Tootfinder

This is a lovely review of my latest Buildings&Cities paper on clinic layouts at Moorfields Eye Hospital NHS Trust
https://sustainableconstructionreview.com/2025/06/12/moorfields-eye-hospital-redesigns-pa…

Moorfields Eye Hospital Redesigns Patient Flow with Architectural Innovation
In the bustling corridors of Moorfields Eye Hospital, a silent revolution is underway, one that could reshape how we think about patient flow and clinic design. At the heart of this transformation is…

The US NSF and Nvidia partner to fund the Open Multimodal Infrastructure to Accelerate Science project, led by Ai2; NSF is contributing $75M and Nvidia $77M (Kyt Dotson/SiliconANGLE)
https://siliconangle.com/2025/08/14/nsf-nvidi…

NSF and Nvidia partner develop fully open AI models to lead US science innovation - SiliconANGLE
NSF and Nvidia partner develop fully open AI models to lead US science innovation - SiliconANGLE

The Evolving Role of Large Language Models in Scientific Innovation: Evaluator, Collaborator, and Scientist
Haoxuan Zhang, Ruochi Li, Yang Zhang, Ting Xiao, Jiangping Chen, Junhua Ding, Haihua Chen
https://arxiv.org/abs/2507.11810

The Evolving Role of Large Language Models in Scientific Innovation: Evaluator, Collaborator, and Scientist
Scientific innovation is undergoing a paradigm shift driven by the rapid advancement of Large Language Models (LLMs). As science faces mounting challenges including information overload, disciplinary silos, and diminishing returns on conventional research methods, LLMs are emerging as powerful agents capable not only of enhancing scientific workflows but also of participating in and potentially leading the innovation process. Existing surveys mainly focus on different perspectives, phrases, and…

Detroit announces the return of trains at their central station (or at least very near it) bus station a potential extension of the Wolverine Amtrak train from Chicago all the way to Windsor/Toronto
Canadian extension would require some Canadian funds, in the current political climate I have my doubts. But glad to see Detroit re-investing into better transport infrastructure.

A Holistic Approach to E-Commerce Innovation: Redefining Security and User Experience
Mohammad Olid Ali Akash (North South University), Priyangana Saha (North South University)
https://arxiv.org/abs/2509.11712

A Holistic Approach to E-Commerce Innovation: Redefining Security and User Experience
In the modern, fast-moving world of e-commerce, many Android apps face challenges in providing a simple and secure shopping experience. Many of these apps, often enough, have complicated designs that prevent users from finding what they want quickly, thus frustrating them and wasting their precious time. Another major issue is that of security; with the limitation of payment options and weak authentication mechanisms, users' sensitive information can be compromised. This research presents a new…

CFP: American Academy of Religion, Western Region 2026 Conference: Religion, Technology, and Innovation
https://ift.tt/7UtMlKa
Prof. Ruth Halperin-Kaddari, LLM, JSD: "Recognition and Justice for Victims of Sexual Violence in…
via Input 4 RELCFP

SCOR: A Framework for Responsible AI Innovation in Digital Ecosystems
Mohammad Saleh Torkestani, Taha Mansouri
https://arxiv.org/abs/2509.10653 https://arx…

SCOR: A Framework for Responsible AI Innovation in Digital Ecosystems
AI-driven digital ecosystems span diverse stakeholders including technology firms, regulators, accelerators and civil society, yet often lack cohesive ethical governance. This paper proposes a four-pillar framework (SCOR) to embed accountability, fairness, and inclusivity across such multi-actor networks. Leveraging a design science approach, we develop a Shared Ethical Charter(S), structured Co-Design and Stakeholder Engagement protocols(C), a system of Continuous Oversight and Learning(O), an…

I read UCL's Vision for Inclusive Innovation and Transformation: 'our vision for a ‘data empowered society’ is one in which these advances enrich our society and enable us to make informed, inclusive decisions about technological advances' ht…

Building a Data-Empowered Society: UCL’s Vision for Inclusive Innovation and Transformation
Written by Professor James Hetherington and Professor Alison Littlejohn, Pro-Vice-Provosts to the UCL Grand Challenges theme of Data and…

"🔜 Energy Grids Package to fix 8 critical bottlenecks across Europe – from the Pyrenees to the Trans-Balkan pipeline, from the Øresund Strait to the Sicilian Canal"
Pyrenees, you say? Us Iberians are getting properly connected with the grid of the rest of Europe? That's about freaking time, eh?
https://…

To ChatGPT: Would the "move fast and break things" approach of Elon Musk suit Neuralink brain implant development? Some tension between innovation and regulation seems by itself not a bad thing. https://chatgpt.com/share/68f13766-8348-8004-a591-a8fd43114cc5

ChatGPT - Move fast and break things
Shared via ChatGPT

Software-AG-Verkauf: „Jedes Asset wird zu Geld gemacht“ - Wie viel Software steckt noch in der Software AG? Laut #Handelsblatt bleibt am Ende des Silver-Lake-Schachzugs wenig mehr als ein paar Patente und Namensschild. Wer nur noch den Liquidationswert sieht, hat den Wert der Innovation längst abgeschrieben.

#Altenpflege #Pflegeheim:
Ich habe das alles als Angehöriger kürzlich durchgemacht. Sehr herausfordernd. Bei weitem nicht nur finanziell.
Aber es geht auch anders: Wie "Mitmach-Heime" funktionieren.
Via @…

Andere Altenpflege ist möglich: Wie "Mitmach-Heime" funktionieren
Pflege kostet jährlich 70 Milliarden Euro, belastet Beitragszahler, Staat und Betroffene - und viele Senioren fühlen sich schlecht versorgt. Ein Unternehmer aus Baden-Württemberg will das ändern.

Big Tech's reverse acquihires for AI talent are hollowing out startups and eroding the culture that has made Silicon Valley an unparalleled source of innovation (Asa Fitch/Wall Street Journal)
https://www.wsj.com/tech/ai/ai-researchers

Agentic Lybic: Multi-Agent Execution System with Tiered Reasoning and Orchestration
Liangxuan Guo, Bin Zhu, Qingqian Tao, Kangning Liu, Xun Zhao, Xianzhe Qin, Jin Gao, Guangfu Hao
https://arxiv.org/abs/2509.11067

Agentic Lybic: Multi-Agent Execution System with Tiered Reasoning and Orchestration
Autonomous agents for desktop automation struggle with complex multi-step tasks due to poor coordination and inadequate quality control. We introduce \textsc{Agentic Lybic}, a novel multi-agent system where the entire architecture operates as a finite-state machine (FSM). This core innovation enables dynamic orchestration. Our system comprises four components: a Controller, a Manager, three Workers (Technician for code-based operations, Operator for GUI interactions, and Analyst for decision su…

CALL FOR APPLICATIONS
Fellow: ‘Fast and Fair’ Energy System Innovation
The Cascade Institute seeks a Fellow to contribute to our Scale Up & Acceleration research stream. The Fellow will identify pathways to accelerated energy system innovation that simultaneously promote justice, equity, and reconciliation—that, in other words, reconcile fast innovation with fair innovation.
1/2
Competition closes October 3.

