Tootfinder

Arm launches four Lumex compute subsystem CPU architectures to improve on-device AI on smartphones, PCs, and wearables, and unveils the new Mali G1-Ultra GPU (Ben Funk/HotHardware)
https://hothardware.com/news/arm-lumex-compute-subsystem-on-device-ai

Arm Unveils Lumex Compute Subsystem For Powerful, Efficient On-Device AI
Arm's new Lumex compute subsystem brings a big boost to on-device AI, graphics, and general compute tasks to flagship smartphones

Device-to-Device Communication in 5G/6G: Architectural Foundations and Convergence with Enabling Technologies
Mohammad Reza Fasihi, Brian L. Mark
https://arxiv.org/abs/2507.06946 …

Device-to-Device Communication in 5G/6G: Architectural Foundations and Convergence with Enabling Technologies
Device-to-Device (D2D) communication is a promising solution to meet the growing demands of 5G and future 6G networks by enabling direct communication between user devices. It enhances spectral efficiency (SE) and energy efficiency (EE), reduces latency, and supports proximity-based services. As wireless systems evolve toward 5G and 6G paradigms, the integration of D2D with advanced cellular technologies introduces new opportunities and challenges. This survey paper reviews the architectural fo…

AttestLLM: Efficient Attestation Framework for Billion-scale On-device LLMs
Ruisi Zhang, Yifei Zhao, Neusha Javidnia, Mengxin Zheng, Farinaz Koushanfar
https://arxiv.org/abs/2509.06326

AttestLLM: Efficient Attestation Framework for Billion-scale On-device LLMs
As on-device LLMs(e.g., Apple on-device Intelligence) are widely adopted to reduce network dependency, improve privacy, and enhance responsiveness, verifying the legitimacy of models running on local devices becomes critical. Existing attestation techniques are not suitable for billion-parameter Large Language Models (LLMs), struggling to remain both time- and memory-efficient while addressing emerging threats in the LLM era. In this paper, we present AttestLLM, the first-of-its-kind attestatio…

“UK’s ‘largest’ on-street EV charger project installs first device
[..]
Installing street chargers near homes will reduce the need for people to drive to a charging station, and enable more motorists to take advantage of cheaper overnight electricity rates.”
https://www.

UK’s ‘largest’ on-street EV charger project installs first device
Chargepoint operator char.gy said it has started fitting more than 6,000 kerbside chargers for Brighton and Hove City Council.

Characterizing and Optimizing Realistic Workloads on a Commercial Compute-in-SRAM Device
Niansong Zhang, Wenbo Zhu, Courtney Golden, Dan Ilan, Hongzheng Chen, Christopher Batten, Zhiru Zhang
https://arxiv.org/abs/2509.05451

Characterizing and Optimizing Realistic Workloads on a Commercial Compute-in-SRAM Device
Compute-in-SRAM architectures offer a promising approach to achieving higher performance and energy efficiency across a range of data-intensive applications. However, prior evaluations have largely relied on simulators or small prototypes, limiting the understanding of their real-world potential. In this work, we present a comprehensive performance and energy characterization of a commercial compute-in-SRAM device, the GSI APU, under realistic workloads. We compare the GSI APU against establish…

hey does anybody have any device with a Renesas M16C CPU?

"We didn't include a printed manual because everything you need to know about this device can be found at this dead link."

CHORD: Customizing Hybrid-precision On-device Model for Sequential Recommendation with Device-cloud Collaboration
Tianqi Liu, Kairui Fu, Shengyu Zhang, Wenyan Fan, Zhaocheng Du, Jieming Zhu, Fan Wu, Fei Wu
https://arxiv.org/abs/2510.03038

CHORD: Customizing Hybrid-precision On-device Model for Sequential Recommendation with Device-cloud Collaboration
With the advancement of mobile device capabilities, deploying reranking models directly on devices has become feasible, enabling real-time contextual recommendations. When migrating models from cloud to devices, resource heterogeneity inevitably necessitates model compression. Recent quantization methods show promise for efficient deployment, yet they overlook device-specific user interests, resulting in compromised recommendation accuracy. While on-device finetuning captures personalized user …

#PSA #feditips It seems that Nepal has blocked access to (some?) Mastodon sites.
With domain fronting the blocking of many fediverse sites can be circumvented.
This is based on the fact that many websites share the same IP number. Therefore a government blocking access to a website can in many cases only block the domain, but not the IP of the site, otnerwise many other websites would be blocked too.
By either configuring a proxy in the mastodon app or on the device or by usin…

#PSA #feditips It seems that Nepal has blocked access to (some?) Mastodon sites.
With domain fronting the blocking of many fediverse sites can be circumvented.
This is based on the fact that many websites share the same IP number. Therefore a government blocking access to a website can in many cases only block the domain, but not the IP of the site, otnerwise many other websites would be blocked too.
By either configuring a proxy in the mastodon app or on the device or by usin…

“Start ‘vibe testing’ your website on budget devices.”
@…, delivering for performance at #smashingconf 💯💯💯💯

Quantum Error Mitigation by Global Randomized Error Cancellation for Adiabatic Evolution in the Schwinger Model
Oleg Kaikov, Theo Saporiti, Vasily Sazonov, Mohamed Tamaazousti
https://arxiv.org/abs/2507.06601

Quantum Error Mitigation by Global Randomized Error Cancellation for Adiabatic Evolution in the Schwinger Model
We extend the global randomized error cancellation (GREC) method for quantum error mitigation (QEM) in an application to adiabatic evolution of states on a noisy quantum device. We apply the adiabatic GREC method to the evolution of eigenstates in the lattice Schwinger model on a simulated quantum device with custom noise. Our results suggest that the corresponding QEM learned in one parameter regime of the model successfully transfers to a different parameter regime. In particular, our finding…

Yesterday, I ran a firmware update on Linux: "sudo #fwupdmgt update” which showed an intel ME update I ran.
Device: Lenovo #T490.
Since then, I can't boot my #Linux (

Cross-device Zero-shot Label Transfer via Alignment of Time Series Foundation Model Embeddings
Neal G. Ravindra, Arijit Sehanobish
https://arxiv.org/abs/2509.06966 https://

Cross-device Zero-shot Label Transfer via Alignment of Time Series Foundation Model Embeddings
High-quality, medically validated labels exist for clinical actigraphy data but not for ubiquitous consumer wearables like the Apple Watch. Manually labeling wearables data is expensive and doesn't scale. This paper offers a novel framework that transfers valuable labels from a source domain (e.g., actigraphy) to a target domain (e.g., Apple Watch) without requiring paired data. Instead of working with raw time-series signals, we project both domains into a shared latent embedding space using t…

Cleaning up my lab after removing a piece of client hardware from a $dayjob project.
Durng that project I was using *every single one* of the 12 RJ45 gig-e drops on the west wall of my lab:
* Siglent load
* MultiLane BERT
* 4 GHz LeCroy scope
* R&S DMM
* R&S PSU
* Work laptop on sandbox vlan
* 2x Siglent AWG for ThunderScope testing
* Windows laptop for ThunderScope testing
* Siglent PSU on bench with client device
* Two NICs on…

