Kmart’s use of facial recognition to tackle refund fraud unlawful, Australia's Privacy Commissioner finds
https://www.oaic.gov.au/news/media-centre/18-kmarts-use-of-facial-recognition-to-tackle-refun…

Kmart’s use of facial recognition to tackle refund fraud unlawful, Privacy Commissioner finds
The Privacy Commissioner has found that Kmart breached Australians’ privacy by collecting their personal and sensitive information through a facial recognition technology system.

Two former Harvard students are launching a pair of
“always-on” AI-powered smart glasses
that listen to, record, and transcribe every conversation and then display relevant information to the wearer in real time. 
“Our goal is to make glasses that make you super intelligent the moment you put them on,”
said AnhPhu Nguyen, co-founder of Halo, a startup that’s developing the technology. 
Or, as his co-founder Caine Ardayfio put it, the glasses “give you infinite m…

Harvard dropouts to launch 'always on' AI smart glasses that listen and record every conversation | TechCrunch
After developing a facial-recognition app for Meta’s Ray-Ban glasses and doxing random people, two former Harvard students are now launching a startup that makes smart glasses with an always-on microphone.

Towards a general diffusion-based information quality assessment model
Anthony Lopes Temporao, Mickael Temporao, Corentin Vande Kerckhove, Flavio Abreu Araujo
https://arxiv.org/abs/2508.13927

Towards a general diffusion-based information quality assessment model
The rapid and unregulated dissemination of information in the digital era has amplified the global "infodemic," complicating the identification of high quality information. We present a lightweight, interpretable and non-invasive framework for assessing information quality based solely on diffusion dynamics, demonstrated here in the context of academic publications. Using a heterogeneous dataset of 29,264 sciences, technology, engineering, mathematics (STEM) and social science papers from Arnet…

For most of my 30 year career in Information Technology in the USA, I've been concerned about H1B visa workers replacing me, or at least pushing wages down. So, you might think I'd be in favor of POTUS47's H1B visa changes.
Too few characters here to get into the full story, but the short answer is, no. Making it harder to hire H1B visas will long-term push more jobs overseas where they will be completely unattainable by myself.

#edu

An Unsupervised Learning Approach For A Reliable Profiling Of Cyber Threat Actors Reported Globally Based On Complete Contextual Information Of Cyber Attacks
Sawera Shahid, Umara Noor, Zahid Rashid
https://arxiv.org/abs/2509.11683

An Unsupervised Learning Approach For A Reliable Profiling Of Cyber Threat Actors Reported Globally Based On Complete Contextual Information Of Cyber Attacks
Cyber attacks are rapidly increasing with the advancement of technology and there is no protection for our information. To prevent future cyberattacks it is critical to promptly recognize cyberattacks and establish strong defense mechanisms against them. To respond to cybersecurity threats immediately, it is essential to examine the attackers skills, knowledge, and behaviors with the goal of evaluating their impact on the system and comprehending the traits associated with these attacks. Creati…

Reddit files a lawsuit against Perplexity, SerpApi, and two other data scraping companies, accusing them of unlawfully scraping Google for Reddit data (Mike Isaac/New York Times)
https://www.nytimes.com/2025/10/22/technology/reddit-data-scrapers-perpl…

Reddit Accuses ‘Data Scraper’ Companies of Theft
In a lawsuit, Reddit pulled back the curtain on an ecosystem of start-ups that scrape Google’s search results and resell the information to data-hungry A.I. companies.

Comparing RAG and GraphRAG for Page-Level Retrieval Question Answering on Math Textbook
Eason Chen, Chuangji Li, Shizhuo Li, Conrad Borchers, Zimo Xiao, Chloe Qianhui Zhao, Jionghao Lin, Kenneth R. Koedinger
https://arxiv.org/abs/2509.16780

Comparing RAG and GraphRAG for Page-Level Retrieval Question Answering on Math Textbook
Technology-enhanced learning environments often help students retrieve relevant learning content for questions arising during self-paced study. Large language models (LLMs) have emerged as novel aids for information retrieval during learning. While LLMs are effective for general-purpose question-answering, they typically lack alignment with the domain knowledge of specific course materials such as textbooks and slides. We investigate Retrieval-Augmented Generation (RAG) and GraphRAG, a knowledg…

Ukraine sanctions Russian, Chinese, Belarusian firms supplying drone technology: https://benborges.xyz/2025/08/17/ukraine-sanctions-russian-chinese-belarusian.html

Resilient Signal Reflection under CSI Perturbations: A Robust Approach for Secure RIS Communication
Mahdi Shamsi, Hadi Zayyani, Farokh Marvasti
https://arxiv.org/abs/2509.17181 …

Resilient Signal Reflection under CSI Perturbations: A Robust Approach for Secure RIS Communication
Reconfigurable Intelligent Surfaces (RIS) have emerged as a transformative technology in wireless communication, enabling dynamic control over signal propagation. This paper tackles the challenge of mitigating Channel State Information (CSI) perturbations in RIS-aided systems, particularly for secure communication scenarios. Leveraging a first-order approximation technique, we develop a robust approach that strengthens the resilience of RIS configurations against CSI imperfections. The study co…

The Integration of Agile Methodologies in DevOps Practices within the Information Technology Industry
Ashley Hourigan, Ridewaan Hanslo
https://arxiv.org/abs/2508.21811 https://

The Integration of Agile Methodologies in DevOps Practices within the Information Technology Industry
The demand for rapid software delivery in the Information Technology (IT) industry has significantly intensified, emphasising the need for faster software products and service releases with enhanced features to meet customer expectations. Agile methodologies are replacing traditional approaches such as Waterfall, where flexibility, iterative development and adaptation to change are favoured over rigid planning and execution. DevOps, a subsequent evolution from Agile, emphasises collaborative ef…

AECBench: A Hierarchical Benchmark for Knowledge Evaluation of Large Language Models in the AEC Field
Chen Liang, Zhaoqi Huang, Haofen Wang, Fu Chai, Chunying Yu, Huanhuan Wei, Zhengjie Liu, Yanpeng Li, Hongjun Wang, Ruifeng Luo, Xianzhong Zhao
https://arxiv.org/abs/2509.18776

I really can’t think of AI agents as anything other than malware with articles like these:
#AI #tech #LLM