Measuring Innovation Patterns in Iran and Neighboring Countries: A Time Series Similarity Approach Using STL and Dynamic Time Warping
Mahdi Goldani
https://arxiv.org/abs/2510.10323

Measuring Innovation Patterns in Iran and Neighboring Countries: A Time Series Similarity Approach Using STL and Dynamic Time Warping
Innovation is becoming ever more pivotal to national development strategies but measuring and comparing innovation performance across nations is still a methodological challenges. This research devises a new time-series similarity method that integrates Seasonal-Trend decomposition (STL) with Fast Dynamic Time Warping (DTW) to examine Irans innovation trends by comparison with its regional peers. Owing to data availability constraints of Global Innovation Index data , research and development s…

CFP: American Academy of Religion, Western Region 2026 Conference: Religion, Technology, and Innovation https://networks.h-net.org/group/announcements/20128336/cfp-american-academy-religion-western-region-2026-conference…

"Countries that neglect #science become dependent on those that don’t. U.S. post-WWII dominance came from basic science investments (OSRD, NSF, NIH, DOE labs). After WWII ended, the UK slashed science investment which allowed the U.S. to commercialize the British inventions made during the war.
...[USSR failed] to convert science into sustained innovation...during the same time that U.…

Steve Blank No Science, No Startups: The Innovation Engine We’re Switching Off
Tons of words have been written about the Trump Administrations war on Science in Universities. But few people have asked what, exactly, is science? How does it work? Who are the scientists? What d…

How the coupling of green finance and green technology innovation affect synergistic effect of pollution and emission carbon reduction: evidence from China
Guoqiang Liu, Ruijun Xie
https://arxiv.org/abs/2510.09707

How the coupling of green finance and green technology innovation affect synergistic effect of pollution and emission carbon reduction: evidence from China
Amid China's dual-carbon transition, the synergistic alignment of green finance with green-technology innovation is pivotal for co-controlling pollution and CO2 emissions. Using panel data for 266 Chinese prefecture-level cities over 2007-2023, We construct the coupling coordination index system of green finance and green technology innovation via a coupling-coordination model and systematically analyzes influencing mechanism of synergistic effect of pollution and carbon reduction. Four finding…

Multivariate Low-Rank State-Space Model with SPDE Approach for High-Dimensional Data
Jacopo Rodeschini, Lorenzo Tedesco, Francesco Finazzi, Philipp Otto, Alessandro Fass\`o
https://arxiv.org/abs/2509.12825

Multivariate Low-Rank State-Space Model with SPDE Approach for High-Dimensional Data
This paper proposes a novel low-rank approximation to the multivariate State-Space Model. The Stochastic Partial Differential Equation (SPDE) approach is applied component-wise to the independent-in-time Matérn Gaussian innovation term in the latent equation, assuming component independence. This results in a sparse representation of the latent process on a finite element mesh, allowing for scalable inference through sparse matrix operations. Dependencies among observed components are introduc…

Ratio1 -- AI meta-OS
Andrei Damian, Petrica Butusina, Alessandro De Franceschi, Vitalii Toderian, Marius Grigoras, Cristian Bleotiu
https://arxiv.org/abs/2509.12223 https://

Ratio1 -- AI meta-OS
We propose the Ratio1 AI meta-operating system (meta-OS), a decentralized MLOps protocol that unifies AI model development, deployment, and inference across heterogeneous edge devices. Its key innovation is an integrated blockchain-based framework that transforms idle computing resources (laptops, smartphones, cloud VMs) into a trustless global supercomputer. The architecture includes novel components: a decentralized authentication layer (dAuth), an in-memory state database (CSTORE), a distrib…

Sentiment Feedback in Equity Markets: Asymmetries, Retail Heterogeneity, and Structural Calibration
Lucas Marques Sneller
https://arxiv.org/abs/2509.11970 https://

Sentiment Feedback in Equity Markets: Asymmetries, Retail Heterogeneity, and Structural Calibration
We study how sentiment shocks propagate through equity returns and investor clientele using four independent proxies with sign-aligned kappa-rho parameters. A structural calibration links a one standard deviation innovation in sentiment to a pricing impact of 1.06 basis points with persistence parameter rho = 0.940, yielding a half-life of 11.2 months. The impulse response peaks around the 12-month horizon, indicating slow-moving amplification. Cross-sectionally, a simple D10-D1 portfolio earns…

An Internet of Intelligent Things Framework for Decentralized Heterogeneous Platforms
Vadim Allayev, Mahbubur Rahman
https://arxiv.org/abs/2509.10507 https://

An Internet of Intelligent Things Framework for Decentralized Heterogeneous Platforms
Internet of Intelligent Things (IoIT), an emerging field, combines the utility of Internet of Things (IoT) devices with the innovation of embedded AI algorithms. However, it does not come without challenges, and struggles regarding available computing resources, energy supply, and storage limitations. In particular, many impediments to IoIT are linked to the energy-efficient deployment of machine learning (ML)/deep learning (DL) models in embedded devices. Research has been conducted to design …

MAPS: A Mode-Aware Probabilistic Scheduling Framework for LPV-Based Adaptive Control
Taehun Kim, Guntae Kim, Cheolmin Jeong, Chang Mook Kang
https://arxiv.org/abs/2509.12695 htt…

MAPS: A Mode-Aware Probabilistic Scheduling Framework for LPV-Based Adaptive Control
This paper proposes Mode-Aware Probabilistic Scheduling (MAPS), a novel adaptive control framework tailored for DC motor systems experiencing varying friction. MAPS uniquely integrates an Interacting Multiple Model (IMM) estimator with a Linear Parameter-Varying (LPV) based control strategy, leveraging real-time mode probability estimates to perform probabilistic gain scheduling. A key innovation of MAPS lies in directly using the updated mode probabilities as the interpolation weights for onli…

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 …

Cooperative Face Liveness Detection from Optical Flow
Artem Sokolov, Mikhail Nikitin, Anton Konushin
https://arxiv.org/abs/2508.10786 https://arxiv.org/pdf…

Cooperative Face Liveness Detection from Optical Flow
In this work, we proposed a novel cooperative video-based face liveness detection method based on a new user interaction scenario where participants are instructed to slowly move their frontal-oriented face closer to the camera. This controlled approaching face protocol, combined with optical flow analysis, represents the core innovation of our approach. By designing a system where users follow this specific movement pattern, we enable robust extraction of facial volume information through neur…

@… Perhaps of interest?
https://www.islandinnovation.co/events/virtual-island-summit-2025#speakers-page-1…

Island Innovation - Sustainable Development for Islands Worldwide
Island Innovation is a leading consultancy specializing in sustainable development, climate resilience, and innovation for island communities worldwide.