Digital Minimalism: Using One Device for Everything
https://theprivacydad.com/digital-minimalism-using-a-single-device-for-everything/
Using a smartphone for everything is technically a form of digital minimalism, but its constant physical …

NVMe RAID controllers… I'm skeptical
The selling points here appear to be:
- Each device still has its own channel so you're not trying to hang 4 NVMe off one slot
- The processor on the card can still do the parity
Personally I'm not that interested in parity RAID on NVMe. Either it's mirrors or I'm wanting to use something more advanced like ZFS or Ceph or whatever which pretty much requires JBOD.
Personally I'm more concerned about havin…

Deterministic algorithms for inhomogeneous Bernoulli trials: Shapley value of network devices
Jesse D Wei, Guo Wei
https://arxiv.org/abs/2510.07572 https://

Deterministic algorithms for inhomogeneous Bernoulli trials: Shapley value of network devices
Suppose that $n$ computer devices are to be connected to a network via inhomogeneous Bernoulli trials. The Shapley value of a device quantifies how much the network's value increases due to the participation of that device. Characteristic functions of such games are naturally taken as the belief function (containment function) and Choquet capacity (hitting probability) of a random set (random network of devices). Traditionally, the Shapley value is either calculated as the expected marginal c…

🫨 Self-tuning energy device turns vibrations into power
#energy

Self-tuning energy device turns vibrations into power
Researchers at National Taiwan University developed a new device that captures energy from vibrations more efficiently. Its self-adjusting mechanism enables resonance with environmental frequencies, resulting in higher power output across a broader operational range.

Regulation of droplet size and flow regime by geometrical confinement in a microfluidic flow-focusing device
Somasekhara Goud Sontti, Arnab Atta
https://arxiv.org/abs/2510.06893

Regulation of droplet size and flow regime by geometrical confinement in a microfluidic flow-focusing device
We have developed a coupled level set and volume of fluid-based computational fluid dynamics model to analyze the droplet formation mechanism in a square flow-focusing microchannel. We demonstrate a flexible manipulation of droplet formation and flow regime based on the modified flow-focusing microchannel with a constricted orifice. Furthermore, we have systematically studied the influence of geometrical confinement, flow rate, and interfacial tension on the droplet formation regime, length, vo…

Implementation and Application of Multi-Format 3D Data Integration in a Cross-Device Commercial Metaverse Platform
Masanori Ibara, Yuichi Hiroi, Takushi Kamegai, Takefumi Hiraki
https://arxiv.org/abs/2508.05332

Implementation and Application of Multi-Format 3D Data Integration in a Cross-Device Commercial Metaverse Platform
Traditionally, specialized 3D design data, such as BIM and CAD, have been accessible only to a select group of experts, creating significant barriers that prevent general users from participating in decision-making processes. This paper provides a systematic overview of practical insights for utilizing 3D data in industrial and architectural domains by presenting implementation cases of the industrial metaverse on Cluster, a commercial cross-device metaverse platform. This paper analyzes the ch…

I listen to radio via streaming via scripts that run ffplay on the various URLs. Recently several stations have started playing adverts at the start, unless you've connected recently. I'm trying to see if wget-ing 45 secs of these URLs at the start of the session will avoid this.
Main reason: when I turn on the device, I channel hop to see what I want to listen to. If I have to wait a minute to see what they're playing, I pass on to another station.
This'll take…

WatchHAR: Real-time On-device Human Activity Recognition System for Smartwatches
Taeyoung Yeon, Vasco Xu, Henry Hoffmann, Karan Ahuja
https://arxiv.org/abs/2509.04736 https://…

WatchHAR: Real-time On-device Human Activity Recognition System for Smartwatches
Despite advances in practical and multimodal fine-grained Human Activity Recognition (HAR), a system that runs entirely on smartwatches in unconstrained environments remains elusive. We present WatchHAR, an audio and inertial-based HAR system that operates fully on smartwatches, addressing privacy and latency issues associated with external data processing. By optimizing each component of the pipeline, WatchHAR achieves compounding performance gains. We introduce a novel architecture that unifi…

A mother-machine microfluidic device for non-adherent mammalian cells reveals the population growth strategies
Simone Scalise, Giovanna Peruzzi, Davide Caprini, Giorgio Gosti, Giancarlo Ruocco, Mattia Miotto
https://arxiv.org/abs/2509.06113

A mother-machine microfluidic device for non-adherent mammalian cells reveals the population growth strategies
We develop a mother machine-like microfluidic device specifically designed to track the proliferation of T-cells via live-cell microscopy. Although numerous microfluidic setups have been developed to study cell proliferation at the single-cell level, most of them are optimized for use on adherent cells. Here, we present a device to track the proliferation of suspension cells, featuring an array of microchannels that trap cells, easing their monitoring while allowing for controlled growth condit…

@… "rcd Power User"
Do you really mean that RCD
https://en.wikipedia.org/wiki/Residual-current_device?wprov=sfla1…

Residual-current device - Wikipedia

Series A, Episode 09 - Project Avalon
BLAKE: That's what I mean.
JENNA: Weapons are still in the racks.
BLAKE: They probably tried to surrender.
JENNA: Let's get out of here, Blake.
https://blake.torpidity.net/m/109/70 B7B2

> The encryption algorithm used for the device they examined starts with a 128-bit key, but this gets compressed to 56 bits before it encrypts traffic, making it easier to crack.
The classic approach for large key sizes.
https://arstechnica.com/secur…

Encryption made for police and military radios may be easily cracked
An encryption algorithm can have weaknesses that could allow an attacker to listen in.

VeriOS: Query-Driven Proactive Human-Agent-GUI Interaction for Trustworthy OS Agents
Zheng Wu, Heyuan Huang, Xingyu Lou, Xiangmou Qu, Pengzhou Cheng, Zongru Wu, Weiwen Liu, Weinan Zhang, Jun Wang, Zhaoxiang Wang, Zhuosheng Zhang
https://arxiv.org/abs/2509.07553

VeriOS: Query-Driven Proactive Human-Agent-GUI Interaction for Trustworthy OS Agents
With the rapid progress of multimodal large language models, operating system (OS) agents become increasingly capable of automating tasks through on-device graphical user interfaces (GUIs). However, most existing OS agents are designed for idealized settings, whereas real-world environments often present untrustworthy conditions. To mitigate risks of over-execution in such scenarios, we propose a query-driven human-agent-GUI interaction framework that enables OS agents to decide when to query h…

Aww... It's an itty bitty pillow!

Scanned SQUID Microscope with High-speed Electrical Connectivity
Ian W. Haygood, Bochao Xu, John Biesecker, Michael L. Schneider
https://arxiv.org/abs/2509.07137 https://…

Scanned SQUID Microscope with High-speed Electrical Connectivity
We report on a scanned superconducting quantum interference device (SQUID) microscope operating in a cryogen-free cryostat, with the capability of up to forty RF connections with 20 GHz bandwidth to a device under test. The system utilizes planar gradiometric DC SQUIDs, which are fully shielded except for a pair of pickup coils with radii as small as 250 nm and have on chip field coils allowing for susceptometry. The system noise is 1.3 $μΦ_{0}/\sqrt{Hz}$ at the base temperature of 3.3 K. The…

At OpenAI's DevDay, Sam Altman and Jony Ive spoke in vague terms about the "family of devices" currently under development; Altman says "it will take a while" (Wired)
https://www.wired.com/story/sam-altman-and-jony-ives-ai-device-dev-day/

Jony Ive Says He Wants His OpenAI Devices to ‘Make Us Happy’
“I don’t think we have an easy relationship with our technology at the moment,” the former Apple designer said at OpenAI’s developer conference in San Francisco on Monday.

