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da4ml: Distributed Arithmetic for Real-time Neural Networks on FPGAs

arXiv:2507.04535v2 Announce Type: replace-cross Abstract: Neural networks with a latency requirement on the order of microseconds, like the ones used at the CERN Large Hadron Collider, are typically d

researcharxiv-cs-lg

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Data center demand drives 66% surge in natural gas power plant costs

DGX agent

The cost to build natural gas power plants has spiked 66% in the last two years, with prices rising from less than 1,500 per kilowatt in 2023 to 2,157 in 2025 , driven by surging demand from data cent

industrytechcrunch-ai

27 Apr 2026

Data-Driven Analysis of AI in Medical Device Software in China: Trends of Deep Learning and Traditional AI Based on Regulatory Data

arXiv:2411.07378v3 Announce Type: replace Abstract: Artificial intelligence (AI) in medical device software (MDSW) represents a transformative clinical technology, attracting increasing attention with

Data-Free Contribution Estimation in Federated Learning using Gradient von Neumann Entropy

arXiv:2604.22562v1 Announce Type: cross Abstract: Client contribution estimation in Federated Learning is necessary for identifying clients' importance and for providing fair rewards. Current methods

David Silver is the brilliant mind who conquered the devilishly difficult game of Go. The key insight: learning from experience (self-play, …

David Silver is the brilliant mind who conquered the devilishly difficult game of Go. The key insight: learning from experience (self-play, RL) triumphs over human priors. @Alfred_Lin & I are honored

industrysonya-huang--x

David Silver update. Ineffable Intelligence has raised the largest ever European seed round and is now valued at $5.1 billion. Mr Silver sai…

David Silver update. Ineffable Intelligence has raised the largest ever European seed round and is now valued at $5.1 billion. Mr Silver said in a statement 'Our mission is to make first contact with

industrysonya-huang--x

Decoding High-Dimensional Finger Motion from EMG Using Riemannian Features and RNNs

model-releasesarxiv-cs-lg

arXiv:2604.22499v1 Announce Type: new Abstract: Continuous estimation of high-dimensional finger kinematics from forearm surface electromyography (EMG) could enable natural control for hand prostheses

Decomposed Attention Fusion in MLLMs for Training-Free Video Reasoning Segmentation

arXiv:2510.19592v2 Announce Type: replace Abstract: Multimodal large language models (MLLMs) demonstrate strong video understanding by attending to visual tokens relevant to textual queries. To direct

Deep Learning for Model Calibration in Simulation of Itaconic Acid Production

model-releasesarxiv-cs-lg

arXiv:2604.22496v1 Announce Type: new Abstract: In this study, deep learning is used to estimate kinetic parameters for modeling itaconic acid production based on real batch experiments conducted at d

DeepSeek V4-Pro is live on Fireworks: → Frontier-class coding and reasoning, open-weights → 1M context standard, MIT licensed → 1.74 / 3.4…

model-releasesfireworks-ai--x

DeepSeek V4-Pro is live on Fireworks: → Frontier-class coding and reasoning, open-weights → 1M context standard, MIT licensed → 1.74 / 3.48 per 1M tok Get started now → https://app.fireworks.ai/models

DeepSeek v4 Pro is now on Ollama's cloud! 🚀🚀🚀 Try it with Claude Code: ollama launch claude --model deepseek-v4-pro:cloud Try it with Her…

DeepSeek v4 Pro is now on Ollama's cloud! 🚀🚀🚀 Try it with Claude Code: ollama launch claude --model deepseek-v4-pro:cloud Try it with Hermes Agent: ollama launch hermes --model deepseek-v4-pro:cloud C

model-releasesollama--x

Local Ai

Depth-Aware Rover: A Study of Edge AI and Monocular Vision for Real-World Implementation

arXiv:2604.22331v1 Announce Type: new Abstract: This study analyses simulated and real-world implementations of depth-aware rover navigation, highlighting the transition from stereo vision to monocula

local-aiarxiv-cs-cv

Detecting Cognitive Signatures in Typing Behavior for Non-Intrusive Authorship Verification

arXiv:2603.00177v2 Announce Type: replace-cross Abstract: The proliferation of AI-generated text has intensified the need for reliable authorship verification, yet current output-based methods are inc

researcharxiv-cs-lg

Detecting Concept Drift in Evolving Malware Families Using Rule-Based Classifier Representations

arXiv:2604.22629v1 Announce Type: cross Abstract: This work proposes a structural approach to concept drift detection in malware classification using decision tree rulesets. Classifiers are trained ac

researcharxiv-cs-lg

Devin for Terminal is available for all Windsurf users, and can even be used directly from Windsurf Next.