Balancing Innovation and Oversight: Regulatory Sandboxes as a Tool for AI Governance
https://fpf.org/blog/balancing-innovation-and-oversight-regulatory-sandboxes-as-a-tool-for-ai-governance/
@…

Crosslisted article(s) found for cs.SE. https://arxiv.org/list/cs.SE/new
[1/1]:
- Bridging AI Innovation and Healthcare Needs: Lessons Learned from Incorporating Modern NLP at The...
Lovedeep Gondara, Gregory Arbour, Raymond Ng, Jonathan Simkin, Shebnum Devji

The Safety Gap Toolkit: Evaluating Hidden Dangers of Open-Source Models
Ann-Kathrin Dombrowski, Dillon Bowen, Adam Gleave, Chris Cundy
https://arxiv.org/abs/2507.11544

The Safety Gap Toolkit: Evaluating Hidden Dangers of Open-Source Models
Open-weight large language models (LLMs) unlock huge benefits in innovation, personalization, privacy, and democratization. However, their core advantage - modifiability - opens the door to systemic risks: bad actors can trivially subvert current safeguards, turning beneficial models into tools for harm. This leads to a 'safety gap': the difference in dangerous capabilities between a model with intact safeguards and one that has been stripped of those safeguards. We open-source a toolkit to est…

#CFP: 2026 Conference: Religion, Technology, and Innovation
https://ift.tt/6ob2CTY
2026 Call for Papers
via Input 4 RELCFP

#CFP: 2026 Conference: Religion, Technology, and Innovation
2026 Call for Papers

Statistical Guarantees for High-Dimensional Stochastic Gradient Descent
Jiaqi Li, Zhipeng Lou, Johannes Schmidt-Hieber, Wei Biao Wu
https://arxiv.org/abs/2510.12013 https://

Statistical Guarantees for High-Dimensional Stochastic Gradient Descent
Stochastic Gradient Descent (SGD) and its Ruppert-Polyak averaged variant (ASGD) lie at the heart of modern large-scale learning, yet their theoretical properties in high-dimensional settings are rarely understood. In this paper, we provide rigorous statistical guarantees for constant learning-rate SGD and ASGD in high-dimensional regimes. Our key innovation is to transfer powerful tools from high-dimensional time series to online learning. Specifically, by viewing SGD as a nonlinear autoregres…

At no other time in modern history has a country so thoroughly turned its back on its core national strengths.
With devastating cuts to science and health research,
the administration is turning its back on a history of being powered and renewed by the innovation and vision of immigrants.
What America may find is that we have squandered the greatest gift from the Manhattan Project
— which, in the end, wasn’t the bomb
— but a new way of looking at how science a…

Opinion | Trump Is Squandering the Greatest Gift of the Manhattan Project
The U.S. risks not just being left behind, but out of the game entirely.

Würde Merz' Regierung ihren Job machen, könnten sich alle anderen viel besser darauf konzentrieren, ihren Job zu machen.
Aber statt dessen Geldverschwendung, Steigerung der Strompreise, Abbau bei Bildung, Verwässerung von Innovation und Forschung, sinnloser Kulturkampf. All den Mist kann man nicht einfach passieren lassen und so schadet der dreckige Populismus vom rechten Rand der Produktivität und der Wirtschaft. Mal ganz abgesehen vom Zusammenhalt in der Gesellschaft.

Who is a Better Matchmaker? Human vs. Algorithmic Judge Assignment in a High-Stakes Startup Competition
Sarina Xi, Orelia Pi, Miaomiao Zhang, Becca Xiong, Jacqueline Ng Lane, Nihar B. Shah
https://arxiv.org/abs/2510.12692

Who is a Better Matchmaker? Human vs. Algorithmic Judge Assignment in a High-Stakes Startup Competition
There is growing interest in applying artificial intelligence (AI) to automate and support complex decision-making tasks. However, it remains unclear how algorithms compare to human judgment in contexts requiring semantic understanding and domain expertise. We examine this in the context of the judge assignment problem, matching submissions to suitably qualified judges. Specifically, we tackled this problem at the Harvard President's Innovation Challenge, the university's premier venture compet…

Innovation: China wird bei Patenten immer unabhängiger vom Rest der Welt
China ist schon seit Jahren führend bei Patentanmeldungen. Jetzt hat eine Forschungsgruppe ermittelt, dass der Einfluss ausländischer Forschung zurückgeht.

[Part 1] The GÉANT (GN5-2) Above-the-Net Services Incubator is proud to award 4 projects set to advance digital services for European R&E 🎉
These projects reflect our community’s drive to innovate, co-create, and deliver meaningful impact by developing digital services to power the next generation of data-intensive science & cross-border research collaboration.
👏 Big congratulations to the organisations leading these initiatives.
➡️ Meet the awarded projects:

Kyiv Independent wins Online Journalism Award for Innovation in Revenue Strategy: https://benborges.xyz/2025/09/12/kyiv-independent-wins-online-journalism.html

Wikimedia Foundation & Anor v Secretary of State for Science, Innovation and Technology
https://caselaw.nationalarchives.gov.uk/ewhc/admin/2025/2086

Learning Mean-Field Games through Mean-Field Actor-Critic Flow
Mo Zhou, Haosheng Zhou, Ruimeng Hu
https://arxiv.org/abs/2510.12180 https://arxiv.org/pdf/25…

Learning Mean-Field Games through Mean-Field Actor-Critic Flow
We propose the Mean-Field Actor-Critic (MFAC) flow, a continuous-time learning dynamics for solving mean-field games (MFGs), combining techniques from reinforcement learning and optimal transport. The MFAC framework jointly evolves the control (actor), value function (critic), and distribution components through coupled gradient-based updates governed by partial differential equations (PDEs). A central innovation is the Optimal Transport Geodesic Picard (OTGP) flow, which drives the distributio…

Why the US is letting China win on energy innovation
<https://theconversation.com/why-the-us-is-letting-china-win-on-energy-innovation-261109?utm_source=fediverse&utm_medium=bylinetwitterbut…

Why the US is letting China win on energy innovation
China is roaring forward in the race to be the world’s clean energy powerhouse.