Utility-based Privacy Preserving Data Mining
Qingfeng Zhou, Wensheng Gan, Zhenlian Qi, Philip S. Yu
https://arxiv.org/abs/2509.15755 https://arxiv.org/pdf/…

Utility-based Privacy Preserving Data Mining
With the advent of big data, periodic pattern mining has demonstrated significant value in real-world applications, including smart home systems, healthcare systems, and the medical field. However, advances in network technology have enabled malicious actors to extract sensitive information from publicly available datasets, posing significant threats to data providers and, in severe cases, hindering societal development. To mitigate such risks, privacy-preserving utility mining (PPUM) has been …

Quantum router of silicon-vacancy centers via a diamond waveguide
Wen-Jie Zhang, Xi Yan, Jun-Hong An
https://arxiv.org/abs/2509.14793 https://arxiv.org/pdf…

Quantum router of silicon-vacancy centers via a diamond waveguide
As a key component of quantum networks, quantum router distributes quantum information among different quantum nodes. Silicon-vacancy (SiV) center in diamond offers a promising platform for quantum technology due to its strong strain-induced coupling with phonons. However, the development of practical quantum router faces challenges of achieving long-range entanglement and suppressing decoherence. Here, we propose a non-Markovian quantum router based on a diamond waveguide embedded with an arra…

PBPU Elastomer Network Architecture Determination via Corresponding States Analysis of Mechanical Behavior
Sushanta Das (Department of Chemical Engineering, Indian Institute of Technology Bombay, Mumbai, Maharashtra, India Defence Research,Development Organization, New Delhi, India), Hari Ramakrishna Sudhakar (Department of Chemical Engineering, Indian Institute of Technology Bombay, Mumbai, Maharashtra, India), Hemant Nanavati (Department of Chemical Engineering, Indian Institute of T…

PBPU Elastomer Network Architecture Determination via Corresponding States Analysis of Mechanical Behavior
In this work we examine the effect of R=[NCO]/[OH] in the R=<1 regime, on the resultant structural topology of polybutadiene polyurethane (PBPU) elastomer networks based on hydroxy-terminated polybutadiene (HTPB). We employ stress-elongation behavior and its modeling, as a tool. We examine this property via a combination of our model for the finite chain phantom networks incorporating the HTPB structural information, with the slip-tube model from the literature, suitably modified phenomenologic…

Strategies educators can use to counter misinformation related to the quantum information revolution
Jaya Shivangani Kashyap, Chandralekha Singh
https://arxiv.org/abs/2509.12489

Strategies educators can use to counter misinformation related to the quantum information revolution
Remarkable advances in quantum information science and technology (QIST) have taken place in recent years. However, they have also been accompanied by widespread misinformation. This paper provides suggestions for how educators can help students at all levels and especially early learners including those at the pre-college and college levels learn key QIST concepts so that they are less likely to be misinformed, e.g., by online unvetted resources. We discuss findings from interviews with five c…

Replicating the flyby sampling of salty ocean world ice grains using impact ionization mass spectrometry
K. Marshall Seaton (Jet Propulsion Laboratory, California Institute of Technology), Bryana L. Henderson (Jet Propulsion Laboratory, California Institute of Technology), Sascha Kempf (Laboratory for Atmospheric and Space Physics, University of Colorado, Boulder), Sarah E. Waller (Jet Propulsion Laboratory, California Institute of Technology), Morgan E. C. Miller (Jet Propulsion Labor…

Replicating the flyby sampling of salty ocean world ice grains using impact ionization mass spectrometry
The Europa Clipper mission will arrive at the Jovian system in 2030 and analyze ice grains sourced from the icy material on its surface using impact mass spectrometry, which will provide key constraints on Europa's chemical composition and habitability. However, deriving quantitative compositional information from spaceborne impact mass spectra of ice grains has historically proven difficult due to the confounding effects of composition and impact velocity, coupled with difficulties in accelera…

Reversible Video Steganography Using Quick Response Codes and Modified ElGamal Cryptosystem
Ramadhan J. Mstafa
https://arxiv.org/abs/2508.07289 https://arx…

Reversible Video Steganography Using Quick Response Codes and Modified ElGamal Cryptosystem
The rapid transmission of multimedia information has been achieved mainly by recent advancements in the Internet's speed and information technology. In spite of this, advancements in technology have resulted in breaches of privacy and data security. When it comes to protecting private information in today's Internet era, digital steganography is vital. Many academics are interested in digital video because it has a great capability for concealing important data. There have been a vast number of…

> All of this is also happening since Google removed support for the ClaimReview standard— a data format that was designed to ensure that this kind of confusion did not happen.
https://fullfact.org/technology/google-search-is-vandalising-the-internet-h…

Google Search is vandalising the internet. Here’s how. – Full Fact
Google Search is misrepresenting our fact checks, showing incorrect information to millions.

Space-time Coded Differential Modulation for Reconfigurable Intelligent Surfaces
Jiawei Qiu, Harry Leib
https://arxiv.org/abs/2508.10244 https://arxiv.org/…

Space-time Coded Differential Modulation for Reconfigurable Intelligent Surfaces
Reconfigurable Intelligent Surfaces (RIS) hold the promise of improving significantly coverage, as well as spectral and energy efficiency in wireless communication systems. Techniques based on RIS form a key technology for 6G systems. An important issue in RIS technology is Channel State Information (CSI), which is much more difficult to acquire in such systems. This work introduces a Differential Space-Time Modulation (DSTM) scheme integrated with Differential Reflecting Modulation (DRM) to by…

Time-resolved measurement of Seebeck effect for superionic metals during structural phase transition
Shilin Li (Beijing Academy of Quantum Information Sciences), Hailiang Xia (Beijing Huihaoyu Intelligent Technology Co., Ltd), Takuma Ogasawara (Beijing Academy of Quantum Information Sciences), Liguo Zhang (Beijing Academy of Quantum Information Sciences), Katsumi Tanigaki (Beijing Academy of Quantum Information Sciences)

Time-resolved measurement of Seebeck effect for superionic metals during structural phase transition
We propose a new time (t)-resolved method of both vertical- and horizontal-temperature gradients in an orthogonal configuration (t-resolved T(t)-HVOT) to have real interpretations of the enhancement in thermoelectric Seebeck effect (SE) observed during the structural phase transition. We apply our new method to superionic-state semiconductors of p-type Cu2Se and n-type Ag2S. The experimental data differentiate the two types of enhancements during the phase transition: a colossal SE (Scolossal),…