Do you have any projects that have stalled out? Could you use some prompts to help break them down into smaller pieces?
Now in TestFlight, OmniFocus 4.8 plug-ins can consult Apple's new on-device Foundation Models. These AI models are built into your device, so you’re not sending any data to any other systems, nor are you using any expensive outside resources—you’re just using more capabilities of the device that’s already at your fingertips.

Spin-transport characteristics in a Si-based spin metal-oxide-semiconductor field-effect transistor (spin MOSFET): Bias dependence of the spin polarization in Si and magnetoresistance in spin-valve signals
Shoichi Sato, Masaaki Tanaka, Ryosho Nakane
https://arxiv.org/abs/2509.05384

Spin-transport characteristics in a Si-based spin metal-oxide-semiconductor field-effect transistor (spin MOSFET): Bias dependence of the spin polarization in Si and magnetoresistance in spin-valve signals
We have studied the spin transport characteristics of a spin metal-oxide-semiconductor field-effect transistor (spin MOSFET), particularly the bias voltage dependence of the electron spin polarization P_S in Si and the magnetoresistance ratio MR in spin-valve signals, to optimize the device performance. The spin MOSFET device has an 8-nm-thick p-Si channel with a back gate (G) and ferromagnetic source / drain (S/D) junctions consisting of Fe/Mg/MgO/SiOx/n+-Si. In addition to transistor characte…

Waltz: Temperature-Aware Cooperative Compression for High-Performance Compression-Based CSDs
Dingcui Yu, Yunpeng Song, Yiyang Huang, Yumiao Zhao, Yina Lv, Chundong Wang, Youtao Zhang, Liang Shi
https://arxiv.org/abs/2509.05365

Waltz: Temperature-Aware Cooperative Compression for High-Performance Compression-Based CSDs
Data compression is widely adopted for modern solid-state drives (SSDs) to mitigate both storage capacity and SSD lifetime issues. Researchers have proposed compression schemes at different system layers, including device-side solutions like CCSDs ( c ompression-based c omputational SSDs) and compression supported by host-side, like F2FS (flash-friendly file system). We conduct quantitative studies to understand how host-side and device-side compression schemes affect the temperature and perfor…

veScale: Consistent and Efficient Tensor Programming with Eager-Mode SPMD
Youjie Li, Cheng Wan, Zhiqi Lin, Hongyu Zhu, Jiacheng Yang, Ziang Song, Xinyi Di, Jiawei Wu, Huiyao Shu, Wenlei Bao, Yanghua Peng, Haibin Lin, Li-Wen Chang
https://arxiv.org/abs/2509.07003

veScale: Consistent and Efficient Tensor Programming with Eager-Mode SPMD
Large Language Models (LLMs) have scaled rapidly in size and complexity, requiring increasingly intricate parallelism for distributed training, such as 3D parallelism. This sophistication motivates a shift toward simpler, more debuggable programming paradigm like Single Program Multiple Data (SPMD). However, SPMD in eager execution introduces two key challenges: ensuring consistency with single-device execution and achieving high performance at scale. In this paper, we introduce veScale, an eag…

Replaced article(s) found for cs.RO. https://arxiv.org/list/cs.RO/new
[2/2]:
- Ultra-Efficient On-Device Object Detection on AI-Integrated Smart Glasses with TinyissimoYOLO
Julian Moosmann, Pietro Bonazzi, Yawei Li, Sizhen Bian, Philipp Mayer, Luca Benini, Michele Magno

WTF, was there a market demand for this thing?
"It also listens to whatever you’re doing as you move through the world, no tap required, and offers a running commentary on the interactions you have throughout your day. To perform that trick, the device has microphones that are always activated."
https://www.

I Hate My AI Friend
The chatbot-enabled Friend necklace eavesdrops on your life and provides a running commentary that’s snarky and unhelpful. Worse, it can also make the people around you uneasy.

lm-Meter: Unveiling Runtime Inference Latency for On-Device Language Models
Haoxin Wang, Xiaolong Tu, Hongyu Ke, Huirong Chai, Dawei Chen, Kyungtae Han
https://arxiv.org/abs/2510.06126

lm-Meter: Unveiling Runtime Inference Latency for On-Device Language Models
Large Language Models (LLMs) are increasingly integrated into everyday applications, but their prevalent cloud-based deployment raises growing concerns around data privacy and long-term sustainability. Running LLMs locally on mobile and edge devices (on-device LLMs) offers the promise of enhanced privacy, reliability, and reduced communication costs. However, realizing this vision remains challenging due to substantial memory and compute demands, as well as limited visibility into performance-e…

“UK’s ‘largest’ on-street EV charger project installs first device
[..]
Installing street chargers near homes will reduce the need for people to drive to a charging station, and enable more motorists to take advantage of cheaper overnight electricity rates.”
https://www.

A Novel Coded Caching Scheme for Partially Cooperative Device-to-Device Networks
Rashid Ummer N. T., K. K. Krishnan Namboodiri, B. Sundar Rajan
https://arxiv.org/abs/2509.02532 …

A Novel Coded Caching Scheme for Partially Cooperative Device-to-Device Networks
Device-to-device (D2D) communication is one of the most promising techniques for future wireless cellular communication systems. This paper considers coded caching in a partially cooperative wireless D2D network, where only a subset of users transmit during delivery, while all users request files. The non-transmitting users are referred to as selfish users. All existing schemes that do not require knowledge of the identity of selfish users before content placement are limited to the high-memory…

Satellite Direct-to-Device from Low Earth Orbit: Techno-Economic Analysis of a Global Non-Terrestrial Network
Adnan Aijaz, Peizheng Li, Sajida Gufran
https://arxiv.org/abs/2510.04651

Satellite Direct-to-Device from Low Earth Orbit: Techno-Economic Analysis of a Global Non-Terrestrial Network
Low Earth orbit (LEO) satellites and satellite direct-to-device (D2D) technology are at the heart of the next-generation global connectivity which promises direct access to space-based broadband services for unmodified 3GPP-compliant handsets. With a rapidly evolving ecosystem, it is important to evaluate the feasibility, cost-effectiveness, and profitability of these services. By assessing the technological aspects as well as economic implications, stakeholders can make informed decisions abou…

NEEEEEEEEE 😢
Nova Launcher is shutting down after over a decade
https://9to5google.com/2025/09/08/nova-launcher-shutting-down/

That's what the Journal Impact Factor always has been: a marketing device, not a quality ranking.
https://biologists.social/@Co_Biologists/114992347348645009

@Co_Biologists (@Co_Biologists@biologists.social)
Attached: 1 image Based on the 2025 Clarivate Journal Citation Reports, we are delighted to announce that Journal of Experimental Biology is now the 12th highest ranking journal in the field of zoology, placing JEB in the top quarter (Q1) of all zoology journals🔁

This morning I was pissed to discover the manufacturer of my cleaning robot went bankrupt, shut down their cloud services and rendered their mobile app unusable, nearly bricking the whole device.
Fortunately there's another app that still does the job.
God dammit tho, why can't we have nice offline-first things any more.