We have a slate of jobs opening up - apologies, only have a LinkedIn link for now: https://www.linkedin.com/posts/delyno-dutoit_city-of-cape-town-jobs-linkedin-activity-7361684604451221504-hJb1
Will update and do a lon…

New positions in the City of Cape Town Data Analytics Hub! | Delyno du Toit
New positions in the City of Cape Town Data Analytics Hub! The Hub is the next chapter for our highly successful Data Science team, expanding its mission to be the nerve center for data-driven strategy and innovation across our entire organization. What if your next data product could help manage a City's water supply or your models make public transport more efficient? We are looking for curious and talented individuals to join us. We have several open positions: -) Head: Data Science -) H…

The Future is Fluid: Revolutionizing DOA Estimation with Sparse Fluid Antennas
He Xu, Tuo Wu, Ye Tian, Ming Jin, Wei Liu, Qinghua Guo, Maged Elkashlan, Matthew C. Valenti, Chan-Byoung Chae, Kin-Fai Tong, Kai-Kit Wong
https://arxiv.org/abs/2508.10826

The Future is Fluid: Revolutionizing DOA Estimation with Sparse Fluid Antennas
This paper investigates a design framework for sparse fluid antenna systems (FAS) enabling high-performance direction-of-arrival (DOA) estimation, particularly in challenging millimeter-wave (mmWave) environments. By ingeniously harnessing the mobility of fluid antenna (FA) elements, the proposed architectures achieve an extended range of spatial degrees of freedom (DoF) compared to conventional fixed-position antenna (FPA) arrays. This innovation not only facilitates the seamless application o…

Variational boundary based tensor network renormalization group
Feng-Feng Song, Naoki Kawashima
https://arxiv.org/abs/2508.10418 https://arxiv.org/pdf/2508…

Variational boundary based tensor network renormalization group
We propose a real-space renormalization group algorithm for accurately coarse-graining two-dimensional tensor networks. The central innovation of our method lies in utilizing variational boundary tensors as a globally optimized environment for the entire system. Based on this optimized environment, we construct renormalization projectors that significantly enhance accuracy. By leveraging the canonical form of tensors, our algorithm maintains the same computational complexity as the original ten…

A Quantum Generative Framework for Modeling Single-Cell Transcriptomes with Gene-Gene and Cell-Cell Interactions
Selim Romero, Vignesh Kumar, Robert S. Chapkin, James J. Cai
https://arxiv.org/abs/2510.12776

A Quantum Generative Framework for Modeling Single-Cell Transcriptomes with Gene-Gene and Cell-Cell Interactions
Single-cell RNA sequencing (scRNA-seq) data simulation is limited by classical methods that rely on linear correlations, failing to capture the intrinsic, nonlinear dependencies and the simultaneous gene-gene and cell-cell interactions. We introduce qSimCells, a novel hybrid quantum-classical simulator that leverages quantum entanglement to model single-cell transcriptomes. The core innovation is a quantum kernel that uses a parameterized quantum circuit with CNOT gates to encode complex, nonli…

The #TrumpTax has claimed another factory, this time it’s the #GeorgiaPacific #cellulose mill in #Memphis.…

ABC24 Memphis
ABC24 Memphis (WATN-TV) & CW30 News Right Now work to tell stories that matter to your family and stories that celebrate life in Memphis and the Mid-South. We invite you to subscribe to our channel and to visit us on our website, https://www.abc24.com. If you have questions or news tips you can always reach out to us at newsdesk@abc24.com Thanks for watching!

Beyond Private or Public: Large Language Models as Quasi-Public Goods in the AI Economy
Yukun Zhang, TianYang Zhang
https://arxiv.org/abs/2509.13265 https://

Beyond Private or Public: Large Language Models as Quasi-Public Goods in the AI Economy
This paper conceptualizes Large Language Models (LLMs) as a form of mixed public goods within digital infrastructure, analyzing their economic properties through a comprehensive theoretical framework. We develop mathematical models to quantify the non-rivalry characteristics, partial excludability, and positive externalities of LLMs. Through comparative analysis of open-source and closed-source development paths, we identify systematic differences in resource allocation efficiency, innovation t…

Last week, October sunshine in Freiburg at the anual #NFDIMatWerk planning & strategy meeting at Freiburg Innovation Center FRIZ. Usually, I don't complain about the food, but ... hey guys, there is room for improvement ;-)
Overall outcome: The MSE KnowledgeGraph will be THE central hub for all NFDIMatWerk resources

Biased-Attention Guided Risk Prediction for Safe Decision-Making at Unsignalized Intersections
Chengyang Dong, Nan Guo
https://arxiv.org/abs/2510.12428 https://

Biased-Attention Guided Risk Prediction for Safe Decision-Making at Unsignalized Intersections
Autonomous driving decision-making at unsignalized intersections is highly challenging due to complex dynamic interactions and high conflict risks. To achieve proactive safety control, this paper proposes a deep reinforcement learning (DRL) decision-making framework integrated with a biased attention mechanism. The framework is built upon the Soft Actor-Critic (SAC) algorithm. Its core innovation lies in the use of biased attention to construct a traffic risk predictor. This predictor assesses …

from my link log —
Runtime-extensible PEG parsers for SQL.
https://duckdb.org/2024/11/22/runtime-extensible-parsers.html
saved 2024-11-22 …

Runtime-Extensible SQL Parsers Using PEG
Despite their central role in processing queries, parsers have not received any noticeable attention in the data systems space. State-of-the art systems are content with ancient old parser generators. These generators create monolithic, inflexible and unforgiving parsers that hinder innovation in query languages and frustrate users. Instead, parsers should be rewritten using modern abstractions like Parser Expression Grammars (PEG), which allow dynamic changes to the accepted query syntax and b…

QDER: Query-Specific Document and Entity Representations for Multi-Vector Document Re-Ranking
Shubham Chatterjee, Jeff Dalton
https://arxiv.org/abs/2510.11589 https://

QDER: Query-Specific Document and Entity Representations for Multi-Vector Document Re-Ranking
Neural IR has advanced through two distinct paths: entity-oriented approaches leveraging knowledge graphs and multi-vector models capturing fine-grained semantics. We introduce QDER, a neural re-ranking model that unifies these approaches by integrating knowledge graph semantics into a multi-vector model. QDER's key innovation lies in its modeling of query-document relationships: rather than computing similarity scores on aggregated embeddings, we maintain individual token and entity representa…

This is just such a waste of money.
https://ec.social-network.europa.eu/@EUCommission/115343249383566862