DeltaHedge: A Multi-Agent Framework for Portfolio Options Optimization
Feliks Ba\'nka (Warsaw University of Technology, Faculty of Electronics,Information Technology), Jaros{\l}aw A. Chudziak (Warsaw University of Technology)
https://arxiv.org/abs/2509.12753

DeltaHedge: A Multi-Agent Framework for Portfolio Options Optimization
In volatile financial markets, balancing risk and return remains a significant challenge. Traditional approaches often focus solely on equity allocation, overlooking the strategic advantages of options trading for dynamic risk hedging. This work presents DeltaHedge, a multi-agent framework that integrates options trading with AI-driven portfolio management. By combining advanced reinforcement learning techniques with an ensembled options-based hedging strategy, DeltaHedge enhances risk-adjusted…

Orthrus: Dual-Loop Automated Framework for System-Technology Co-Optimization
Yi Ren, Baokang Peng, Chenhao Xue, Kairong Guo, Yukun Wang, Guoyao Cheng, Yibo Lin, Lining Zhang, Guangyu Sun
https://arxiv.org/abs/2509.13029

Orthrus: Dual-Loop Automated Framework for System-Technology Co-Optimization
With the diminishing return from Moore's Law, system-technology co-optimization (STCO) has emerged as a promising approach to sustain the scaling trends in the VLSI industry. By bridging the gap between system requirements and technology innovations, STCO enables customized optimizations for application-driven system architectures. However, existing research lacks sufficient discussion on efficient STCO methodologies, particularly in addressing the information gap across design hierarchies and …

*sigh*...
(from : https://arstechnica.com/information-technology/2025/08/openai-brings-back-gpt-4o-after-user-revolt/ )

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media
Mayank Kumar Jain, Dinesh Gopalani, Yogesh Kumar Meena, Nishant Jain
https://arxiv.org/abs/2508.16223

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media
With the rapid evolution of technology and the Internet, the proliferation of fake news on social media has become a critical issue, leading to widespread misinformation that can cause societal harm. Traditional fact checking methods are often too slow to prevent the dissemination of false information. Therefore, the need for rapid, automated detection of fake news is paramount. We introduce DaCFake, a novel fake news detection model using a divide and conquer strategy that combines content and…

Source: Snap is considering raising outside money to fund Spectacles development or spinning off Spectacles, to compete with deeper-pocketed rivals like Meta (The Information)
https://www.theinformation.com/articles/struggling-snap-considers-outsi…

Struggling Snap Considers Outside Funding for AR Glasses
For nearly as long as Evan Spiegel has run Snap Inc., his big bet has been on Spectacles, the company’s augmented reality glasses. All together, he has poured $3 billion into the effort—a fraction of what Mark Zuckerberg at Meta Platforms has invested in wearable technology, but a major expense ...

Real-world Music Plagiarism Detection With Music Segment Transcription System
Seonghyeon Go
https://arxiv.org/abs/2509.08282 https://arxiv.org/pdf/2509.082…

Real-world Music Plagiarism Detection With Music Segment Transcription System
As a result of continuous advances in Music Information Retrieval (MIR) technology, generating and distributing music has become more diverse and accessible. In this context, interest in music intellectual property protection is increasing to safeguard individual music copyrights. In this work, we propose a system for detecting music plagiarism by combining various MIR technologies. We developed a music segment transcription system that extracts musically meaningful segments from audio recordin…

US 'behind' Ukraine in drone technology, Trump envoy Kellogg says: https://benborges.xyz/2025/09/14/us-behind-ukraine-in-drone.html

Subjective Evaluation of Low Distortion Coded Light Fields with View Synthesis
Daniela Saraiva, Joao Prazeres, Manuela Pereira, Antonio M. G. Pinheiro
https://arxiv.org/abs/2509.14761

Subjective Evaluation of Low Distortion Coded Light Fields with View Synthesis
Light field technology is a powerful imaging method that captures both the intensity and direction of light rays in a scene, enabling the reconstruction of 3D information and supporting a range of unique applications. However, light fields produce vast amounts of data, making efficient compression essential for their practical use. View synthesis plays a key role in light field technology by enabling the generation of new views, yet its interaction with compression has not been fully explored. …

A Lightweight Privacy-Preserving Smart Metering Billing Protocol with Dynamic Tariff Policy Adjustment
Farid Zaredar, Morteza Amini
https://arxiv.org/abs/2508.14815 https://

A Lightweight Privacy-Preserving Smart Metering Billing Protocol with Dynamic Tariff Policy Adjustment
The integration of information and communication technology (ICT) with traditional power grids has led to the emergence of smart grids. Advanced metering infrastructure (AMI) plays a crucial role in smart grids by facilitating two-way communication between smart meters and the utility provider. This bidirectional communication allows intelligent meters to report fine-grained consumption data at predefined intervals, enabling accurate billing, efficient grid monitoring and management, and rapid …

Every day, some 2 billion people around the world use privacy-protection tools supported by the Open Technology Fund.
When people in China escape their government’s firewalls and censorship software
—now so dense that the system has been called the “locknet”
—or when users in Cuba or Myanmar evade cruder internet blocks,
they can access material written in their own languages and read stories they would otherwise never see.
Both the access and some of the informa…

America Surrenders in the Global Information Wars
The U.S. is reorienting its foreign policy to protect governments that manipulate and suppress information.