Devin for Terminal is available for all Windsurf users, and can even be used directly from Windsurf Next. The terminal hasn’t changed much since the 1970s. What you do with it has. Introducing Devin f

agentswindsurf--x

Dharma, Data and Deception: An LLM-Powered Rhetorical Analysis of Cow-Urine Health Claims on YouTube

model-releasesarxiv-cs-cl

arXiv:2604.22606v1 Announce Type: new Abstract: Health misinformation remains one of the most pressing challenges on social media, particularly when cultural traditions intersect with scientific-sound

Different Strokes for Different Folks: Writer Identification for Historical Arabic Manuscripts

model-releasesarxiv-cs-cv

arXiv:2604.22515v1 Announce Type: new Abstract: Handwritten Arabic manuscripts preserve the Arab world's intellectual and cultural heritage, and writer identification supports provenance, authenticity

Local Ai

Differentiable Filtering for Learning Hidden Markov Models

arXiv:2511.10571v2 Announce Type: replace Abstract: Hidden Markov Models (HMMs) are fundamental for modeling sequential data, yet learning their parameters from observations remains challenging. Class

local-aiarxiv-cs-lg

DimABSA: Building Multilingual and Multidomain Datasets for Dimensional Aspect-Based Sentiment Analysis

model-releasesarxiv-cs-cl

arXiv:2601.23022v3 Announce Type: replace Abstract: Aspect-Based Sentiment Analysis (ABSA) focuses on extracting sentiment at a fine-grained aspect level and has been widely applied across real-world

Dissociating Decodability and Causal Use in Bracket-Sequence Transformers

arXiv:2604.22128v1 Announce Type: new Abstract: When trained on tasks requiring an understanding of hierarchical structure, transformers have been found to represent this hierarchy in distinct ways: i

researcharxiv-cs-cl

Distance-Misaligned Training in Graph Transformers and Adaptive Graph-Aware Control

model-releasesarxiv-cs-ai

arXiv:2604.22413v1 Announce Type: cross Abstract: Graph Transformers can mix information globally, but this flexibility also creates failure modes: some tasks require long-range communication while ot

Tutorials

Distilling Vision Transformers for Distortion-Robust Representation Learning

arXiv:2604.22529v1 Announce Type: new Abstract: Self-supervised learning has achieved remarkable success in learning visual representations from clean data, yet remains challenging when clean observat

tutorialsarxiv-cs-cv

DM^3-Nav: Decentralized Multi-Agent Multimodal Multi-Object Semantic Navigation

arXiv:2604.22014v1 Announce Type: cross Abstract: We present DM^3-Nav, a fully decentralized multi-agent semantic navigation system supporting multimodal open-vocabulary goal specification and multi-o

agentsarxiv-cs-ro

Do Not Imitate, Reinforce: Iterative Classification via Belief Refinement

arXiv:2604.22110v1 Announce Type: new Abstract: Standard supervised classification trains models to imitate the exact labels provided by a perfect oracle. This imitation happens in a single pass, rest

agentsarxiv-cs-lg

DocPrune:Efficient Document Question Answering via Background, Question, and Comprehension-aware Token Pruning

arXiv:2604.22281v1 Announce Type: new Abstract: Recent advances in vision-language models have demonstrated remarkable performance across diverse multi-modal tasks, including document question answeri

Doing the right thing might take time, but it’s worth the wait when tens of thousands of users’ production workloads depend on it. And yes, …

model-releasesfireworks-ai--x

Doing the right thing might take time, but it’s worth the wait when tens of thousands of users’ production workloads depend on it. And yes, DeepSeek V4 is coming to @FireworksAI_HQ soon 👀🚀 The DeepSee

Don't try to build a self-improving AI agent without evals. You are just wasting time and compute. An agent can't improve from traces it can…

Don't try to build a self-improving AI agent without evals. You are just wasting time and compute. An agent can't improve from traces it can't evaluate. This is why it's exciting to see @FutureAGI_ go

safetydair-ai--x

DVGT-2: Vision-Geometry-Action Model for Autonomous Driving at Scale

arXiv:2604.00813v3 Announce Type: replace-cross Abstract: End-to-end autonomous driving has evolved from the conventional paradigm based on sparse perception into vision-language-action (VLA) models,

agentsarxiv-cs-ai

dWorldEval: Scalable Robotic Policy Evaluation via Discrete Diffusion World Model

arXiv:2604.22152v1 Announce Type: new Abstract: Evaluating robotics policies across thousands of environments and thousands of tasks is infeasible with existing approaches. This motivates the need for

safetyarxiv-cs-ro

Hardware

@dylan522p You’re their president

This appears to be a post by Dylan Patel (@dylan522p) on X (Twitter), though the context of who 'their' refers to and what organization or group he is president of is not clear from the title alone. T

hardwaredylan-patel--x

Dynamic Coupling and Indirect Control of Jointed Robots Rolling Atop A Moving Platform

arXiv:2604.22104v1 Announce Type: new Abstract: An asymmetric two-link robot supported atop a flat platform by wheels that roll and pivot freely, but do not slip laterally, will develop forward moment

researcharxiv-cs-ro

Applications

Dynamically Acquiring Text Content to Enable the Classification of Lesser-known Entities for Real-world Tasks

arXiv:2604.22325v1 Announce Type: new Abstract: Existing Natural Language Processing (NLP) resources often lack the task-specific information required for real-world problems and provide limited cover

applicationsarxiv-cs-cl

Edit-aware RAW Reconstruction

arXiv:2512.05859v2 Announce Type: replace Abstract: Users frequently edit camera images post-capture to achieve their preferred photofinishing style. While editing in the RAW domain provides greater a