European Commission (@EUCommission@ec.social-network.europa.eu)
Attached: 1 image Europe is upping its game in AI. Researchers, innovators & policymakers now have stronger support to shape the future of science. Today we launched two AI strategies to boost EU leadership in scientific innovation: 🥼 AI in Science 🔹Access to AI Factories & Gigafactories 🔹Stronger EU & global cooperation 🔹 Impact on major challenges such as climate change and health 🔬 Apply AI: 🔹Enhances EU tech sovereignty 🔹Targeted actions to boost AI in key secto…

Koalas vs. Crows: An Evolutionary Theory of #Software
https://ajmoon.com/posts/koalas-vs-crows-an-evolutionary-theory-of-software

Coole Sache, aber dieser Vergleich schmerzt: "Die gelieferte Treibstoffmenge entspricht etwa 7 Prozent des Kraftstoffbedarfs für einen Flug von Hamburg nach Zürich." 🙃
Aktuelles - Innovation.zuerich
https://innovation.zuerich/news/aktuel

Aktuelles - Innovation.zuerich
Erfahren Sie das Neuste rund ums Thema Innovation im Kanton Zürich: Aktuelle News, Events, Open Calls, Studien etc. auf innovation.zuerich.

Replaced article(s) found for econ.GN. https://arxiv.org/list/econ.GN/new
[1/1]:
- The Precautionary Principle and the Innovation Principle: Incompatible Guides for AI Innovation G...
Kim Kaivanto

There’s a crisis in tech product innovation. From when I got into tech when I was maybe 8 or 9 in the late 80s to around 2010 or so there seemed to be something new and innovative—sometimes even world-changing—out at least once a year.
Now my iPad Pro is 7 years old, and I have literally no idea why I would want to upgrade it.
I don't even know other than "faster but you probably won't notice it" what the current iPad Pro has over the one from 2018.
Fwiw 7 years is the span of time between these two Apple products:

Targeted Test Selection Approach in Continuous Integration
Pavel Plyusnin, Aleksey Antonov, Vasilii Ermakov, Aleksandr Khaybriev, Margarita Kikot, Ilseyar Alimova, Stanislav Moiseev
https://arxiv.org/abs/2509.10279

Targeted Test Selection Approach in Continuous Integration
In modern software development change-based testing plays a crucial role. However, as codebases expand and test suites grow, efficiently managing the testing process becomes increasingly challenging, especially given the high frequency of daily code commits. We propose Targeted Test Selection (T-TS), a machine learning approach for industrial test selection. Our key innovation is a data representation that represent commits as Bags-of-Words of changed files, incorporates cross-file and addition…

It's great to see this innovation coming to life! The Recharge 100 🔌 DC fast charging network in 🇸🇪 Sweden (SE3 region) is awaiting final TSO approval to deliver Frequency Control Ancillary Services (FCR) to help balance the grid!
https://www.linked…

#virtualpowerplant #evcharging #flexibility #gridintegration #energytransition #flexecharge #recharge | FLEXECHARGE | 26 comments
🌍🔌 BIG NEWS: announcing the first-ever large-scale Virtual Power Plant project on DC-chargers! ⚡ ⚡ ⚡ We’re excited to welcome Recharge, the largest rapid charging network in the Nordics, as our customer! Together with Fever (BSP partner), we’ve deployed the first Virtual Power Plant (VPP) on public DC fast chargers in 🇸🇪 Sweden’s SE3 region. Nearly 100 high-power chargers across 60+ sites are now aggregated to: ⚡ Keep drivers powered up without disruption ⚡ Provi…

LOOPerSet: A Large-Scale Dataset for Data-Driven Polyhedral Compiler Optimization
Massinissa Merouani, Afif Boudaoud, Riyadh Baghdadi
https://arxiv.org/abs/2510.10209 https://…

LOOPerSet: A Large-Scale Dataset for Data-Driven Polyhedral Compiler Optimization
The advancement of machine learning for compiler optimization, particularly within the polyhedral model, is constrained by the scarcity of large-scale, public performance datasets. This data bottleneck forces researchers to undertake costly data generation campaigns, slowing down innovation and hindering reproducible research learned code optimization. To address this gap, we introduce LOOPerSet, a new public dataset containing 28 million labeled data points derived from 220,000 unique, synthet…

Inside science labs trying to survive in the Trump era
Anastasia Khvorova is perched at the edge of a massive scientific opportunity.
Her laboratory at the University of Massachusetts Chan Medical School deploys cutting-edge RNA biology with one aim:
to cure diseases — the ones that rob people of their memories or endanger pregnant women.

Lately, she sees peril all around her.

In the hallway, she bumps into one world-class chemist, then another, whose salaries…

Inside science labs trying to survive in the Trump era
Anastasia Khvorova’s lab at U-Mass. Chan Medical School shows how quickly the administration is dismantling an 80-year partnership that made the U.S. a scientific superpower.

Great article about AI, innovation and comparing it with other innovation cycles.
"The way to invest in AI is to think through the implications of knowledge workers becoming more efficient, to imagine what markets this efficiency unlocks, and to invest in those. For decades, the way to make money was to bet on what the new thing was. Now, you have to bet on the opportunities it opens up."

AI Will Not Make You Rich
The disruption is real. It's also predictable.

Here’s what the “just let tech bros run everything” crowd fundamentally misunderstands about how innovation actually works: It requires exactly the kind of chaotic, unpredictable, open ecosystem that authoritarianism systematically destroys.
Real innovation happens when companies have to compete on merit, not on who can kiss the leader’s ass most effectively. In a functioning democracy with actual rule of law, the best products have the opportunity to win. In an authoritari…

Fascism For First Time Founders
Over the last year or so I’ve seen a disturbing tendency in tech/startup/VC worlds to buy into the neoreactionary view that for startups to be successful they need to get on board the Trump t…

Joel Mokyr, Philippe Aghion, and Peter Howitt win the Nobel Prize in Economics for their work on how innovation and technological progress helps economic growth (Eshe Nelson/New York Times)
https://www.nytimes.com/2025/10/13/business/nobel-prize-economics.html…

Joel Mokyr, Philippe Aghion and Peter Howitt Share Nobel in Economics
Joel Mokyr, Philippe Aghion and Peter Howitt won the prize for showing how “society must keep an eye on the factors that generate and sustain economic growth,” an award committee member said.