From Service-Oriented Computing to Metaverse Services: A Framework for Inclusive and Immersive Learning for Neurodivergent Students
Rachid Hamadi (School of Computer Science and Engineering UNSW Sydney Australia), Abdelmounaam Rezgui (School of Information Technology Illinois State University Normal IL USA), Ali Darejeh (School of Computer Science and Engineering UNSW Sydney Australia)

From Service-Oriented Computing to Metaverse Services: A Framework for Inclusive and Immersive Learning for Neurodivergent Students
The metaverse offers immersive and adaptive learning environments for neurodivergent students to thrive and reach their full potential. In this paper, we propose a generic framework that leverages metaverse services as an evolution beyond traditional service-oriented computing, enabling more interactive, personalized, and engaging educational experiences. By integrating AI-driven adaptability, multimodal interaction, and privacy-first service design, the framework ensures that learning remains …

Crosslisted article(s) found for cs.IR. https://arxiv.org/list/cs.IR/new
[1/1]:
- Identifying Information Technology Research Trends through Text Mining of NSF Awards
Said Varlioglu, Hazem Said, Murat Ozer, Nelly Elsayed

Information and Communication Theoretical Foundations of the Internet of Plants, Principles, Challenges, and Future Directions
Ahmet B. Kilic, Ozgur B. Akan
https://arxiv.org/abs/2509.08434

Information and Communication Theoretical Foundations of the Internet of Plants, Principles, Challenges, and Future Directions
Plants exchange information through multiple modalities, including chemical, electrical, mycorrhizal, and acoustic signaling, which collectively support survival, defense, and adaptation. While these processes are well documented in biology, their systematic analysis from an Information and Communication Technology (ICT) perspective remains limited. To address this gap, this article is presented as a tutorial with survey elements. It provides the necessary biological background, reformulates in…

A Study of Large Language Models for Patient Information Extraction: Model Architecture, Fine-Tuning Strategy, and Multi-task Instruction Tuning
Cheng Peng, Xinyu Dong, Mengxian Lyu, Daniel Paredes, Yaoyun Zhang, Yonghui Wu
https://arxiv.org/abs/2509.04753

A Study of Large Language Models for Patient Information Extraction: Model Architecture, Fine-Tuning Strategy, and Multi-task Instruction Tuning
Natural language processing (NLP) is a key technology to extract important patient information from clinical narratives to support healthcare applications. The rapid development of large language models (LLMs) has revolutionized many NLP tasks in the clinical domain, yet their optimal use in patient information extraction tasks requires further exploration. This study examines LLMs' effectiveness in patient information extraction, focusing on LLM architectures, fine-tuning strategies, and multi…

Hardware-Efficient CNNs: Interleaved Approximate FP32 Multipliers for Kernel Computation
Bindu G Gowda (International Institute of Information Technology Bangalore), Yogesh Goyal (International Institute of Information Technology Bangalore), Yash Gupta (International Institute of Information Technology Bangalore), Madhav Rao (International Institute of Information Technology Bangalore)

Hardware-Efficient CNNs: Interleaved Approximate FP32 Multipliers for Kernel Computation
Single-precision floating point (FP32) data format, defined by the IEEE 754 standard, is widely employed in scientific computing, signal processing, and deep learning training, where precision is critical. However, FP32 multiplication is computationally expensive and requires complex hardware, especially for precisely handling mantissa multiplication. In practical applications like neural network inference, perfect accuracy is not always necessary, minor multiplication errors often have little …

NeuroSwift: A Lightweight Cross-Subject Framework for fMRI Visual Reconstruction of Complex Scenes
Shiyi Zhang, Dong Liang, Yihang Zhou
https://arxiv.org/abs/2510.02266 https://…

NeuroSwift: A Lightweight Cross-Subject Framework for fMRI Visual Reconstruction of Complex Scenes
Reconstructing visual information from brain activity via computer vision technology provides an intuitive understanding of visual neural mechanisms. Despite progress in decoding fMRI data with generative models, achieving accurate cross-subject reconstruction of visual stimuli remains challenging and computationally demanding. This difficulty arises from inter-subject variability in neural representations and the brain's abstract encoding of core semantic features in complex visual inputs. To …

Signal Processing and Machine Learning Algorithms for Precise Timing with PICOSEC Micromegas Detectors
A. Kallitsopoulou, I. Maniatis, I. Manthos, T. Papaevangelou, L. Sohl, A. Tsiamis, S. E. Tzamarias
https://arxiv.org/abs/2509.13831

Signal Processing and Machine Learning Algorithms for Precise Timing with PICOSEC Micromegas Detectors
High particle rates in current and future experiments make pile-up phenomena a critical issue for extracting useful information. In this context, timing can be important as the 4$^{\mathrm{th}}$ dimension parameter for triggering or event reconstruction. The PICOSEC-Micromegas detector has been shown to offer precise timing of the order of tens of\,ps. In this work, novel signal processing algorithms are being developed and evaluated to demonstrate the technology's ability for online precise ti…

Cyber-Physical Co-Simulation of Load Frequency Control under Load-Altering Attacks
Micha{\l} Forystek, Andrew D. Syrmakesis, Alkistis Kontou, Panos Kotsampopoulos, Nikos D. Hatziargyriou, Charalambos Konstantinou
https://arxiv.org/abs/2508.00637

Cyber-Physical Co-Simulation of Load Frequency Control under Load-Altering Attacks
Integrating Information and Communications Technology (ICT) devices into the power grid brings many benefits. However, it also exposes the grid to new potential cyber threats. Many control and protection mechanisms, such as Load Frequency Control (LFC), responsible for maintaining nominal frequency during load fluctuations and Under Frequency Load Shedding (UFLS) disconnecting portion of the load during an emergency, are dependent on information exchange through the communication network. The r…

CRACI: A Cloud-Native Reference Architecture for the Industrial Compute Continuum
Hai Dinh-Tuan
https://arxiv.org/abs/2509.07498 https://arxiv.org/pdf/2509…

CRACI: A Cloud-Native Reference Architecture for the Industrial Compute Continuum
The convergence of Information Technology (IT) and Operational Technology (OT) in Industry 4.0 exposes the limitations of traditional, hierarchical architectures like ISA-95 and RAMI 4.0. Their inherent rigidity, data silos, and lack of support for cloud-native technologies impair the development of scalable and interoperable industrial systems. This paper addresses this issue by introducing CRACI, a Cloud-native Reference Architecture for the Industrial Compute Continuum. Among other features,…

ICE is seeking an information technology specialist to
“advance ICE AI priorities”
and “identify opportunities and creative solutions for AI integration.”
In a LinkedIn post, ICE’s Chief Information Officer Dustin Goetz said the role would
“lead ICE’s AI initiatives and shape the future of tech,” describing the position as being an “AI whisperer.”

