All entries

A hitchhiker's guide to Poisson gradient estimation

arXiv:2602.03896v2 Announce Type: replace-cross Abstract: Poisson-distributed latent variable models are widely used in computational neuroscience, but differentiating through discrete stochastic samp

safetyarxiv-cs-lg

A holomorphic neural network framework for 3D boundary value problems governed by harmonic potentials

All Blog X Post Paper YouTube Reddit GitHub

Clear filters

DGX agent

arXiv:2605.31231v1 Announce Type: cross Abstract: We present a neural-network-based framework for the solution of three-dimensional boundary value problems where the solution is expressible in terms o

researcharxiv-cs-lg

1 Jun 2026

A Kinetic Energy Perspective of Flow Matching

model-releasesarxiv-cs-ai

arXiv:2602.07928v2 Announce Type: replace-cross Abstract: Flow-based generative models can be viewed through a physics lens: sampling transports a particle from noise to data by integrating a learned

A Lecture Note on Offline RL and IRL, Part II: Foundations of Inverse Reinforcement Learning and Dynamic Discrete Choice Models

arXiv:2605.30843v1 Announce Type: new Abstract: In the forward reinforcement-learning problem, the reward is fixed and known; the learner is asked to find a good policy or value function. Here we turn

safetyarxiv-cs-lg

A Lightweight Ensemble-Based Face Image Quality Assessment Method with Correlation-Aware Loss

model-releasesarxiv-cs-cv

arXiv:2509.10114v2 Announce Type: replace Abstract: Face image quality assessment (FIQA) plays a critical role in face recognition and verification systems, especially in uncontrolled, real-world envi

A local to the police as soon as they arrive: 'He has a mouth full of blood' Henry, in and out of consciousness : 'I can't breathe, I've bee…

A local to the police as soon as they arrive: 'He has a mouth full of blood' Henry, in and out of consciousness : 'I can't breathe, I've been stabbed' …WHAT was 'complex' about that Hampshire police?

industryelon-musk--x

A look at the Seckinger school cluster in Georgia, including the US' 'first AI-themed educational institution', as parents say AI integration is often sparse (New York Times)

New York Times: A look at the Seckinger school cluster in Georgia, including the US' “first AI-themed educational institution”, as parents say AI integration is often sparse — It was 9 a.m. on a Thurs

industrytechmeme

A lot more to come! We are excited to work closely with NVIDIA on the Cosmos Coalition

hardwarecristobal-valenzuela--x

A lot more to come! We are excited to work closely with NVIDIA on the Cosmos Coalition Introducing the Cosmos Coalition A new global initiative with NVIDIA and leading AI labs to build and open-source

A new beginning of PC starts with @NVIDIARTXSpark, supercharging what's possible in Hermes Agent.

A new beginning of PC starts with @NVIDIARTXSpark, supercharging what's possible in Hermes Agent. This is the NVIDIA RTX Spark Superchip. A new beginning for personal computers. Designed for creators,

hardwarenous-research--x

A Novel Computer Vision Approach for Assessing Fish Responses to Intrusive Objects in Aquaculture

arXiv:2605.30399v1 Announce Type: cross Abstract: The aquaculture industry needs to address several challenges to secure sustainable seafood production that can serve an increasing global demand. One

applicationsarxiv-cs-lg

A Novel Evaluation Metric for Unsupervised Learning in AIS-Based Maritime Anomaly Detection: MADQI

arXiv:2605.30388v1 Announce Type: new Abstract: This paper introduces a new systematic framework for detecting anomalies in maritime Automatic Identification System (AIS) datasets. These anomalies inc

A Novel Global Context-aware Deep Neural Network for Enhanced Brain Tumor Segmentation using Magnetic Resonance Images

model-releasesarxiv-cs-ai

arXiv:2605.30510v1 Announce Type: cross Abstract: Brain cancer's severity necessitates precise brain tumor segmentation, which is crucial for effective brain tumor diagnosis. Manual identification, bu

A Padding Method for Enhanced Encoding of Inorganic Structures with Varying Chemical Compositions

arXiv:2605.30743v1 Announce Type: cross Abstract: Designing novel inorganic materials through generative models remains an important challenge for material science, driven by the complexity and divers

researcharxiv-cs-cl

a parallel experiment building a coding agent on top of @activegraphai. you can see everything flattened down to a single event log trace

This post documents a parallel experiment where Yohei Nakajima built a coding agent using ActiveGraphAI, showcasing the system's architecture through a flattened event log trace that makes all operati

agentsyohei-nakajima--x

A Persona-Based Evaluation Framework for Pluralistic Alignment in Generative AI

arXiv:2605.31021v1 Announce Type: new Abstract: Current alignment paradigms for generative artificial intelligence rely predominantly on monolithic benchmarking frameworks that reduce the plurality of