More on CBP treatment of Canadians at the US border, this time with CBP’s own statistics, which are interesting: https://www.cbc.ca/news/canada/windsor/us-canada-device-searches-1.7619944?cmp=rss

Surge in U.S. customs searches of electronic devices raises concerns about harsh treatment of Canadians | CBC News
U.S. Customs and Border Protection (CBP) reports a sharp rise in electronic device searches at crossings, raising concerns about privacy, discrimination and harsher scrutiny of Canadians. "There's a lot of fear going into the United States," a Toronto-based immigration lawyer says.

Broadband Simultaneous Beam Steering and Compressing Device Based on Subwavelength Protrusion Metallic Tunnels
Dongguo Zhang, Fei Sun, Qin Liao, Yichao Liu, Donguk Nam
https://arxiv.org/abs/2509.04856 …

Broadband Simultaneous Beam Steering and Compressing Device Based on Subwavelength Protrusion Metallic Tunnels
Beam steering and beamwidth compressing play a role in steering the beam and narrowing its half-power beamwidth, respectively, which are both widely applied in extending the effective operational range of 6G communications, IoT devices, and antenna systems. However, research on wave manipulation devices capable of simultaneously achieving both functionalities remains limited, despite their great potential for system miniaturization and functional integration. In this study, we design and realiz…

I love arguing with a dude who is telling me the device I sell can be found for 1/8th the price, twice now, with no links or other info to back up his claim.
I'm really close to the 2.6x cost of goods with a little extra to cover shipping materials, support, and custom programming that is offered...
And if so, why doesn't he just buy the competitor's product instead of bugging me?

⚡ Under-the-skin electrode allows for real-world epilepsy tracking
#brain

Under-the-skin electrode allows for real-world epilepsy tracking
New research from the Institute of Psychiatry, Psychology & Neuroscience (IoPPN) at King's College London in partnership with the Mayo Clinic and UNEEG medical, has found that an electronic device placed under the scalp is an effective and feasible means of accurately tracking epilepsy.

GPUTB: Efficient Machine Learning Tight-Binding Method for Large-Scale Electronic Properties Calculations
Yunlong Wang, Zhixin Liang, Chi Ding, Junjie Wang, Zheyong Fan, Hui-Tian Wang, Dingyu Xing, Jian Sun
https://arxiv.org/abs/2509.06525

GPUTB: Efficient Machine Learning Tight-Binding Method for Large-Scale Electronic Properties Calculations
The high computational cost of ab-initio methods limits their application in predicting electronic properties at the device scale. Therefore, an efficient method is needed to map the atomic structure to the electronic structure quickly. Here, we develop GPUTB, a GPU-accelerated tight-binding (TB) machine learning framework. GPUTB employs atomic environment descriptors, enabling the model parameters to incorporate environmental dependence. This allows the model to transfer to different basis, xc…

Integrated Open-Source Framework for Simulation of Transcatheter Pulmonary Valves in Native Right Ventricular Outflow Tracts
Christopher N. Zelonis, Jalaj Maheshwari, Wensi Wu, Steve A. Maas, Seda Aslan, Kyle Sunderland, Stephen Ching, Ashley Koluda, Yuval Barak-Corren, Nicolas Mangine, Patricia M. Sabin, Andras Lasso, Devin W. Laurence, Christian Herz, Matthew J. Gillespie, Jeffrey A. Weiss, Matthew A. Jolley

Integrated Open-Source Framework for Simulation of Transcatheter Pulmonary Valves in Native Right Ventricular Outflow Tracts
Background - Pulmonary insufficiency is a consequence of transannular patch repair in Tetralogy of Fallot (ToF), leading to late morbidity and mortality. Transcatheter native outflow tract pulmonary valve replacement (TPVR) has become common, but assessment of patient candidacy and selection of the optimal device remains challenging. We demonstrate an integrated open-source workflow for simulation of TPVR in image-derived models to inform device selection. Methods - Machine learning-based seg…

Adaptive Knowledge Distillation for Device-Directed Speech Detection
Hyung Gun Chi, Florian Pesce, Wonil Chang, Oggi Rudovic, Arturo Argueta, Stefan Braun, Vineet Garg, Ahmed Hussen Abdelaziz
https://arxiv.org/abs/2508.02801

Adaptive Knowledge Distillation for Device-Directed Speech Detection
Device-directed speech detection (DDSD) is a binary classification task that separates the user's queries to a voice assistant (VA) from background speech or side conversations. This is important for achieving naturalistic user experience. To this end, we propose knowledge distillation (KD) to enhance DDSD accuracy while ensuring efficient deployment. Specifically, we introduce a novel adaptive KD method that transfers knowledge from general representations of an ASR large pre-trained acoustic …

Towards On-Device Personalization: Cloud-device Collaborative Data Augmentation for Efficient On-device Language Model
Zhaofeng Zhong, Wei Yuan, Liang Qu, Tong Chen, Hao Wang, Xiangyu Zhao, Hongzhi Yin
https://arxiv.org/abs/2508.21313

Towards On-Device Personalization: Cloud-device Collaborative Data Augmentation for Efficient On-device Language Model
With the advancement of large language models (LLMs), significant progress has been achieved in various Natural Language Processing (NLP) tasks. However, existing LLMs still face two major challenges that hinder their broader adoption: (1) their responses tend to be generic and lack personalization tailored to individual users, and (2) they rely heavily on cloud infrastructure due to intensive computational requirements, leading to stable network dependency and response delay. Recent research h…

Ketryx, which is building an AI-native compliance platform to speed up medical device development, raised a $39M Series B, bringing its total funding to $55M (Kyt Dotson/SiliconANGLE)
https://siliconangle.com/2025/09/04/ketryx-rai…

Ketryx raises $39M to help medical device makers ship safer products faster - SiliconANGLE
Ketryx raises $39M to help medical device makers ship safer products faster - SiliconANGLE

Smart Home Device Maker Renders Devices Dumb Unless A New Subscription Is Paid For | Techdirt
https://www.techdirt.com/2025/08/01/smart-home-device-maker-renders-devices-dumb-unless-a-new-subscription-is-paid-for/

TGLF-SINN: Deep Learning Surrogate Model for Accelerating Turbulent Transport Modeling in Fusion
Yadi Cao, Futian Zhang, Wesley Liu, Tom Neiser, Orso Meneghini, Lawson Fuller, Sterling Smith, Raffi Nazikian, Brian Sammuli, Rose Yu
https://arxiv.org/abs/2509.07024