Mapping Innovation Networks: A Network-Based Approach to Actor Heterogeneity in National Innovation Systems
Dawoon Jeong, Taewon Kang, Saerom Si, Sangnam Lee, Wonsub Eum
https://arxiv.org/abs/2508.03498

Mapping Innovation Networks: A Network-Based Approach to Actor Heterogeneity in National Innovation Systems
The Triple Helix model has provided a foundational framework for analyzing National Innovation Systems by highlighting the roles of universities, industries, and government research institutes. However, increasing heterogeneity within these actor groups limits the explanatory power of typological approaches. This study introduces a capability-based network methodology that maps the structural relationships among innovation actors based on the similarity of their research and development (R&D) c…

LA port unveils wave energy site to power 60,000 homes, paving the way for clean energy innovation and sustainability. #climatechange #climatesolutions #climate

In Port of Los Angeles, Eco Wave Power taps ocean for clean energy
At the Port of Los Angeles on a site that once housed oil tanks, seven steel structures that look like small blue boats are lowered into the ocean, where they gently bob up and down with the waves to generate power. It's the first onshore wave energy site in the United States. Eco Wave Power installed its technology on an unused wharf where it will generate a small amount of electricity. The goal is to show it works well enough to build it out along 8 miles of breakwater to make enough power fo…

📣 The GÉANT Innovation Programme is back for 2025!
Funding of up to €50K is available to turn proofs of concept, pilots, or novel ideas into reality—together with the R&E community.
Past projects have shaped flagship services like #eduroam & eduVPN.
Key dates & information:
📅 Call opens: 1 October 2025
⏰ Deadline: 14 November 2025, 12:00 CET
🔗 Learn …

Minkowski-MambaNet: A Point Cloud Framework with Selective State Space Models for Forest Biomass Quantification
Jinxiang Tu, Dayong Ren, Fei Shi, Zhenhong Jia, Yahong Ren, Jiwei Qin, Fang He
https://arxiv.org/abs/2510.09367

Minkowski-MambaNet: A Point Cloud Framework with Selective State Space Models for Forest Biomass Quantification
Accurate forest biomass quantification is vital for carbon cycle monitoring. While airborne LiDAR excels at capturing 3D forest structure, directly estimating woody volume and Aboveground Biomass (AGB) from point clouds is challenging due to difficulties in modeling long-range dependencies needed to distinguish trees.We propose Minkowski-MambaNet, a novel deep learning framework that directly estimates volume and AGB from raw LiDAR. Its key innovation is integrating the Mamba model's Selective …

Salesforce plans to invest $15B in San Francisco over the next five years, including funding an AI Incubator Hub and workforce programs; CRM is down 25% in 2025 (Connor Hart/Wall Street Journal)
https://www.w…

From scratch to silver: Creating trustworthy training data for patent-SDG classification using Large Language Models
Grazia Sveva Ascione, Nicol\`o Tamagnone
https://arxiv.org/abs/2509.09303

From scratch to silver: Creating trustworthy training data for patent-SDG classification using Large Language Models
Classifying patents by their relevance to the UN Sustainable Development Goals (SDGs) is crucial for tracking how innovation addresses global challenges. However, the absence of a large, labeled dataset limits the use of supervised learning. Existing methods, such as keyword searches, transfer learning, and citation-based heuristics, lack scalability and generalizability. This paper frames patent-to-SDG classification as a weak supervision problem, using citations from patents to SDG-tagged sci…

Digital Innovation in Microenterprises: Current Trends and New Research Avenues
Juan E. G\'omez-Morantes (Pontificia Universidad Javeriana), Andrea Herrera (Universidad de los Andes), Sonia Camacho (Universidad de los Andes)
https://arxiv.org/abs/2510.07519

Digital Innovation in Microenterprises: Current Trends and New Research Avenues
The relationship between microenterprises and information and communication technologies (ICTs) has always been troublesome. Because of the rapid pace of modern digital technologies, digital innovation processes are permeating the industries, markets, and social contexts in which microenterprises exist today. However, microenterprises have severe difficulties engaging or performing in these digital contexts and are at risk of being left behind. This paper reviews the literature on ICTs and micr…

"Hearing car" detects sounds for safer driving - AI and microphones are helping vehicles detect unseen hazards https://spectrum.ieee.org/fraunhofer-hearing-car-microphone "With EV adoption rising, automakers began to see why ears mattered as much as eyes.&quot…

Car Microphone Enhances Autonomous Vehicle Safety
What happens when a car can hear as well as see? Dive into the world of multisensory vehicles with Fraunhofer's latest innovation.

Controlled Personalization in Legacy Media Online Services: A Case Study in News Recommendation
Marlene Holzleitner, Stephan Leitner, Hanna Lind Jorgensen, Christoph Schmitz, Jacob Welander, Dietmar Jannach
https://arxiv.org/abs/2510.09136

Controlled Personalization in Legacy Media Online Services: A Case Study in News Recommendation
Personalized news recommendations have become a standard feature of large news aggregation services, optimizing user engagement through automated content selection. In contrast, legacy news media often approach personalization cautiously, striving to balance technological innovation with core editorial values. As a result, online platforms of traditional news outlets typically combine editorially curated content with algorithmically selected articles - a strategy we term controlled personalizat…

Predictive Control Strategies for Sustaining Innovation Adoption on Multilayer Social Networks
Martina Alutto, Qiulin Xu, Fabrizio Dabbene, Hideaki Ishii, Chiara Ravazzi
https://arxiv.org/abs/2509.01457

Predictive Control Strategies for Sustaining Innovation Adoption on Multilayer Social Networks
This paper studies an optimal control problem for an adoption-opinion model that couples innovation adoption with opinion formation on a multilayer network. Adoption spreads through social contagion and perceived benefits, while opinions evolve via social interactions and feedback from adoption levels. Individuals may abandon adoption due to dissatisfaction or external constraints, potentially hindering diffusion. We analyze system equilibria and their stability, identifying conditions under wh…

Open Science, Open Innovation? The Role of Open Access in Patenting Activity
Abdelghani Maddi (GEMASS), Ahmad Yaman Abdin, Francesco Fdp de Pretis
https://arxiv.org/abs/2508.00829

Open Science, Open Innovation? The Role of Open Access in Patenting Activity
Scientific knowledge is a key driver of technological innovation, shaping industrial development and policy decisions worldwide. Understanding how patents incorporate scientific research is essential for assessing the role of academic discoveries in technological progress. Non-Patent References (NPRs) provide a useful indicator of this relationship by revealing the extent to which patents draw upon scientific literature. Here, we show that reliance on scientific research in patents varies signi…

Localist LLMs -- A Mathematical Framework for Dynamic Locality Control
Joachim Diederich
https://arxiv.org/abs/2510.09338 https://arxiv.org/pdf/2510.09338

Localist LLMs -- A Mathematical Framework for Dynamic Locality Control
We present a novel framework for training large language models with continuously adjustable internal representations that span the full spectrum from localist (interpretable, rule-based) to distributed (generalizable, efficient) encodings. The key innovation is a locality dial, a tunable parameter that dynamically controls the degree of localization during both training and inference without requiring model retraining. This is achieved through group sparsity penalties on attention mechanisms, …