A Perturbation Approach to Unconstrained Linear Bandits

arXiv:2603.28201v2 Announce Type: replace Abstract: We revisit the standard perturbation-based approach of Abernethy et al. (2008) in the context of unconstrained Bandit Linear Optimization (uBLO). We

A Pilot Study on Curator-Guided Multilingual Art Description for Blind and Low-Vision Audiences with Small Vision-Language Models

arXiv:2605.31080v1 Announce Type: cross Abstract: Blind and low-vision (BLV) audiences remain underserved by visual art descriptions, particularly across languages and in museum settings where privacy

researcharxiv-cs-ai

Tools

A prompt can cost a million times more than an HTTP request, so token theft is a high-margin business for attackers. How we protect our AI e…

A prompt can cost a million times more than an HTTP request, so token theft is a high-margin business for attackers. How we protect our AI endpoints ↓ https://vercel.com/blog/protecting-against-token-

toolsvercel--x

A study on a Real-Time VR-Based Teleoperation Framework for Manipulator in Dynamic Environment

arXiv:2605.30989v1 Announce Type: new Abstract: Robot teleoperation enables safe, non-contact task execution in hazardous environments where direct human access is difficult, and its application has e

safetyarxiv-cs-ro

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications

arXiv:2601.22202v2 Announce Type: replace-cross Abstract: Semantic communication (SemCom) emerges as a transformative paradigm for traffic-intensive visual data transmission, shifting focus from raw d

researcharxiv-cs-cv

A Tight Theory of Error Feedback Algorithms in Distributed Optimization

arXiv:2605.31594v1 Announce Type: new Abstract: Communication costs are a major bottleneck in distributed learning and first-order optimization. A common approach to alleviate this issue is to compres

agentsarxiv-cs-lg

A Unified and Reproducible Experimentation Framework for Speech Understanding

arXiv:2605.30899v1 Announce Type: cross Abstract: Speech foundation models and Speech LLMs have advanced speech understanding, yet deployment-oriented model selection is hindered by non-comparable eva

agentsarxiv-cs-ai

A Unified Framework for Gradient Aggregation in Multi-Objective Optimization

arXiv:2605.30452v1 Announce Type: cross Abstract: Many machine learning problems involve multiple inherent trade-offs that are best addressed by gradient-based multi-objective optimization (MOO) algor

A Unifying View of Anchoring via Operator-Side Tikhonov Regularization

arXiv:2605.30905v1 Announce Type: cross Abstract: Anchored fixed point and monotone equation methods, including Halpern iteration, extra anchored gradient, and their relatives, add a vanishing pull to

A Unifying View of Variational Generative Wasserstein Flows

arXiv:2605.31369v1 Announce Type: cross Abstract: Many modern generative models can be viewed as minimizing divergences between probability distributions, yet they rely on different algorithmic and ge

researcharxiv-cs-cv

A Visually Impaired Assistance Benchmark for VLM-as-a-Judge Evaluation

model-releasesarxiv-cs-cl

arXiv:2605.31351v1 Announce Type: new Abstract: AI-based Visually Impaired Assistance (VIA) remains challenging, largely due to the high cost of human evaluation. The VLM-as-a-Judge paradigm may offer

AbstainGNN: Teaching Graph Neural Networks to Abstain for Graph Classification

model-releasesarxiv-cs-lg

arXiv:2605.30786v1 Announce Type: new Abstract: Graph classification is a core task in graph data mining with widespread real-world applications. Recent advances in graph neural networks (GNNs) have l

Accelerate LLM model loading and increase context windows with GPUDirect on Amazon FSx for Lustre and TurboQuant

If you’re iterating on deploying large language models (LLMs) on AWS GPU instances, you’ve probably noticed the larger the model to be loaded into GPU High Bandwidth Memory (HBM), the longer the painf

hardwareaws-ml-blog

Accelerated Multiple Wasserstein Gradient Flows for Multi-objective Distributional Optimization

arXiv:2601.19220v2 Announce Type: replace Abstract: We study multi-objective optimization over probability distributions in Wasserstein space. Recently, Nguyen et al. (2025) introduced Multiple Wasser

Active Timepoint Selection for Learning Measure-Valued Trajectories

arXiv:2605.30625v1 Announce Type: cross Abstract: Inferring continuous probability paths from sparse snapshots is a fundamental challenge in domains like single-cell biology, where high-fidelity data

activegraph longmemeval experiment #1: https://x.com/ActiveGraphAI/status/2059106393433780292?s=20

activegraph longmemeval experiment #1: https://x.com/ActiveGraphAI/status/2059106393433780292?s=20 [technical blog post] “Evidence Compilation Before Semantic Memory: ActiveGraph on LongMemEval-S” ——

agentsyohei-nakajima--x

Actuator-Aware Inverse Kinematics with Joint-Limit Admissibility for Torque-Controlled Redundant Robots

arXiv:2605.31436v1 Announce Type: new Abstract: This paper proposes actuator-aware inverse kinematics for torque-controlled redundant robots under joint-limit constraints. In the considered architectu

researcharxiv-cs-ro

Adaptive Artificial Time-Delay Control with Barrier Lyapunov Constraints for Euler-Lagrange Robots

arXiv:2605.31405v1 Announce Type: new Abstract: This paper addresses the challenge of simultaneously compensating for state-dependent uncertainties and enforcing time-varying state constraints in Eule

safetyarxiv-cs-ro

Adaptive NAD: Online and Self-adaptive Unsupervised Network Anomaly Detector

model-releasesarxiv-cs-lg

arXiv:2410.22967v5 Announce Type: replace Abstract: The widespread usage of the Internet of Things (IoT) has raised the risks of cyber threats; thus, developing Anomaly Detection Systems (ADSs) that c