TGLF-SINN: Deep Learning Surrogate Model for Accelerating Turbulent Transport Modeling in Fusion
The Trapped Gyro-Landau Fluid (TGLF) model provides fast, accurate predictions of turbulent transport in tokamaks, but whole device simulations requiring thousands of evaluations remain computationally expensive. Neural network (NN) surrogates offer accelerated inference with fully differentiable approximations that enable gradient-based coupling but typically require large training datasets to capture transport flux variations across plasma conditions, creating significant training burden and …

Here is an example of #degoogling your android if your device don't support a custom ROM.
Though I recommend using shizuku canta if it looks difficult.
https://www.youtube.com/watch?v=3UOqvQkXr0k

Symplectic configurations: a homological and computer-aided approach
Weimin Chen
https://arxiv.org/abs/2509.07429 https://arxiv.org/pdf/2509.07429

Symplectic configurations: a homological and computer-aided approach
We formulated a homological and computer-aided approach to study certain unions of symplectic surfaces, called symplectic configurations, in a rational $4$-manifold $X=CP^2\# N\overline{CP^2}$. We addressed several fundamental theoretical questions, and also as a technical device, developed a symplectic analog of the so-called quadratic Cremona transformations in complex algebraic geometry. As an application, we gave a new proof that a certain line arrangement in $CP^2$, called Fano planes, doe…

A Distributed Emulation Environment for In-Memory Computing Systems
Eleni Bougioukou, Anastasios Petropoulos, Nikolaos Toulgaridis, Theodoros Chatzimichail, Theodore Antonakopoulos
https://arxiv.org/abs/2510.08257

A Distributed Emulation Environment for In-Memory Computing Systems
In-memory computing technology is used extensively in artificial intelligence devices due to lower power consumption and fast calculation of matrix-based functions. The development of such a device and its integration in a system takes a significant amount of time and requires the use of a real-time emulation environment, where various system aspects are analyzed, microcode is tested, and applications are deployed, even before the real chip is available. In this work, we present the architectur…

Interesting
https://www.premierguitar.com/news/new-bzzzzkill-device-solves-stratocaster-60hz-hum-problem

New BzzzzKill Device Solves Stratocaster 60Hz Hum Problem
The newly launched company BzzzzKill has introduced its debut product: a specially designed coil that drastically reduces hum in Stratocaster-style guitars.BzzzzKill solves a problem that has plagued Strat players for more than 70 years: single-coil pickup noise. The new BzzzzKill hum reduction dev...

Artificial Synapse based on ULTRARAM Memory Device for Neuromorphic Applications
Abhishek Kumar, Peter D. Hodgson, Manus Hayne, Avirup Dasgupta
https://arxiv.org/abs/2510.05671 …

Artificial Synapse based on ULTRARAM Memory Device for Neuromorphic Applications
The memory demands of large-scale deep neural networks (DNNs) require synaptic weight values to be stored and updated in off-chip memory like dynamic random-access memory, which reduces energy efficiency and increases training time. Monolithic crossbar or pseudo-crossbar arrays using analog non-volatile memories, which can store and update weights on-chip, present an opportunity to efficiently accelerate DNN training. In this article, we present on-chip training and inference of a neural networ…

Capture and Interact: Rapid 3D Object Acquisition and Rendering with Gaussian Splatting in Unity
Islomjon Shukhratov, Sergey Gorinsky
https://arxiv.org/abs/2510.06802 https://…

Capture and Interact: Rapid 3D Object Acquisition and Rendering with Gaussian Splatting in Unity
Capturing and rendering three-dimensional (3D) objects in real time remain a significant challenge, yet hold substantial potential for applications in augmented reality, digital twin systems, remote collaboration and prototyping. We present an end-to-end pipeline that leverages 3D Gaussian Splatting (3D GS) to enable rapid acquisition and interactive rendering of real-world objects using a mobile device, cloud processing and a local computer. Users scan an object with a smartphone video, upload…

DualTune: Decoupled Fine-Tuning for On-Device Agentic Systems
Rohan Kadekodi, Zhan Jin, Keisuke Kamahori, Yile Gu, Sean Khatiri, Noah H. Bayindirli, Sergey Gorbunov, Baris Kasikci
https://arxiv.org/abs/2510.00229

DualTune: Decoupled Fine-Tuning for On-Device Agentic Systems
The deployment of Large Language Models (LLMs) as agentic orchestrators has revolutionized task automation, but the need for privacy-preserving, cost-effective solutions demands on-device inference capabilities. However, local LLMs consistently underperform compared to frontier models in tool calling scenarios, struggling with both tool selection from large tool sets and accurate argument generation for complex parameter structures. We introduce a methodology that disaggregates a tool-calling t…

Bill Clinton, 79, Spotted With Medical Device at Airport (Emell Derra Adolphus/The Daily Beast)
https://www.thedailybeast.com/bill-clinton-79-spotted-with-medical-device-at-airport/
http://www.memeorandum.com/250831/p107#a250831p107

Iterative model of self-referential quantum evolution
Andrei Galiautdinov
https://arxiv.org/abs/2509.07940 https://arxiv.org/pdf/2509.07940

Iterative model of self-referential quantum evolution
We introduce and analyze a toy model of a quantum physical device capable of internal, self-referential deliberation, realized through iterative, branch-dependent unitary evolution tracked by control, memory, and policy registers. The key idea is to represent ``deliberation'' as a coherent branching process, in which alternative candidate evolutions are maintained in superposition across registers, rather than by placing the system itself under a literal superposition of Hamiltonians. We provid…

VisualTrap: A Stealthy Backdoor Attack on GUI Agents via Visual Grounding Manipulation
Ziang Ye, Yang Zhang, Wentao Shi, Xiaoyu You, Fuli Feng, Tat-Seng Chua
https://arxiv.org/abs/2507.06899

VisualTrap: A Stealthy Backdoor Attack on GUI Agents via Visual Grounding Manipulation
Graphical User Interface (GUI) agents powered by Large Vision-Language Models (LVLMs) have emerged as a revolutionary approach to automating human-machine interactions, capable of autonomously operating personal devices (e.g., mobile phones) or applications within the device to perform complex real-world tasks in a human-like manner. However, their close integration with personal devices raises significant security concerns, with many threats, including backdoor attacks, remaining largely unexp…

I've never seen this before. Wireless device says it connects to network and reports an IP address. Router has no knowledge of that device.
WEIRD!
#networking

SenseCrypt: Sensitivity-guided Selective Homomorphic Encryption for Joint Federated Learning in Cross-Device Scenarios
Borui Li, Li Yan, Junhao Han, Jianmin Liu, Lei Yu
https://arxiv.org/abs/2508.04100

SenseCrypt: Sensitivity-guided Selective Homomorphic Encryption for Joint Federated Learning in Cross-Device Scenarios
Homomorphic Encryption (HE) prevails in securing Federated Learning (FL), but suffers from high overhead and adaptation cost. Selective HE methods, which partially encrypt model parameters by a global mask, are expected to protect privacy with reduced overhead and easy adaptation. However, in cross-device scenarios with heterogeneous data and system capabilities, traditional Selective HE methods deteriorate client straggling, and suffer from degraded HE overhead reduction performance. According…