Efficient Diffusion Distillation via Embedding Loss

arXiv:2604.22379v1 Announce Type: new Abstract: Recent advances in distilling expensive diffusion models into efficient few-step generators show significant promise. However, these methods typically d

Efficient Multi-Agent System Training with Data Influence-Oriented Tree Search

arXiv:2502.00955v2 Announce Type: replace Abstract: Monte Carlo Tree Search (MCTS) based methods provide promising approaches for generating synthetic data to enhance the self-training of Large Langua

agentsarxiv-cs-cl

EgoMAGIC- An Egocentric Video Field Medicine Dataset for Training Perception Algorithms

model-releasesarxiv-cs-ai

arXiv:2604.22036v1 Announce Type: cross Abstract: This paper introduces EgoMAGIC (Medical Assistance, Guidance, Instruction, and Correction), an egocentric medical activity dataset collected as part o

Eidolon: A Post-Quantum Signature Scheme Based on k-Colorability in the Age of Graph Neural Networks

arXiv:2602.02689v2 Announce Type: replace-cross Abstract: We propose Eidolon, a post-quantum signature scheme grounded on the NP-complete k-colorability problem. Our construction generalizes the Goldr

Applications

Elon Musk and Sam Altman are going to court over OpenAI’s future

applicationsmit-tech-review

After a yearslong legal feud, Elon Musk and OpenAI CEO Sam Altman are heading to trial this week in Northern California in a case that could have sweeping consequences. Ahead of OpenAI’s highly antici

Elon Musk and Sam Altman’s court battle over the future of OpenAI

Sam Altman and Elon Musk are set to face off in a high-stakes trial that could alter the future of tech’s leading AI startup, OpenAI. The trial begins with jury selection on April 27th, as Musk pushes

industrythe-verge-ai

Elon Musk’s trial against Sam Altman begins today Remember, an OpenAi whistleblower was murdered Tucker Carlson revealed that OpenAI whistle…

Elon Musk’s trial against Sam Altman begins today Remember, an OpenAi whistleblower was murdered Tucker Carlson revealed that OpenAI whistleblower Suchir Balaji’s mother has crime scene photos that sh

industryelon-musk--x

Hardware

Elon’s influence was monumental to OpenAI. The reality is there simply wouldn’t have been the AI world we have today. It is not perfect. But…

Elon’s influence was monumental to OpenAI. The reality is there simply wouldn’t have been the AI world we have today. It is not perfect. But would have been orders of magnitude worse. This is the way

hardwareelon-musk--x

Emergent Strategic Reasoning Risks in AI: A Taxonomy-Driven Evaluation Framework

arXiv:2604.22119v1 Announce Type: new Abstract: As reasoning capacity and deployment scope grow in tandem, large language models (LLMs) gain the capacity to engage in behaviors that serve their own ob

Energy-Efficient Multi-Robot Coverage Path Planning of Non-Convex Regions of Interests

model-releasesarxiv-cs-ro

arXiv:2604.22189v1 Announce Type: new Abstract: This letter presents an energy-efficient multi-robot coverage path planning (MRCPP) framework for large, nonconvex Regions of Interest (ROI) containing

Equivariant Asynchronous Diffusion: An Adaptive Denoising Schedule for Accelerated Molecular Conformation Generation

arXiv:2603.10093v2 Announce Type: replace-cross Abstract: Recent 3D molecular generation methods primarily use asynchronous auto-regressive or synchronous diffusion models. While auto-regressive model

Estimating Tail Risks in Language Model Output Distributions

arXiv:2604.22167v1 Announce Type: cross Abstract: Language models are increasingly capable and are being rapidly deployed on a population-level scale. As a result, the safety of these models is increa

Ethics Testing: Proactive Identification of Generative AI System Harms

arXiv:2604.22089v1 Announce Type: cross Abstract: Generative Artificial Intelligence (GAI) systems that can automatically generate content in the form of source code or other contents (e.g., images) h

EV-CLIP: Efficient Visual Prompt Adaptation for CLIP in Few-shot Action Recognition under Visual Challenges

model-releasesarxiv-cs-cv

arXiv:2604.22595v1 Announce Type: new Abstract: CLIP has demonstrated strong generalization in visual domains through natural language supervision, even for video action recognition. However, most exi

Evaluating LLM-Based Goal Extraction in Requirements Engineering: Prompting Strategies and Their Limitations

arXiv:2604.22207v1 Announce Type: cross Abstract: Due to the textual and repetitive nature of many Requirements Engineering (RE) artefacts, Large Language Models (LLMs) have proven useful to automate