POLITICO Pro: ICE is looking for an ‘AI whisperer’

Russia is losing ground! Ukrainian Armed Forces technology strikes enemy targets: https://benborges.xyz/2025/09/09/russia-is-losing-ground-ukrainian.html

Fundamental Quality Bound on Optical Quantum Communication
Tobias Rippchen, Ludovico Lami, Gerardo Adesso, Mario Berta
https://arxiv.org/abs/2510.07121 https://

Fundamental Quality Bound on Optical Quantum Communication
Sending quantum information reliably over long distances is a central challenge in quantum technology in general, and in quantum optics in particular, since most quantum communication relies on optical fibres or free-space links. Here, we address this problem by shifting the focus from the quantity of information sent to the quality of the transmission, i.e. the rate of decay of the transmission error with respect to the number of channel uses. For the general class of teleportation-simulable c…

Hidden Actions and Hidden Information in Peer Review: A Dynamic Solution
Raphael Mu
https://arxiv.org/abs/2510.04906 https://arxiv.org/pdf/2510.04906

Hidden Actions and Hidden Information in Peer Review: A Dynamic Solution
We develop a simple model of the scientific peer review process, in which authors of varying ability invest to produce papers of varying quality, and journals evaluate papers based on a noisy signal, choosing to accept or reject each paper. We find that the first-best outcome is the limiting case as the evaluation technology is perfected, even though author type and effort are not known to the journal. Then, we consider the case where journals allow authors to challenge an initial rejection, an…

Support measures in fractal geometry
Goran Radunovi\'c (University of Zagreb), Steffen Winter (Karlsruhe Institute of Technology)
https://arxiv.org/abs/2508.08780 https://…

Support measures in fractal geometry
We introduce two novel families of geometric functionals-basic contents and support contents-for investigating the fractal properties of compact subsets in Euclidean space. These functionals are derived from the support measures arising in connection with the general Steiner formula due to Hug, Last, and Weil, and offer new tools for extracting geometric information beyond classical fractal dimensions. The basic contents are constructed from the support measures of the set itself, while the sup…

Analyzing Information-Seeking Behaviors in a Hakka AI Chatbot: A Cognitive-Pragmatic Study
Chu-Hsuan Lee, Chen-Chi Chang, Hung-Shin Lee, Yun-Hsiang Hsu, Ching-Yuan Chen
https://arxiv.org/abs/2509.11591

Analyzing Information-Seeking Behaviors in a Hakka AI Chatbot: A Cognitive-Pragmatic Study
With many endangered languages at risk of disappearing, efforts to preserve them now rely more than ever on using technology alongside culturally informed teaching strategies. This study examines user behaviors in TALKA, a generative AI-powered chatbot designed for Hakka language engagement, by employing a dual-layered analytical framework grounded in Bloom's Taxonomy of cognitive processes and dialogue act categorization. We analyzed 7,077 user utterances, each carefully annotated according to…

DRKF: Decoupled Representations with Knowledge Fusion for Multimodal Emotion Recognition
Peiyuan Jiang (School of Computer Science,Engineering, University of Electronic Science,Technology of China), Yao Liu (School of Information,Software Engineering, University of Electronic Science,Technology of China), Qiao Liu (School of Computer Science,Engineering, University of Electronic Science,Technology of China), Zongshun Zhang (School of Computer Science,Engineering, University of Electron…

DRKF: Decoupled Representations with Knowledge Fusion for Multimodal Emotion Recognition
Multimodal emotion recognition (MER) aims to identify emotional states by integrating and analyzing information from multiple modalities. However, inherent modality heterogeneity and inconsistencies in emotional cues remain key challenges that hinder performance. To address these issues, we propose a Decoupled Representations with Knowledge Fusion (DRKF) method for MER. DRKF consists of two main modules: an Optimized Representation Learning (ORL) Module and a Knowledge Fusion (KF) Module. ORL e…

A distributed routing protocol for sending data from things to the cloud leveraging fog technology in the large-scale IoT ecosystem
Mohammad Reza Akbari, Hamid Barati, Ali Barati
https://arxiv.org/abs/2510.03524

A distributed routing protocol for sending data from things to the cloud leveraging fog technology in the large-scale IoT ecosystem
Fog computing integrates cloud and edge resources. According to an intelligent and decentralized method, this technology processes data generated by IoT sensors to seamlessly integrate physical and cyber environments. Internet of Things uses wireless and smart objects. They communicate with each other, monitor the environment, collect information, and respond to user requests. These objects have limited energy resources since they use batteries to supply energy. Also, they cannot replace their …

ISAC Imaging by Channel State Information using Ray Tracing for Next Generation 6G
Ahmad Bazzi, Mingjun Ying, Ojas Kanhere, Theodore S. Rappaport, Marwa Chafii
https://arxiv.org/abs/2509.06672

ISAC Imaging by Channel State Information using Ray Tracing for Next Generation 6G
Integrated sensing and communications (ISAC) is emerging as a cornerstone technology for sixth generation (6G) wireless systems, unifying connectivity and environmental mapping through shared hardware, spectrum, and waveforms. The following paper presents an ISAC imaging framework utilizing channel state information (CSI) per-path components, transmitter (TX) positions, and receiver (RX) positions obtained from the calibrated NYURay ray tracer at 6.75 GHz in the upper mid-band. Our work shows h…

Universal share based quantum multi secret image sharing scheme
Dipak K. Rabari, Yogesh K. Meghrajani, Laxmi S. Desai
https://arxiv.org/abs/2509.12979 https://

Universal share based quantum multi secret image sharing scheme
Image security for information has become increasingly critical as internet become more prevalent due to hacking and unauthorized access. To ensure the security of confidential image data, image encryption using visual cryptography plays a crucial role. To share multiple images using visual cryptography, the company organizer utilizes the concept of a universal or common share. Likewise, quantum computing is an emerging technology that facilitates secure communication. The ability of quantum co…

EchoAid: Enhancing Livestream Shopping Accessibility for the DHH Community
Zeyu Yang, Zheng Wei, Yang Zhang, Xian Xu, Changyang He, Muzhi Zhou, Pan Hui
https://arxiv.org/abs/2508.08020

EchoAid: Enhancing Livestream Shopping Accessibility for the DHH Community
Livestream shopping platforms often overlook the accessibility needs of the Deaf and Hard of Hearing (DHH) community, leading to barriers such as information inaccessibility and overload. To tackle these challenges, we developed \textit{EchoAid}, a mobile app designed to improve the livestream shopping experience for DHH users. \textit{EchoAid} utilizes advanced speech-to-text conversion, Rapid Serial Visual Presentation (RSVP) technology, and Large Language Models (LLMs) to simplify the comple…