TeleopLab: Accessible and Intuitive Teleoperation of a Robotic Manipulator for Remote Labs
Ziling Chen, Yeo Jung Yoon, Rolando Bautista-Montesano, Zhen Zhao, Ajay Mandlekar, John Liu
https://arxiv.org/abs/2509.05547

TeleopLab: Accessible and Intuitive Teleoperation of a Robotic Manipulator for Remote Labs
Teleoperation offers a promising solution for enabling hands-on learning in remote education, particularly in environments requiring interaction with real-world equipment. However, such remote experiences can be costly or non-intuitive. To address these challenges, we present TeleopLab, a mobile device teleoperation system that allows students to control a robotic arm and operate lab equipment. TeleopLab comprises a robotic arm, an adaptive gripper, cameras, lab equipment for a diverse range of…

Smartphone Exergames with Real-Time Markerless Motion Capture: Challenges and Trade-offs
Mathieu Phosanarack (LAMIH, UPHF), Laura Wallard (LAMIH, UPHF), Sophie Lepreux (LAMIH, UPHF), Christophe Kolski (LAMIH), Eug\'enie Avril (LAMIH, UPHF)
https://arxiv.org/abs/2507.06669

Smartphone Exergames with Real-Time Markerless Motion Capture: Challenges and Trade-offs
Markerless Motion Capture (MoCap) using smartphone cameras is a promising approach to making exergames more accessible and cost-effective for health and rehabilitation. Unlike traditional systems requiring specialized hardware, recent advancements in AI-powered pose estimation enable movement tracking using only a mobile device. For an upcoming study, a mobile application with real-time exergames including markerless motion capture is being developed. However, implementing such technology intro…

StimulHeat: a Low-Energy Wearable Thermal Feedback Device Using Peltier Elements with Heat Flow Controlled Loop for Hand Interactions in Virtual Reality
Matthieu Mesnage, Sophie Villenave, Bertrand Massot, Matthieu Blanchard, Pierre Raimbaud, Guillaume Lavou\'e, Claudine Gehin
https://arxiv.org/abs/2509.05020

StimulHeat: a Low-Energy Wearable Thermal Feedback Device Using Peltier Elements with Heat Flow Controlled Loop for Hand Interactions in Virtual Reality
Nowadays, the majority of wearable thermal feedback systems designed for use in virtual reality applications are not compatible or not integrated to standard controllers and are based on temperature control. The objectives of the present work is to enable integration with existing controllers, in this case Valve Index controllers, and to propose an alternative approach to managing thermal stimulation with Peltier modules by controlling heat flow instead of temperature. We introduce StimulHeat a…

High-current p-type transistors from precursor-engineered synthetic monolayer WSe$_2$
Anh Tuan Hoang, Kathryn Neilson, Kaikui Xu, Yucheng Yang, Stephanie M. Ribet, Tara Pe\~na, Giulio D'Acunto, Young Suh Song, Anton E. O. Persson, William Millsaps, Colin Ophus, Matthew R. Rosenberger, Eric Pop, Andrew J. Mannix
https://arxiv.org/abs/25…

High-current p-type transistors from precursor-engineered synthetic monolayer WSe$_2$
Monolayer tungsten diselenide (WSe$_2$) is a leading candidate for nanoscale complementary logic. However, high defect densities introduced during thin-film growth and device fabrication have limited p-type transistor performance. Here, we report a combined strategy of precursor-engineered chemical vapor deposition and damage-minimizing fabrication to overcome this limitation. By converting tungsten trioxide and residual oxyselenides into reactive suboxides before growth, and precisely regulati…

Nonlinear Co-simulation for Designing Kinetic Inductance Parametric Amplifiers
Likai Yang, Yufeng Wu, Chaofan Wang, Mingrui Xu, Hong X. Tang, Mohamed A. Hassan, Eric T. Holland
https://arxiv.org/abs/2509.07816

Nonlinear Co-simulation for Designing Kinetic Inductance Parametric Amplifiers
Kinetic inductance parametric amplifiers (KIPAs) have been widely studied for small-signal detection in superconducting quantum circuits. In this work, we demonstrate the modeling of a niobium nitride nanowire based KIPA using electromagnetic (EM) and circuit co-simulation, and compare the outcomes with experimental results. EM analysis is first performed on the device layout, taking into account the linear part of the kinetic inductance. The results are then integrated into a harmonic balance …

GNN-enhanced Traffic Anomaly Detection for Next-Generation SDN-Enabled Consumer Electronics
Guan-Yan Yang, Farn Wang, Kuo-Hui Yeh
https://arxiv.org/abs/2510.07109 https://

GNN-enhanced Traffic Anomaly Detection for Next-Generation SDN-Enabled Consumer Electronics
Consumer electronics (CE) connected to the Internet of Things are susceptible to various attacks, including DDoS and web-based threats, which can compromise their functionality and facilitate remote hijacking. These vulnerabilities allow attackers to exploit CE for broader system attacks while enabling the propagation of malicious code across the CE network, resulting in device failures. Existing deep learning-based traffic anomaly detection systems exhibit high accuracy in traditional network …

Developing a Cost-Effective Spectrometer: A Practical Approach
Mohammad Tahsin Alam, Zafrin Jahan Nikita, Yasir Mahmud, Rafichha Yeasmin, Fairuz Darimi Bushra, Sheikh Hasib Cheragee, Redwanul Talukder Zeem
https://arxiv.org/abs/2510.06703

Developing a Cost-Effective Spectrometer: A Practical Approach
The paper demonstrates the design and execution of a low-cost optical spectrometer that employs a webcam, diffraction grating & Python (a free, open-source programming language). The device's design prioritized economy and usability, with a black box casing to reduce stray light and increase measurement accuracy. A diffraction grating made from a DVD was used to split light into its constituent wavelengths, which were then collected by the camera. The calibration procedure used a RED TIDE USB65…

Series D, Episode 09 - Sand
TARRANT: No?
SERVALAN: [Pulls the end of his gun to her forehead] At a distance of one inch, the shot should be even more efficient.
https://blake.torpidity.net/m/409/165 B7B2

Is it possible to make OpenVPN validate that a certificate follows a specific chain?
Use case:
* Internal company root
* Internal company VPN intermediate
* Device certs for each client/server
Is it possible to do something like this but not allow other certs signed by the same root, under a different intermediate, to authenticate to the VPN?

Google Pixel 10 Pro Fold review: nice display and most AI features run on device, but cameras are a step down from other Pro Pixels, Tensor G5 shows small gains (Ryan Whitwam/Ars Technica)
https://arstechnica.com/gadgets/2025/10/google-pixel…

Google Pixel 10 Pro Fold review: The ultimate Google phone
Google delivers another phone that is slightly better than its predecessor—is that enough?