Local Ai

Adaptive Physics Transformer with Fused Global-Local Attention for Subsurface Energy Systems

arXiv:2602.11208v2 Announce Type: replace Abstract: The Earth's subsurface is a cornerstone of modern society, providing essential energy resources like hydrocarbons, geothermal, and minerals while se

local-aiarxiv-cs-lg

AdaptR1: Reinforcement Learning Based Adaptive Interleaved Thinking in Multi-hop Question Answering

arXiv:2605.31062v1 Announce Type: new Abstract: Large Language Models (LLMs) have achieved remarkable performance in complex reasoning tasks through Chain-of-Thought (CoT) prompting. However, this app

researcharxiv-cs-cl

Advances and Challenges in Meta-Learning: A Technical Review

arXiv:2307.04722v2 Announce Type: replace Abstract: Meta-learning empowers learning systems with the ability to acquire knowledge from multiple tasks, enabling faster adaptation and generalization to

applicationsarxiv-cs-lg

AdvScene: Rethinking Adversarial Patch Evaluation Through Scene Robustness

arXiv:2605.30578v1 Announce Type: cross Abstract: Adversarial patches are physical patterns attached to real objects to mislead AI vision systems. Their real-world risk is not determined by a single s

applicationsarxiv-cs-cv

After watching Henry Nowak bleed to death while in handcuffs, while his murderer was treated as the victim, I can honestly say I have never …

After watching Henry Nowak bleed to death while in handcuffs, while his murderer was treated as the victim, I can honestly say I have never witnessed a greater betrayal by a nation of its own people.

industryelon-musk--x

After watching the body cam footage from the horrific murder of Henry Nowak my blood is boiling. The poor boy was a victim of a violent raci…

After watching the body cam footage from the horrific murder of Henry Nowak my blood is boiling. The poor boy was a victim of a violent racist attack. He is literally bleeding to death begging for hel

industryelon-musk--x

AgentOps: Operationalize agentic AI at scale with Amazon Bedrock AgentCore

When you build agentic AI solutions, you face unique operational challenges. Agents make unpredictable decisions, costs spiral unexpectedly, and debugging non-deterministic failures seems impossible.

agentsaws-ml-blog

Aggregation Buffer: Revisiting DropEdge with a New Parameter Block

model-releasesarxiv-cs-lg

arXiv:2505.20840v2 Announce Type: replace Abstract: We revisit DropEdge, a data augmentation technique for GNNs which randomly removes edges to expose diverse graph structures during training. While b

AI companies wouldn't enslave engineers, or steal chips from Nvidia, or illegally tap a power line. So why, asks @AGSNYT, do they feel entit…

AI companies wouldn't enslave engineers, or steal chips from Nvidia, or illegally tap a power line. So why, asks @AGSNYT, do they feel entitled to 'a brazen theft of intellectual property' from news o

hardwaregary-marcus--x

AI costs how much? GitHub Copilot users react to new usage-based pricing system.

GitHub Copilot transitioned to usage-based billing on June 1, 2026 , replacing request-based pricing with a system where each plan includes a monthly allotment of GitHub AI Credits calculated based on

industryars-technica

AI for Monitoring and Classifying Data Used in Research Literature

arXiv:2605.30582v1 Announce Type: new Abstract: While platforms like Google Scholar and Semantic Scholar track citations for academic papers, no comparable infrastructure exists for monitoring dataset

researcharxiv-cs-cl

AI is blowing up music. How should the Grammys handle it?

Today I’m talking with Harvey Mason Jr., who is CEO of the Recording Academy — that’s the outfit that puts on the Grammy Awards. I last talked to Harvey in 2024, when it was obvious that generative AI

industrythe-verge-ai

AI Loss of Control Incident Management: Response & Resilience

arXiv:2605.30406v1 Announce Type: cross Abstract: Recent research demonstrating AI systems exhibiting deception and shutdown resistance suggests that AI loss of control (LOC) is an urgent policy conce

Algorithmic Recourse of In-Context Learning for Tabular Data

arXiv:2605.31272v1 Announce Type: new Abstract: As predictive models are increasingly deployed in high-stakes settings such as credit approval, there is a growing need for post-hoc methods that provid

applicationsarxiv-cs-lg