Nvidia acquires Solver, a three-year-old AI coding agent startup formerly known as Laredo Labs, which had raised $8M from Radical Ventures and other investors (The Information)
https://www.theinformation.com/briefings/nvidia-acquires-coding-startup-solver

Nvidia Acquires Coding Startup Solver
Nvidia has acquired Solver, a three-year-old software development startup, The Information reported Tuesday . The startup, formerly known as Laredo Labs, had developed an AI coding agent and raised $8 million in financing from investors including Radical Ventures and Horizons Ventures. Nvidia regularly buys small startups, including several whose technology can lower the cost of using its

Introducing the A2AJ's Canadian Legal Data: An open-source alternative to CanLII for the era of computational law
Simon Wallace, Sean Rehaag
https://arxiv.org/abs/2509.13032

Introducing the A2AJ's Canadian Legal Data: An open-source alternative to CanLII for the era of computational law
The Access to Algorithmic Justice project (A2AJ) is an open-source alternative to the Canadian Legal Information Institute (CanLII). At a moment when technology promises to enable new ways of working with law, CanLII is becoming an impediment to the free access of law and access to justice movements because it restricts bulk and programmatic access to Canadian legal data. This means that Canada is staring down a digital divide: well-resourced actors have the best new technological tools and, be…

Understanding Exoplanet Habitability: A Bayesian ML Framework for Predicting Atmospheric Absorption Spectra
Vasuda Trehan, Kevin H. Knuth, M. J. Way
https://arxiv.org/abs/2510.08766

Understanding Exoplanet Habitability: A Bayesian ML Framework for Predicting Atmospheric Absorption Spectra
The evolution of space technology in recent years, fueled by advancements in computing such as Artificial Intelligence (AI) and machine learning (ML), has profoundly transformed our capacity to explore the cosmos. Missions like the James Webb Space Telescope (JWST) have made information about distant objects more easily accessible, resulting in extensive amounts of valuable data. As part of this work-in-progress study, we are working to create an atmospheric absorption spectrum prediction model…

Analyzing the Effect of an Extreme Weather Event on Telecommunications and Information Technology: Insights from 30 Days of Flooding
Leandro M\'arcio Bertholdo, Renan Barreto Paredes, Gabriela de Lima Marin, Cesar A. H. Loureiro, Milton Kaoru Kashiwakura Pedro de Botelho Marcos
https://arxiv.org/abs/2509.04219

Analyzing the Effect of an Extreme Weather Event on Telecommunications and Information Technology: Insights from 30 Days of Flooding
In May 2024, weeks of severe rainfall in Rio Grande do Sul, Brazil caused widespread damage to infrastructure, impacting over 400 cities and 2.3 million people. This study presents the construction of comprehensive telecommunications datasets during this climatic event, encompassing Internet measurements, fiber cut reports, and Internet Exchange routing data. By correlating network disruptions with hydrological and operational factors, the dataset offers insights into the resilience of fiber ne…

Scheduling of syndrome measurements with a few ancillary qubits
Shintaro Sato, Yasunari Suzuki
https://arxiv.org/abs/2508.07913 https://arxiv.org/pdf/2508.…

Scheduling of syndrome measurements with a few ancillary qubits
Quantum error-correcting codes are a vital technology for demonstrating reliable quantum computation. They require data qubits for encoding quantum information and ancillary qubits for taking error syndromes necessary for error correction. The need for a large number of ancillary qubits is an overhead specific to quantum computing, and it prevents the scaling of quantum computers to a useful size. In this work, we propose a framework for generating efficient syndrome measurement circuits with a…

Case Studies: Effective Approaches for Navigating Cross-Border Cloud Data Transfers Amid U.S. Government Privacy and Safety Concerns
Motunrayo Adebayo
https://arxiv.org/abs/2509.00006

Case Studies: Effective Approaches for Navigating Cross-Border Cloud Data Transfers Amid U.S. Government Privacy and Safety Concerns
This study attempts to explain the impact of information exchange from one country to another, as well as the legal and technological implications for these exchanges. Due to the emergence of cloud technology, possibilities for free exchange of information between countries have increased rapidly, as it has become possible to save information in a country and access it in almost any part of the world. Countries all around the world have been confronted with developing frameworks to facilitate t…

Autonomous Driving with RSMA-Enabled Finite Blocklength Transmissions: Ergodic Performance Analysis and Optimization
Yi Wang, Yingyang Chen, Li Wang, Donghong Cai, Xiaofan Li, Pingzhi Fan
https://arxiv.org/abs/2508.12012

Autonomous Driving with RSMA-Enabled Finite Blocklength Transmissions: Ergodic Performance Analysis and Optimization
Rate-splitting multiple access (RSMA) is a key technology for next-generation multiple access systems due to its robustness against imperfect channel state information (CSI). This makes RSMA particularly suitable for high-mobility autonomous driving, where ultra-reliable and low-latency communication (URLLC) is essential. To address the stringent requirements, this study enables RSMA finite blocklength (FBL) transmissions and explicitly evaluates the ergodic performance. We derive the closed-fo…

Sources: Microsoft will use Anthropic's models for some AI features in Office 365 apps, after finding Claude Sonnet 4 outperforms GPT-5 in some tasks (Aaron Holmes/The Information)
https://www.theinformation.com/articles/microsoft-buy-ai-anthropic-shift-op…

Microsoft to Buy AI From Anthropic in Partial Shift From OpenAI
Microsoft is taking its biggest step to lessen reliance on OpenAI’s artificial intelligenceby embracing the startup’s bitter rival Anthropic to power its most important software business. Microsoft will pay to use Anthropic’s technology for some AI features in Office 365 apps, according to two ...