Crosslisted article(s) found for cs.PF. https://arxiv.org/list/cs.PF/new
[1/1]:
- Characterizing and Optimizing Realistic Workloads on a Commercial Compute-in-SRAM Device
Zhang, Zhu, Golden, Ilan, Chen, Batten, Zhang

From Neural Sensing to Stimulation: An Interdisciplinary Roadmap for Neurotechnology
Ruben Ruiz-Mateos Serrano, Joe G Troughton, Nima Mirkhani, Natalia Martinez, Massimo Mariello, Jordan Tsigarides, Simon Williamson, Juan Sapriza, Ioana Susnoschi Luca, Antonio Dominguez-Alfaro, Estelle Cuttaz, Nicole Thompson, Sydney Swedick, Latifah Almulla, Amparo Guemes
http…

From Neural Sensing to Stimulation: An Interdisciplinary Roadmap for Neurotechnology
Neurotechnologies are transforming how we measure, interpret, and modulate brain-body interactions, integrating real-time sensing, computation, and stimulation to enable precise physiological control. They hold transformative potential across clinical and non-clinical domains, from treating disorders to enhancing cognition and performance. Realizing this potential requires navigating complex, interdisciplinary challenges spanning neuroscience, materials science, device engineering, signal proce…

🫁 Soft robot intubation device, designed specifically for non-expert users, could save lives
https://medicalxpress.com/news/2025-09-soft-robot-intubation-device-specifically.html

Soft robot intubation device, designed specifically for non-expert users, could save lives
Maintaining an open airway is a critical priority in emergency medicine. Without the flow of oxygen, other emergency interventions can become ineffective at saving the patient's life. However, creating this airway through endotracheal intubation is a difficult task for highly trained individuals and under the best of circumstances.

Fully integrated automatic reusable microfluidic setup for immobilization, analysis and non-selective release of particles
Alexandre Chargueraud, Lars Kool, Jacques Fattaccioli
https://arxiv.org/abs/2507.06241

Fully integrated automatic reusable microfluidic setup for immobilization, analysis and non-selective release of particles
We present a microfluidic device that enables trapping, analysis, and on-demand release of individual microparticles through membrane deformation driven by pneumatic actuation. Inspired by Pachinko-style architectures, the system features an array of traps supported by a deformable PDMS membrane, actuated via pressure control in a pneumatic chamber bonded above. Unlike conventional rigid designs, our configuration enhances membrane flexibility using a wide elliptical cavity and suspended rectil…

Design of Input-Output Observers for a Population of Systems with Bounded Frequency-Domain Variation using $DK$-iteration
Timothy Everett Adams, James Richard Forbes
https://arxiv.org/abs/2509.07201

Design of Input-Output Observers for a Population of Systems with Bounded Frequency-Domain Variation using $DK$-iteration
This paper proposes a linear input-output observer design methodology for a population of systems in which each observer uses knowledge of the linear time-invariant dynamics of the particular device. Observers are typically composed of a known model of the system and a correction mechanism to produce an estimate of the state. The proposed design procedure characterizes the variation within the population in the frequency domain and synthesizes a single robust correction filter. The correction f…

Modular interface for efficient optical readout of diamond quantum memory at cryogenic temperatures via single-mode optical fibers
Akira Kamimaki, Yuhei Sekiguchi, Daisuke Ito, Taichi Fujiwara, Toshiharu Makino, Hiromitsu Kato, Hideo Kosaka
https://arxiv.org/abs/2510.07032

Modular interface for efficient optical readout of diamond quantum memory at cryogenic temperatures via single-mode optical fibers
Efficient quantum devices across various physical systems have been rapidly developed for entanglement-based quantum repeaters and spin-photon conversion; however, far less attention has been paid to standardizing platforms through quantum memory optical interfaces. We present a modular interface for color centers in diamond that is structurally isolated from device-and temperature-related variation. Despite a more than 100-fold reduction in confocal volume, we achieve highly efficient photon c…

Ultrathin oxide freestanding membranes with large-scale continuity and structural perfection
Yuhao Hong, Yang Hu, Jianyao Zheng, Minh D. Nguyen, Jelle R. H. Ruiters, Daniel M. Cunha, Iris C. G. van den Bosch, Edwin Dollekamp, Mark Huijben, Yulin Gan, Nini Pryds, Daesung Park, Christoph Baeumer, Qinghua Zhang, Guus Rijnders, Zhaoliang Liao, Gertjan Koster
https:…

Ultrathin oxide freestanding membranes with large-scale continuity and structural perfection
Freestanding oxide membranes offer integration with advanced semiconductor platforms, unlocking opportunities for flexible electronics, silicon-based spintronics, neuromorphic computing, and high-performance energy technologies. Scalable fabrication of such membranes is essential for bridging fundamental discoveries in complex oxides with practical device deployment. However, the lateral dimensions of crack- and wrinkle-free membranes remain limited to millimeter scales, forming a critical bott…

A three-dimensional acousto-optic deflector
Lewis R. B. Picard, Manuel Endres
https://arxiv.org/abs/2510.07633 https://arxiv.org/pdf/2510.07633

A three-dimensional acousto-optic deflector
Acousto-optic deflectors (AODs) are widely used across physics, microscopy, neuroscience, and laser engineering, providing fast, precise, and non-mechanical control of light. While conventional AODs naturally support multiplexing in one and two dimensions, no analogous device has existed for three-dimensional control, leaving a critical gap in rapid focus tuning and 3D beam shaping. Here we demonstrate a three-dimensional AOD system capable of multiplexed axial and lateral beam control with hig…

ObCLIP: Oblivious CLoud-Device Hybrid Image Generation with Privacy Preservation
Haoqi Wu, Wei Dai, Ming Xu, Li Wang, Qiang Yan
https://arxiv.org/abs/2510.04153 https://

ObCLIP: Oblivious CLoud-Device Hybrid Image Generation with Privacy Preservation
Diffusion Models have gained significant popularity due to their remarkable capabilities in image generation, albeit at the cost of intensive computation requirement. Meanwhile, despite their widespread deployment in inference services such as Midjourney, concerns about the potential leakage of sensitive information in uploaded user prompts have arisen. Existing solutions either lack rigorous privacy guarantees or fail to strike an effective balance between utility and efficiency. To bridge thi…

Progress!
STM32H750 Trion T20 setup is now able to:
* Initialize QUADSPI-connected flash on MCU board and use it for microkvs. Currently in x1 mode, quad will come later once I debug a bit
* Bootloader attempts to boot an image in QUADSPI flash, but it fails because there's no code there
* Connect to FPGA via FMC-APB bridge
* Identify FPGA via hardcoded IDCODE in device info block (there doesn't seem to be any ICAP-equivalent in Trion that lets you determi…

Toward Axion Signal Extraction in Semiconductor Spin Qubits Via Spectral Engineering
Xiangjun Tan, Zhanning Wang
https://arxiv.org/abs/2509.06791 https://a…

Toward Axion Signal Extraction in Semiconductor Spin Qubits Via Spectral Engineering
Recent advances in quantum sensing and computational technologies indicate the possibility of improving the precision of measurements aimed at detecting cosmological particles and weakly interacting massive particles using various qubit platforms. While recent progress has been made, mitigating environmental noise remains a challenge in extracting particle parameters with high fidelity. Addressing these challenges requires efforts on two levels. At the device level, the qubit and its array acti…

🕶️ Meta launches Hyperscape, technology to turn real-world spaces into VR
https://techcrunch.com/2025/09/17/meta-launches-hyperscape-technology-to-turn-real-world-spaces-into-vr/

Meta launches Hyperscape, technology to turn real-world spaces into VR | TechCrunch
Quest device owners will be able to scan a room in a few minutes, then turn it into an immersive and photorealistic world that's like a digital replica of a real-world space.