The anatomy of Green AI technologies: structure, evolution, and impact
Lorenzo Emer, Andrea Mina, Andrea Vandin
https://arxiv.org/abs/2509.10109 https://ar…

The anatomy of Green AI technologies: structure, evolution, and impact
Artificial intelligence (AI) is a key enabler of innovation against climate change. In this study, we investigate the intersection of AI and climate adaptation and mitigation technologies through patent analyses of a novel dataset of approximately 63 000 Green AI patents. We analyze patenting trends, corporate ownership of the technology, the geographical distributions of patents, their impact on follow-on inventions and their market value. We use topic modeling (BERTopic) to identify 16 major …

#CFP: 2026 Conference: Religion, Technology, and Innovation
https://ift.tt/Fb0Dt78
2026 Call for Papers
via Input 4 RELCFP

#CFP: 2026 Conference: Religion, Technology, and Innovation
2026 Call for Papers

Exploring the conditions for sustainability with open-ended innovation
Debora Princepe, Cristobal Qui\~ninao, Cristina D\'iaz Faloh, Pablo A. Marquet, Matteo Marsili
https://arxiv.org/abs/2510.01085

Exploring the conditions for sustainability with open-ended innovation
Can sustained open-ended technological progress preserve natural resources in a finite planet? We address this question on the basis of a stylized model with genuine open-ended technological innovation, where an innovation event corresponds to a random draw of a technology in the space of the parameters that define how it impacts the environment and how it interacts with the population. Technological innovation is endogenous because an innovation may invade if it satisfies constraints which dep…

Übrigens: seit gestern bin ich zur Qualitässicherung und internen Beratung in einem mit @… organisierten Planungsprojekt und ich muss sagen, ich fühle Vorfreude auf alles Neue mit europäischer und offener Innovation.
Und auch die strategische Situation mit der Erfahrung ein Stück weit unabhängiger von Trump und seiner BigTech zu werden, macht Freude. …

A Humanoid Social Robot as a Teaching Assistant in the Classroom
Thomas Sievers
https://arxiv.org/abs/2508.05646 https://arxiv.org/pdf/2508.05646

A Humanoid Social Robot as a Teaching Assistant in the Classroom
Although innovation and the support of new technologies are much needed to ease the burden on the education system, social robots in schools to help teachers with educational tasks are rare. Child-Robot Interaction (CRI) could support teachers and add an embodied social component to modern multi-modal and multi-sensory learning environments already in use. The social robot Pepper, connected to the Large Language Model (LLM) ChatGPT, was used in a high school classroom to teach new learning cont…

Gradient- and Newton-Based Unit Vector Extremum Seeking Control
Roberto Luo, Victor Hugo Pereira Rodrigues, Tiago Roux Oliveira, Miroslav Krstic
https://arxiv.org/abs/2508.08485

Gradient- and Newton-Based Unit Vector Extremum Seeking Control
This paper presents novel methods for achieving stable and efficient convergence in multivariable extremum seeking control (ESC) using sliding mode techniques. Drawing inspiration from both classical sliding mode control and more recent developments in finite-time and fixed-time control, we propose a new framework that integrates these concepts into Gradient- and Newton-based ESC schemes based on sinusoidal perturbation signals. The key innovation lies in the use of discontinuous "relay-type" c…

GitHub Marketplace: Driving Automation and Fostering Innovation in Software Development
SK. Golam Saroar, Waseefa Ahmed, Elmira Onagh, Maleknaz Nayebi
https://arxiv.org/abs/2508.01489

GitHub Marketplace: Driving Automation and Fostering Innovation in Software Development
GitHub, a central hub for collaborative software development, has revolutionized the open-source software (OSS) ecosystem through its GitHub Marketplace, a platform launched in 2017 to host automation tools aimed at enhancing the efficiency and scalability of software projects. As the adoption of automation in OSS production grows, understanding the trends, characteristics, and underlying dynamics of this marketplace has become vital. Furthermore, despite the rich repository of academic researc…

Patents as Knowledge Artifacts: An Information Science Perspective on Global Innovation
M. S. Rajeevan, B. Mini Devi
https://arxiv.org/abs/2508.00871 https://

Patents as Knowledge Artifacts: An Information Science Perspective on Global Innovation
In an age of fast-paced technological change, patents have evolved into not only legal mechanisms of intellectual property, but also structured storage containers of knowledge full of metadata, categories, and formal innovation. This chapter proposes to reframe patents in the context of information science, by focusing on patents as knowledge artifacts, and by seeing patents as fundamentally tied to the global movement of scientific and technological knowledge. With a focus on three areas, the …

Sources: Doug Beck, director of Pentagon's Defense Innovation Unit, resigns; DOD officials had previously raised concerns about his donations to Democrats (Reuters)
https://www.reuters.com/world/us/pentagons-innovation-unit…

#CFP: 2026 Conference: Religion, Technology, and Innovation
https://ift.tt/CKcRkXA
2026 Call for Papers
via Input 4 RELCFP

#CFP: 2026 Conference: Religion, Technology, and Innovation
2026 Call for Papers

Anti-Money Laundering Machine Learning Pipelines; A Technical Analysis on Identifying High-risk Bank Clients with Supervised Learning
Khashayar Namdar, Pin-Chien Wang, Tushar Raju, Steven Zheng, Fiona Li, Safwat Tahmin Khan
https://arxiv.org/abs/2509.09127

Anti-Money Laundering Machine Learning Pipelines; A Technical Analysis on Identifying High-risk Bank Clients with Supervised Learning
Anti-money laundering (AML) actions and measurements are among the priorities of financial institutions, for which machine learning (ML) has shown to have a high potential. In this paper, we propose a comprehensive and systematic approach for developing ML pipelines to identify high-risk bank clients in a dataset curated for Task 1 of the University of Toronto 2023-2024 Institute for Management and Innovation (IMI) Big Data and Artificial Intelligence Competition. The dataset included 195,789 c…

Hybrid Galam--Bass Model for Technology Innovation
Giulia Rotundo, Roy Cerqueti, Gurjeet Dhesi, Claudiu Herteliu, Parmjit Kaur, Marcel Ausloos
https://arxiv.org/abs/2509.07275 h…

Hybrid Galam--Bass Model for Technology Innovation
This work proposes a hybrid model that combines the Galam model of opinion dynamics with the Bass diffusion model used in technology adoption on Barabasi-Albert complex networks. The main idea is to advance a version of the Bass model that can suitably describe an opinion formation context while introducing irreversible transitions from group B (opponents) to group A (supporters). Moreover, we extend the model to take into account the presence of a charismatic competitor, which fosters conversi…