LO-Aware Adaptive Modulation for Rydberg Atomic Receivers
Jiuyu Liu, Yi Ma, Rahim Tafazolli
https://arxiv.org/abs/2508.00458 https://arxiv.org/pdf/2508.004…

LO-Aware Adaptive Modulation for Rydberg Atomic Receivers
Rydberg atomic (RA) receivers represent a revolutionary quantum technology for wireless communications, offering unprecedented sensitivity beyond conventional radio frequency (RF) antennas. However, these receivers detect only signal amplitude, losing critical phase information. While reference signals generated by a local oscillator (LO) can assist in phase recovery, existing modulation schemes designed for conventional systems perform poorly with this quantum detection mechanism. This paper i…

Fine-Tuning Vision-Language Models for Markdown Conversion of Financial Tables in Malaysian Audited Financial Reports
Jin Khye Tan (Faculty of Computer Science,Information Technology, Universiti Malaya), En Jun Choong, Ethan Jeremiah Chitty, Yan Pheng Choo, John Hsin Yang Wong, Chern Eu Cheah
https://arxiv.org/abs/2508.05669

Fine-Tuning Vision-Language Models for Markdown Conversion of Financial Tables in Malaysian Audited Financial Reports
Accurately extracting and representing the structure of tabular data from financial documents remains a critical challenge in document understanding, particularly for regulatory and analytical use cases. This study addresses the complexity of converting financial tables from Malaysian audited financial reports into Markdown format, a task complicated by rotated layouts, multi-level headers, and implicit structural cues. We propose a fine-tuned vision-language model (VLM), based on Qwen2.5-VL-7B…

Light Field Super-Resolution: A Critical Review on Challenges and Opportunities
Sumit Sharma
https://arxiv.org/abs/2510.07879 https://arxiv.org/pdf/2510.07…

Light Field Super-Resolution: A Critical Review on Challenges and Opportunities
Advances in portability and low cost of plenoptic cameras have revived interest in light field imaging. Light-field imaging has evolved into a technology that enables us to capture richer visual information. This high-dimensional representation of visual data provides a powerful way to understand the scene, with remarkable improvement in traditional computer vision problems such as depth sensing , post-capture refocusing , material classification, segmentation, and video stabilization. Capturin…

Energy Experience Design
Brian Sutherland
https://arxiv.org/abs/2508.05869 https://arxiv.org/pdf/2508.05869

Energy Experience Design
The material footprint of information and communications technology (ICT) systems is both significant and growing, inspiring a variety of conversations around sustainability and climate justice. In part this effort has been catalysed by past scholarship and analysis from the LIMITS community. This paper examines energy storage systems for computing, particularly batteries -- which are discarded at the rate of 15 billion a year worldwide. The International Energy Agency (IEA) is now referring to…

Security Analysis of ChatGPT: Threats and Privacy Risks
Yushan Xiang, Zhongwen Li, Xiaoqi Li
https://arxiv.org/abs/2508.09426 https://arxiv.org/pdf/2508.09…

Security Analysis of ChatGPT: Threats and Privacy Risks
As artificial intelligence technology continues to advance, chatbots are becoming increasingly powerful. Among them, ChatGPT, launched by OpenAI, has garnered widespread attention globally due to its powerful natural language processing capabilities based on the GPT model, which enables it to engage in natural conversations with users, understand various forms of linguistic expressions, and generate useful information and suggestions. However, as its application scope expands, user demand grows…

At the White House dinner, Zuckerberg said Meta plans to spend "something like at least $600B" through 2028 on data centers and other infrastructure in the US (Kalley Huang/The Information)
https://www.theinformation.com/briefings/meta…

Meta Plans to Spend $600 Billion Through 2028 in the U.S., Zuckerberg Says
Meta Platforms plans to spend “something like at least $600 billion” through 2028 on data centers and other infrastructure in the U.S., Meta CEO Mark Zuckerberg said on Thursday at a dinner with President Donald Trump and other technology executives. In July, Meta estimated its capital expenditures in 2025 would be between $66 billion and $72 billion, up at least 68% from its capital

Progressive Web Application for Storytelling Therapy Support
Javier Jimenez-Honrado, Javier Gomez Garcia, Felipe Costa-Tebar, Felix A. Marco, Jose A. Gallud, Gabriel Sebastian Rivera
https://arxiv.org/abs/2507.22839

Progressive Web Application for Storytelling Therapy Support
In spite of all advances promoted by information technologies, there are still activities where this technology is not applied for reasons such as being carried out in non-profit organizations or because they have not adapted to this modernization. Until recently, the way to work with mobile devices was either by connecting through a web page with the device's browser, or by downloading an application from the corresponding platform. But lately, technologies are being developed that aim to brea…

Indoor Positioning with Wi-Fi Location: A Survey of IEEE 802.11mc/az/bk Fine Timing Measurement Research
Katarzyna Kosek-Szott, Szymon Szott, Wojciech Ciezobka, Maksymilian Wojnar, Krzysztof Rusek, Jonathan Segev
https://arxiv.org/abs/2509.03901

Indoor Positioning with Wi-Fi Location: A Survey of IEEE 802.11mc/az/bk Fine Timing Measurement Research
Indoor positioning is an enabling technology for home, office, and industrial network users because it provides numerous information and communication technology (ICT) and Internet of things (IoT) functionalities such as indoor navigation, smart meter localization, asset tracking, support for emergency services, and detection of hazardous situations. The IEEE 802.11mc fine timing measurement (FTM) protocol (commercially known as Wi-Fi Location) has great potential to enable indoor positioning i…

Sources: plans for X Money, a nationwide peer-to-peer payments service integrated into X, have stalled as DFS NY and other state regulators raise concerns (Theo Wayt/The Information)
https://www.theinformation.com/articles/elon-musks-x-money…

Elon Musk’s X Money Plans Stalled by Regulators, Staff Turnover
For decades, one of Elon Musk’s biggest ambitions has been using technology to disrupt and replace traditional banks and payments processors. One of his management obsessions, meanwhile, has been pushing his employees to build things as quickly and cheaply as possible. Inside X, those two ideals ...