Memristor-Based Neural Network Accelerators for Space Applications: Enhancing Performance with Temporal Averaging and SIRENs
Zacharia A. Rudge, Dominik Dold, Moritz Fieback, Dario Izzo, Said Hamdioui
https://arxiv.org/abs/2509.04506

Memristor-Based Neural Network Accelerators for Space Applications: Enhancing Performance with Temporal Averaging and SIRENs
Memristors are an emerging technology that enables artificial intelligence (AI) accelerators with high energy efficiency and radiation robustness -- properties that are vital for the deployment of AI on-board spacecraft. However, space applications require reliable and precise computations, while memristive devices suffer from non-idealities, such as device variability, conductance drifts, and device faults. Thus, porting neural networks (NNs) to memristive devices often faces the challenge of …

TofuML: A Spatio-Physical Interactive Machine Learning Device for Interactive Exploration of Machine Learning for Novices
Wataru Kawabe, Hiroto Fukuda, Akihisa Shitara, Yuri Nakao, Yusuke Sugano
https://arxiv.org/abs/2508.00252

TofuML: A Spatio-Physical Interactive Machine Learning Device for Interactive Exploration of Machine Learning for Novices
We introduce TofuML, an interactive system designed to make machine learning (ML) concepts more accessible and engaging for non-expert users. Unlike conventional GUI-based systems, TofuML employs a physical and spatial interface consisting of a small device and a paper mat, allowing users to train and evaluate sound classification models through intuitive, toy-like interactions. Through two user studies -- a comparative study against a GUI-based version and a public event deployment -- we inves…

Modeling Josephson traveling-wave parametric amplifiers with electromagnetic and circuit co-simulation
Likai Yang, Jennifer Wang, Mohamed Awida Hassan, Philip Krantz, Kevin P. O'Brien
https://arxiv.org/abs/2509.07807

Modeling Josephson traveling-wave parametric amplifiers with electromagnetic and circuit co-simulation
Optimizing the performance of cryogenic quantum amplifiers is a key step toward achieving high-fidelity and scalable qubit readout. In this work, we present efficient and accurate modeling of a Josephson traveling-wave parametric amplifier (JTWPA) based on electromagnetic (EM) and circuit co-simulation. In contrast to conventional simulation methods where an equivalent lumped-element circuit model of the JTWPA is required, we directly perform full EM analysis of the device to faithfully determi…

High-Performance Wavelength Division Multiplexers Enabled by Co-Optimized Inverse Design
Sydney Mason, Geun Ho Ahn, Jakob Grzesik, Sungjun Eun, Jelena Vu\v{c}kovi\'c
https://arxiv.org/abs/2509.07233

High-Performance Wavelength Division Multiplexers Enabled by Co-Optimized Inverse Design
Wavelength division multiplexers are fundamental to the functioning and performance of integrated photonic circuits, with applications ranging from optical interconnects to sensing and quantum technologies. Current solutions are limited by trade-offs between channel spacing, crosstalk, insertion loss, and device footprint. Here, we develop a novel design approach that co-optimizes inverse-designed wavelength division multiplexers and distributed Bragg gratings to achieve ultra-low crosstalk wit…

🩻 Bioimaging device with nonmechanical design could improve eye and heart condition detection
https://phys.org/news/2025-08-bioimaging-device-nonmechanical-eye-heart.html

Bioimaging device with nonmechanical design could improve eye and heart condition detection
If you've been to a routine eye exam at the optometrist's office, chances are you've had to place your chin and forehead up close to a bioimaging device.

Illuminating the Future: Nanophotonics for Future Green Technologies, Precision Healthcare, and Optical Computing
Osama M. Halawa, Esraa Ahmed, Malk M. Abdelrazek, Yasser M. Nagy, Omar A. M. Abdelraouf
https://arxiv.org/abs/2507.06587

Illuminating the Future: Nanophotonics for Future Green Technologies, Precision Healthcare, and Optical Computing
Nanophotonics, an interdisciplinary field merging nanotechnology and photonics, has enabled transformative advancements across diverse sectors including green energy, biomedicine, and optical computing. This review comprehensively examines recent progress in nanophotonic principles and applications, highlighting key innovations in material design, device engineering, and system integration. In renewable energy, nanophotonic allows light-trapping nanostructures and spectral control in perovskite…

Experimental device-independent certification of indefinite causal order
Dengke Qu, Quan Lin, Lei Xiao, Xiang Zhan, Peng Xue
https://arxiv.org/abs/2508.04643 https://

Experimental device-independent certification of indefinite causal order
Understanding the physical world fundamentally relies on the assumption that events are temporally ordered, with past events serving as causes for future ones. However, quantum mechanics permits events to occur in a superposition of causal orders, providing new types of quantum resources for quantum information tasks. Previous demonstrations of indefinite causal order have relied on a process known as quantum switch and depended on specific assumptions about the devices used in the laboratory. …

Long-distance device-independent quantum key distribution with standard optics tools
Makoto Ishihara, Anthony Brendan, Wojciech Roga, Masahiro Takeoka
https://arxiv.org/abs/2508.02262

Long-distance device-independent quantum key distribution with standard optics tools
Device-independent quantum key distribution (DI-QKD) enables information-theoretically secure key distribution between remote parties without any assumptions on the internal workings of the devices used for its implementation. However, its communication distance is strictly limited since the loophole-free Bell violation is required to guarantee its security. Therefore, in this paper, we propose two long-distance DI-QKD protocols which use a heralding scheme based on single-photon interference. …

😅 Don't sweat it: New device detects sweat biomarker at minimal perspiration rate
https://medicalxpress.com/news/2025-09-dont-device-biomarker-minimal-perspiration.html

Don't sweat it: New device detects sweat biomarker at minimal perspiration rate
Available on demand, in abundance and containing multiple biomarkers, sweat is an increasingly appealing medium for monitoring health, according to researchers at Penn State. But not everyone—especially critically ill patients—can build up enough sweat to provide a robust enough sample for current analysis techniques.

Replaced article(s) found for quant-ph. https://arxiv.org/list/quant-ph/new
[2/3]:
- Composable framework for device-independent state certification
Rutvij Bhavsar, Lewis Wooltorton, Joonwoo Bae

Logical accreditation: a framework for efficient certification of fault-tolerant computations
James Mills, Adithya Sireesh, Dominik Leichtle, Joschka Roffe, Elham Kashefi
https://arxiv.org/abs/2508.05523

Logical accreditation: a framework for efficient certification of fault-tolerant computations
As fault-tolerant quantum computers scale, certifying the accuracy of computations performed with encoded logical qubits will soon become classically intractable. This creates a critical need for scalable, device-independent certification methods. In this work, we introduce logical accreditation, a framework for efficiently certifying quantum computations performed on logical qubits. Our protocol is robust against general noise models, far beyond those typically considered in performance analys…