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A computable representation of the physical laboratory enables verifiable workflows

arXiv:2609.03621v1 Announce Type: new Abstract: Making science computable requires representations of both scientific knowledge and the physical world in which scientific claims are tested. A computab

agentsarxiv-cs-ai

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A Computationally Feasible Framework for Causal Probabilistic Explanation

DGX agent

arXiv:2609.04177v1 Announce Type: new Abstract: Explaining why a specific outcome occurred, and which inputs deserve the blame or credit, is central to philosophical, scientific, and policy analysis.

safetyarxiv-cs-ai

4 Sept 2026

Industry

A group of incredibly talented and dedicated engineers made Cybercab happen. If you want to join them, we’re hiring AI engineers across the …

A group of incredibly talented and dedicated engineers made Cybercab happen. If you want to join them, we’re hiring AI engineers across the board: scaling, data, RL, reasoning, evals, world models, au

industryelon-musk--x

Local Ai

A hybrid pipeline for dynamic ontology-based semantic mapping

arXiv:2609.03891v1 Announce Type: new Abstract: Semantic mapping plays a crucial role in the ability of a robot to interact with objects, operate and navigate a complex environment. The most common pi

local-aiarxiv-cs-ro

A Large Open Multi-Energy Corpus of Soil Compaction Tests, with Machine-Learning Baselines

model-releasesarxiv-cs-lg

arXiv:2609.03337v1 Announce Type: new Abstract: Every engineered fill is specified by a maximum dry density and an optimum moisture content. Each determination needs a full Proctor test. Published cor

A location-invariant estimator of extremal quantile treatment effects for heavy-tailed distributions

model-releasesarxiv-cs-lg

arXiv:2609.04018v1 Announce Type: new Abstract: Quantile treatment effects (QTEs) measure the effect of a treatment on the distribution of an outcome, and their estimation at extreme quantile levels i

A Low-Cost, Open Platform for End-to-End Autonomous Driving on a Miniature Ackermann Vehicle

arXiv:2609.04147v1 Announce Type: cross Abstract: This paper presents a low-cost, open experimental platform for research in end-to-end autonomous driving with miniature Ackermann vehicles. The platfo

safetyarxiv-cs-ai

A Multi-Vine Soft Robot Enabling Accessible Working Channel and Steering

arXiv:2609.03758v1 Announce Type: new Abstract: Soft eversion robots, also known as vine robots, have attracted growing interest for navigation and inspection tasks, including minimally invasive medic

researcharxiv-cs-ro

A Nesterov-Accelerated Byzantine-Robust Federated Learning

arXiv:2511.02657v2 Announce Type: replace Abstract: We investigate robust federated learning, where a group of workers collaboratively train a shared model under the orchestration of a central server

A Non-Formulable Theorem: A Fundamental Limit of Finite Syntactic Systems and Its Consequences for Security and AI

arXiv:2609.04086v1 Announce Type: cross Abstract: For every coherent and sufficiently expressive finite syntactic system S, we prove the existence of at least one theorem that S cannot produce autonom

applicationsarxiv-cs-ai

A Peer-Relative Representation Learning Framework for Energy Inefficiency Identification in Mobile Network Sites

arXiv:2609.03809v1 Announce Type: new Abstract: Energy consumption is one of the largest operational expenditure items for mobile network operators, yet site-level energy inefficiencies such as faulty

Hardware

A profile of Hugging Face, which started in 2016 to build a sassy chatbot for teens; CEO Clément Delangue says he approached Nvidia this summer to pursue a deal (Wall Street Journal)

Wall Street Journal: A profile of Hugging Face, which started in 2016 to build a sassy chatbot for teens; CEO Clément Delangue says he approached Nvidia this summer to pursue a deal — The startup bega

hardwaretechmeme

A Prompt-Engineering Approach to Develop Scalable, Flexible, and Real-Time Hybrid Micro-Level Personalization in a General Purpose AI Teaching Assistant

arXiv:2609.03402v1 Announce Type: new Abstract: Artificial intelligence (AI) teaching assistants powered by large language models (LLMs) offer scalable educational support but often provide limited pe

researcharxiv-cs-ai

A Quantitative Comparison of Centralised and Distributed Reinforcement Learning-Based Control for Soft Robotic Arms

arXiv:2511.02192v3 Announce Type: replace Abstract: This paper presents a quantitative comparison between centralised and distributed multi-agent reinforcement learning (MARL) architectures for contro

safetyarxiv-cs-ro

A Reverse Sign Language Dictionary: Open-Vocabulary Sign Recognition from Continuous Signing via Video Captioning and Description Retrieval

arXiv:2609.03788v1 Announce Type: cross Abstract: Isolated Sign Language Recognition (ISLR) is conventionally cast as closed-set classification over gloss labels, which cannot generalize to signs unse

researcharxiv-cs-cl

A Spectral Phase Admissibility Certificate for Complex Linear Maps

arXiv:2609.02911v1 Announce Type: cross Abstract: The paper imports the Kontsevich Segal Witten criterion from quantum gravity into machine learning to evaluate complex linear maps Standard techniques