Evaluating Security Properties in the Execution of Quantum Circuits
Paolo Bernardi, Antonio Brogi, Gian-Luigi Ferrari, Giuseppe Bisicchia
https://arxiv.org/abs/2509.03306 https:…

Evaluating Security Properties in the Execution of Quantum Circuits
Quantum computing is a disruptive technology that is expected to offer significant advantages in many critical fields (e.g. drug discovery and cryptography). The security of information processed by such machines is therefore paramount. Currently, modest Noisy Intermediate-Scale Quantum (NISQ) devices are available. The goal of this work is to identify a practical, heuristic methodology to evaluate security properties, such as secrecy and integrity, while using quantum processors owned by poten…

Near-field Liquid Crystal RIS Phase-Shift Design for Secure Wideband Illumination
Mohamadreza Delbari, Qikai Zhou, Robin Neuder, Alejandro Jim\'enez-S\'aez, Vahid Jamali
https://arxiv.org/abs/2508.04331

Near-field Liquid Crystal RIS Phase-Shift Design for Secure Wideband Illumination
Liquid crystal (LC) technology provides a low-power and scalable approach to implement a reconfigurable intelligent surface (RIS). However, the LC-based RIS's phase-shift response is inherently frequency-dependent, which can lead to performance degradation if not properly addressed. This issue becomes especially critical in secure communication systems, where such variations may result in considerable information leakage. To avoid the need for full channel state information (CSI) acquisition an…

Generative AI for Critical Infrastructure in Smart Grids: A Unified Framework for Synthetic Data Generation and Anomaly Detection
Aydin Zaboli, Junho Hong
https://arxiv.org/abs/2508.08593

Generative AI for Critical Infrastructure in Smart Grids: A Unified Framework for Synthetic Data Generation and Anomaly Detection
In digital substations, security events pose significant challenges to the sustained operation of power systems. To mitigate these challenges, the implementation of robust defense strategies is critically important. A thorough process of anomaly identification and detection in information and communication technology (ICT) frameworks is crucial to ensure secure and reliable communication and coordination between interconnected devices within digital substations. Hence, this paper addresses the …

AI4DiTraRe: Building the BFO-Compliant Chemotion Knowledge Graph
Ebrahim Norouzi, Nicole Jung, Anna M. Jacyszyn, J\"org Waitelonis, Harald Sack
https://arxiv.org/abs/2509.01536

AI4DiTraRe: Building the BFO-Compliant Chemotion Knowledge Graph
Chemistry is an example of a discipline where the advancements of technology have led to multi-level and often tangled and tricky processes ongoing in the lab. The repeatedly complex workflows are combined with information from chemical structures, which are essential to understand the scientific process. An important tool for many chemists is Chemotion, which consists of an electronic lab notebook and a repository. This paper introduces a semantic pipeline for constructing the BFO-compliant Ch…

EMPalm: Exfiltrating Palm Biometric Data via Electromagnetic Side-Channels
Haowen Xu, Tianya Zhao, Xuyu Wang, Lei Ma, Jun Dai, Alexander Wyglinski, Xiaoyan Sun
https://arxiv.org/abs/2510.07533

EMPalm: Exfiltrating Palm Biometric Data via Electromagnetic Side-Channels
Palm recognition has emerged as a dominant biometric authentication technology in critical infrastructure. These systems operate in either single-modal form, using palmprint or palmvein individually, or dual-modal form, fusing the two modalities. Despite this diversity, they share similar hardware architectures that inadvertently emit electromagnetic (EM) signals during operation. Our research reveals that these EM emissions leak palm biometric information, motivating us to develop EMPalm--an a…

RIS-Assisted Near-Field ISAC for Multi-Target Indication in NLoS Scenarios
Hang Ruan (Weizmann Institute of Science), Homa Nikbakht (Weizmann Institute of Science, Princeton University), Ruizhi Zhang (Weizmann Institute of Science, University of Electronic Science and Technology of China), Honglei Chen (MathWorks, Inc), Yonina C. Eldar (Weizmann Institute of Science)

RIS-Assisted Near-Field ISAC for Multi-Target Indication in NLoS Scenarios
Enabling multi-target sensing in near-field integrated sensing and communication (ISAC) systems is a key challenge, particularly when line-of-sight paths are blocked. This paper proposes a beamforming framework that leverages a reconfigurable intelligent surface (RIS) to achieve multi-target indication. Our contribution is the extension of classic beampattern gain and inter-target cross-correlation metrics to the near-field, leveraging both angle and distance information to discriminate between…

I Can't Patch My OT Systems! A Look at CISA's KEVC Workarounds & Mitigations for OT
Philip Huff, Nishka Gandu, Pavel Nov\'ak
https://arxiv.org/abs/2510.06951 htt…

I Can't Patch My OT Systems! A Look at CISA's KEVC Workarounds & Mitigations for OT
We examine the state of publicly available information about known exploitable vulnerabilities applicable to operational technology (OT) environments. Specifically, we analyze the Known Exploitable Vulnerabilities Catalog (KEVC) maintained by the US Department of Homeland Security Cybersecurity and Infrastructure Security Agency (CISA) to assess whether currently available data is sufficient for effective and reliable remediation in OT settings. Our team analyzed all KEVC entries through July 2…

A Genetic Algorithm Approach to Anti-Jamming UAV Swarm Behavior
Tiago Silva, Ant\'onio Grilo
https://arxiv.org/abs/2510.07292 https://arxiv.org/pdf/251…

A Genetic Algorithm Approach to Anti-Jamming UAV Swarm Behavior
In recent years, Unmanned Aerial Vehicles (UAVs) have brought a new true revolution to military tactics. While UAVs already constitute an advantage when operating alone, multi-UAV swarms expand the available possibilities, allowing the UAVs to collaborate and support each other as a team to carry out a given task. This entails the capability to exchange information related with situation awareness and action coordination by means of a suitable wireless communication technology. In such scenario…

3D-Image Reconstruction using MIMO-SAR FMCW Radar
Ayush Jha, Dhanireddy Chandrika, Chandra Sekhar Seelamantula, Chetan Singh Thakur
https://arxiv.org/abs/2509.05977 https://

3D-Image Reconstruction using MIMO-SAR FMCW Radar
With the advancement of millimeter-wave radar technology, Synthetic Aperture Radar (SAR) imaging at millimeter-wave frequencies has gained significant attention in both academic research and industrial applications. However, traditional SAR imaging algorithms primarily focus on extracting two-dimensional information from detected targets, which limits their potential for 3D scene reconstruction. In this work, we demonstrated a fast time-domain reconstruction algorithm for achieving high-resolut…

Measuring the Carbon Footprint of Cryptographic Privacy-Enhancing Technologies
Marc Damie, Mihai Pop, Merijn Posthuma
https://arxiv.org/abs/2508.04583 https://

Measuring the Carbon Footprint of Cryptographic Privacy-Enhancing Technologies
Privacy-enhancing technologies (PETs) have attracted significant attention in response to privacy regulations, driving the development of applications that prioritize user data protection. At the same time, the information and communication technology (ICT) sector faces growing pressure to reduce its environmental footprint, particularly its carbon emissions. While numerous studies have assessed the energy footprint of various ICT applications, the environmental footprint of cryptographic PETs …