On the false election between regulation and innovation. Ideas for regulation through the responsible use of artificial intelligence in research and education.[Spanish version]
Pompeu Casanovas (IIIA-CSIC)
https://arxiv.org/abs/2510.07268

On the false election between regulation and innovation. Ideas for regulation through the responsible use of artificial intelligence in research and education.[Spanish version]
This short essay is a reworking of the answers offered by the author at the Debate Session of the AIHUB (CSIC) and EduCaixa Summer School, organized by Marta Garcia-Matos and Lissette Lemus, and coordinated by Albert Sabater (OEIAC, UG), with the participation of Vanina Martinez-Posse (IIIA-CSIC), Eulalia Soler (Eurecat) and Pompeu Casanovas (IIIA-CSIC) on July 4th 2025. Albert Sabater posed three questions: (1) How can regulatory frameworks priori-tise the protection of fundamental rights (pri…

An interview with Alex Kachkine, who shook the art world in June with a research paper in Nature on restoring paintings using AI, as he works to refine the tech (Ephrat Livni/New York Times)
https://www.nytimes.com/2025/08/…

The Hobbyist Restorer Who Rocked the Art World With an A.I. Innovation
Alex Kachkine spends his days working on microchip research — a skill set surprisingly similar to that needed for restoration.

Artificial Intelligence, Domain AI Readiness, and Firm Productivity
Sipeng Zeng, Xiaoning Wang, Tianshu Sun
https://arxiv.org/abs/2508.09634 https://arxiv.…

Artificial Intelligence, Domain AI Readiness, and Firm Productivity
Although Artificial Intelligence (AI) holds great promise for enhancing innovation and productivity, many firms struggle to realize its benefits. We investigate why some firms and industries succeed with AI while others do not, focusing on the degree to which an industrial domain is technologically integrated with AI, which we term "domain AI readiness". Using panel data on Chinese listed firms from 2016 to 2022, we examine how the interaction between firm-level AI capabilities and domain AI re…

Student Development Agent: Risk-free Simulation for Evaluating AIED Innovations
Jianxiao Jiang, Yu Zhang
https://arxiv.org/abs/2510.09183 https://arxiv.org…

Student Development Agent: Risk-free Simulation for Evaluating AIED Innovations
In the age of AI-powered educational (AIED) innovation, evaluating the developmental consequences of novel designs before they are exposed to students has become both essential and challenging. Since such interventions may carry irreversible effects, it is critical to anticipate not only potential benefits but also possible harms. This study proposes a student development agent framework based on large language models (LLMs), designed to simulate how students with diverse characteristics may ev…

#CFP: 2026 Conference: Religion, Technology, and Innovation
https://ift.tt/0nSqAsT
2026 Call for Papers
via Input 4 RELCFP

#CFP: 2026 Conference: Religion, Technology, and Innovation
2026 Call for Papers

Y Combinator filed an amicus brief in support of Epic Games in their antitrust lawsuit against Apple, calling App Store fees "a punitive tax on innovation" (Marcus Mendes/9to5Mac)
https://9to5mac.com/2025/08/21/y-combi…

Y Combinator backs Epic in Apple appeal - 9to5Mac
Startup accelerator (and Epic Games’ biggest investor) Y Combinator filed an amicus brief today siding with Epic in the long-running antitrust case against Apple.

Challenges in designing ethical rules for Infrastructures in Internet of Vehicles
Razi Iqbal
https://arxiv.org/abs/2510.09374 https://arxiv.org/pdf/2510.09…

Challenges in designing ethical rules for Infrastructures in Internet of Vehicles
Vehicular Ad-hoc Networks (VANETs) have seen significant advancements in technology. Innovation in connectivity and communication has brought substantial capabilities to various components of VANETs such as vehicles, infrastructures, passengers, drivers and affiliated environmental sensors. Internet of Things (IoT) has brought the notion of Internet of Vehicles (IoV) to VANETs where each component of VANET is connected directly or indirectly to the Internet. Vehicles and infrastructures are key…

Principles for Environmental Justice in Technology: Toward a Regenerative Future
Sanjana Paul
https://arxiv.org/abs/2508.09007 https://arxiv.org/pdf/2508.0…

Principles for Environmental Justice in Technology: Toward a Regenerative Future
This paper introduces the Environmental Justice in Technology (EJIT) Principles, a framework to help reorient technological development toward social and ecological justice and collective flourishing. In response to prevailing models of technological innovation that prioritize speed, scale, and profit while neglecting systemic injustice, the EJIT principles offer an alternative: a set of guiding values that foreground interdependence, repair, and community self-determination. Drawing inspiratio…

Operationalising AI Regulatory Sandboxes under the EU AI Act: The Triple Challenge of Capacity, Coordination and Attractiveness to Providers
Deirdre Ahern
https://arxiv.org/abs/2509.05985

Operationalising AI Regulatory Sandboxes under the EU AI Act: The Triple Challenge of Capacity, Coordination and Attractiveness to Providers
The EU AI Act provides a rulebook for all AI systems being put on the market or into service in the European Union. This article investigates the requirement under the AI Act that Member States establish national AI regulatory sandboxes for testing and validation of innovative AI systems under regulatory supervision to assist with fostering innovation and complying with regulatory requirements. Against the backdrop of the EU objective that AI regulatory sandboxes would both foster innovation an…

How researchers at Microsoft, IBM, and other organizations are using AI to speed up the search for new materials and chemicals for batteries (Andrew Moseman/IEEE Spectrum)
https://spectrum.ieee.org/ai-battery-material

AI Drives Battery Innovation at Microsoft, IBM
What if AI could find the perfect battery material in hours, not years? Discover the latest advancements.

Hugging Face CEO Clément Delangue says open-source AI is vital for US innovation and the US risks losing the AI race to China if it falls behind in open source (Clément Delangue/VentureBeat)
https://venturebeat.com/ai/why-open-source-ai-became-an-american-…

Why open-source AI became an American national priority
To reflect democratic principles, AI must be built in the open. If the U.S. wants to lead the AI race, it must lead the open-source AI race.

Enhancing Systematic Interoperability: Convergences and Mismatches between Web 3.0 and the EU Data Act
Linyi Xu, Zihao Li
https://arxiv.org/abs/2508.07356 https://

Enhancing Systematic Interoperability: Convergences and Mismatches between Web 3.0 and the EU Data Act
Interoperability is increasingly recognised as a foundational principle for fostering innovation, competition, and user autonomy in the evolving digital ecosystem. Existing research on interoperability predominantly focuses either on technological interoperability itself or on the legal regulations concerning interoperability, with insufficient exploration of their interdisciplinary intersection. This paper compares the technological interoperability in Web 3.0 with the theoretical framework of…