researcharxiv-cs-cl

A Two-Stage Forecasting System for CPU Workload Prediction in Private Clouds

arXiv:2609.03457v1 Announce Type: new Abstract: Accurate cloud resource forecasting is essential for proactive resource provisioning, maintaining Quality of Service (QoS), and reducing operational cos

applicationsarxiv-cs-lg

Accelerating Masked Image Generation by Learning Controlled Latent Dynamics

arXiv:2602.23996v2 Announce Type: replace Abstract: Masked Image Generation Models (MIGMs) have achieved great success, yet their efficiency is hampered by the multiple steps of bi-directional attenti

researcharxiv-cs-cv

Accountable AI with Grounded, Faithful, Consistent, Actionable Rationales: A Case Study in Clinical Trial Matching with VERDICT

arXiv:2609.03366v1 Announce Type: new Abstract: Accountability means a decision can be examined, justified, and contested. LLMs make this hard: fluent output may be ungrounded, incomplete, or unfaithf

safetyarxiv-cs-cl

Hardware

Achieving Extreme Efficiency through Specialized GPU Kernel Generation

This research details an agentic framework that automatically generates custom GPU kernels and rigorously validates them. By integrating automated synthesis and thorough performance testing, the syste

hardwaredatabricks

Active learning for data-driven reduced models of parametric differential systems with Bayesian operator inference

model-releasesarxiv-cs-lg

arXiv:2601.00038v2 Announce Type: replace-cross Abstract: This work develops an active learning framework to intelligently enrich data-driven reduced-order models (ROMs) of parametric dynamical system

Adapting to Evolving Requirements: Agentic AI for Retail Supply Chain Operations

model-releasesarxiv-cs-ai

arXiv:2609.03860v1 Announce Type: new Abstract: Retail supply chain operations rely on coupled decision modules that must adapt as requirements evolve. LLMs offer a natural-language interface for this

Adaptive Resolving Methods for Markov Decision Processes with Function Approximations

arXiv:2505.12037v2 Announce Type: replace Abstract: Learning the optimal policy for Markov decision process problems (MDPs) from samples is a fundamental problem in online and data-driven decision-mak

safetyarxiv-cs-lg

Adaptive Vision-Language Grasping via Composable Foundation Priors and Generalizable Grasp Synthesis

arXiv:2609.04096v1 Announce Type: cross Abstract: This paper proposes AdaRoboVLG, a task-adaptive Vision-Language-Grasp (VLG) framework that supports generalizable grasp synthesis across different rob

safetyarxiv-cs-ai

Advances in Machine Learning for Directed Evolution: A Five-Year Retrospective

arXiv:2609.03046v1 Announce Type: cross Abstract: The last five-plus years have seen many protein engineering disciplines transformed by advances in machine learning (ML), but the same cannot be said

Agentic-SDLC requires continuous learning

Agentic-SDLC requires continuous learning 🎙️ New episode of The Agentic Review is live. @itamar_mar and @nnennahacks sit down with Emilie Schario, VP of Engineering at @anacondainc, to dive into AI RO

agentsitamar-friedman--x

AgentRM: Enhancing Agent Generalization with Reward Modeling

model-releasesarxiv-cs-ai

arXiv:2502.18407v2 Announce Type: replace-cross Abstract: Existing LLM-based agents have achieved strong performance on held-in tasks, but their generalizability to unseen tasks remains poor. Hence, s

Air-Ground Collaborative Vision-and-Language Navigation via Shared Bird's-Eye Maps

arXiv:2609.03483v1 Announce Type: cross Abstract: Air-ground collaborative Vision-and-Language Navigation (VLN) pairs an unmanned aerial vehicle (UAV) with a global bird's-eye view and an unmanned gro

agentsarxiv-cs-ai

Alignment-Free Text-Audiobox for Voice Dubbing and Full-Duplex Dialogue Synthesis

model-releasesarxiv-cs-cl

arXiv:2609.03992v1 Announce Type: new Abstract: We present Alignment-Free Text-Audiobox (Text-AB), a unified framework for high-quality voice dubbing and full-duplex dialogue synthesis. Building on a

ALRA: Adaptive Local Relational Alignment for Logit-Based Pre-training Distillation of Autoregressive Language Models

model-releasesarxiv-cs-cl

arXiv:2609.03355v1 Announce Type: cross Abstract: Logit-based knowledge distillation for autoregressive language models usually aligns teacher and student next-token distributions over the entire voca

Industry

Also in podcast format

Also in podcast format New episode: the gripping tale of what is happening in China’s AI companies right now. Are they coming for Open AI and Anthropic? How did they get this good, despite US export c

industrykai-fu-lee--x

American open weights/source is a national security imperative.

American open weights/source is a national security imperative. Exciting day for NVIDIA and @huggingface. Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enab

safetyollama--x

An Adversarial Zero-Shot Learning Approach for Anomaly Detection in Multivariate IoT Traffic Data

arXiv:2609.03505v1 Announce Type: new Abstract: Anomaly detection in Internet of Things (IoT) networks presents unique challenges due to the diversity of devices, lack of labeled data, and domain vari

applicationsarxiv-cs-lg

An Ensemble-Based Self-Taught Learning Approach for Parking Space Classification Under Limited Data

arXiv:2609.03258v1 Announce Type: new Abstract: Parking spot classification is a fundamental task in intelligent transportation systems, yet most deep learning approaches rely on large amounts of anno

safetyarxiv-cs-cv

Analysis of Prompt Engineering for Drug Toxicity Prediction

arXiv:2609.03635v1 Announce Type: new Abstract: Clinical trials in the UK can cost up to {pounds}1.3 million, with approximately 90% drug failure rate. Toxicity is a major contributing factor in drug

researcharxiv-cs-ai

'• And as a scientist, it’s disappointing that we don’t (yet) know much about how the system actually works.' This is so true.

'• And as a scientist, it’s disappointing that we don’t (yet) know much about how the system actually works.' This is so true. Hot take on OpenAI GPT-6 Astra*, with a challenge to @gdb’s claims about

safetygary-marcus--x

Anisotropic View Distance Metric for High-Dimensional Data: Theory, Geometry, and Fast Computation

arXiv:2206.05215v2 Announce Type: replace Abstract: K-Means clustering algorithm is one of the most commonly used clustering algorithms because of its simplicity and efficiency. K-Means clustering alg

Anonymization, Not Elimination: Utility-Preserved Speech Anonymization

arXiv:2604.17000v1 Announce Type: cross Abstract: The growing reliance on large-scale speech data has made privacy protection a critical concern. However, existing anonymization approaches often degra

researcharxiv-cs-ai

Another OpenAI rogue agent incident has been discovered: agents broke out, hijacked a German website, and turned it into a message board for…

Another OpenAI rogue agent incident has been discovered: agents broke out, hijacked a German website, and turned it into a message board for other agents. OpenAI officials 'learned of the incident wee

agentsgary-marcus--x

Answer to one of the most asked questions recently: how the acquisition will affect llama.cpp? Short answer: the project continues as-is. Fo…

model-releasesclem-delangue--x

Answer to one of the most asked questions recently: how the acquisition will affect llama.cpp? Short answer: the project continues as-is. Focus will still be: wide range of hardware support (even non-

Anthropic says Claude worked 'largely autonomously' over 11 days to formalize the proof of Fermat's Last Theorem in the Lean programming language (Anthropic)

Anthropic: Anthropic says Claude worked “largely autonomously” over 11 days to formalize the proof of Fermat's Last Theorem in the Lean programming language — We are sharing the first complete compute

model-releasestechmeme

Anthropic’s $2 trillion IPO puts powerful external trustees in spotlight

model-releasesars-technica

Anthropic’s planned initial public offering, potentially valuing the company at up to $2 trillion, will be examined under a novel governance model that places an external Long‑Term Benefit Trust (LTBT

AnyBox: Efficient Zero-Shot 9DoF Pose Estimation of Boxes for Robotic Manipulation

arXiv:2511.15884v2 Announce Type: replace-cross Abstract: Recovering the 9D pose of objects, both their 6D pose and 3D dimensions, under clutter and occlusion is a core requirement for warehouse autom

applicationsarxiv-cs-ai

Arabic Morphosyntactic Tagging and Dependency Parsing with Large Language Models

arXiv:2603.16718v2 Announce Type: replace Abstract: LLMs perform strongly across NLP, but their ability to produce explicit grammatical analyses remains unclear. Arabic provides a challenging testbed

researcharxiv-cs-cl

Architecting memory and storage in the AI era

applicationsmit-tech-review

The era of AI inference has arrived. Imagine a healthcare system analyzing millions of data points in real time to accelerate life-saving medical research, or an intelligent assistant instantly resolv

ARCOS: Zero-shot Boundary Localization for Corneal Layer Segmentation Across Optical Coherence Tomography Devices

arXiv:2609.03668v1 Announce Type: new Abstract: Accurate segmentation of corneal layers in optical coherence tomography (OCT) is essential for quantitative assessment of corneal morphology, including

researcharxiv-cs-cv

Artificial Analysis Coding Agent Index: GPT-6 Astra scored 67, roughly equal to Claude Opus 5, Fable 5, and Muse Spark 1.3, but trailing leader Fable 5.1's 70 (Artificial Analysis)

Artificial Analysis: Artificial Analysis Coding Agent Index: GPT-6 Astra scored 67, roughly equal to Claude Opus 5, Fable 5, and Muse Spark 1.3, but trailing leader Fable 5.1's 70 — Fable 5.1 in Claud

model-releasestechmeme

Artificial Intelligence for Energy Optimization in Data Centers

arXiv:2609.03716v1 Announce Type: new Abstract: Data centers are increasingly optimized by artificial intelligence and, at the same time, increasingly loaded by it. The literature treats these as two

safetyarxiv-cs-ai