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A Disturbance in the Force: Force Actuation on the RAVEN II Surgical Robot with Parallel Motor-Cable Units

arXiv:2608.06488v1 Announce Type: new Abstract: Difficulty in haptic feedback for surgical robots has been a long-term problem for decades. In recent years, learning-based force estimation from robot

researcharxiv-cs-ro

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A downside with VLM-based parsing is that they’re generally slower than text-based heuristic approaches. As a result they add latency to any…

DGX agent

A downside with VLM-based parsing is that they’re generally slower than text-based heuristic approaches. As a result they add latency to any ad-hoc file processing *in-the agent loop* (e.g. if you upl

model-releasesjerry-liu--x

10 Aug 2026

A Finite E-Group of Nilpotency Class Three

arXiv:2608.07275v1 Announce Type: cross Abstract: A group is an E-group if every element commutes with each of its endomorphic images. Caranti asked whether a finite E-group can have nilpotency class

A foundation-model approach to pediatric headache classification from rs-fMRI

arXiv:2608.07287v1 Announce Type: new Abstract: Headache is the most common neurological disorder in children and substantially affects quality of life. We investigated whether resting-state functiona

A Haptic Robot Finger Designed for Guqin Instrument Playing

arXiv:2608.07002v1 Announce Type: new Abstract: With the rapid advancement of humanoid robotics and embodied intelligence technologies, numerous musical instrument-playing robots have emerged in recen

researcharxiv-cs-ro

Industry

A look at London's King's Cross, which transformed from a seedy area into an AI hub after DeepMind arrived in 2016, and now hosts OpenAI, Meta, Wayve, and more (Dominic-Madori Davis/TechCrunch)

Dominic-Madori Davis / TechCrunch: A look at London's King's Cross, which transformed from a seedy area into an AI hub after DeepMind arrived in 2016, and now hosts OpenAI, Meta, Wayve, and more — Wha

industrytechmeme

Local Ai

A MARL Centered Reference Architecture for Large Language Model Augmentation in Smart Manufacturing

arXiv:2608.07148v1 Announce Type: new Abstract: Modern manufacturing imposes six coupled demands on adaptive control: local decisions with global consequences, partial observability, nonstationarity,

local-aiarxiv-cs-ai

A Multi-Agent Framework for Automated Coarse-Grained Molecular Dynamics of Polymers

arXiv:2608.06694v1 Announce Type: new Abstract: Coarse-grained (CG) molecular dynamics extends polymer simulation beyond the scales accessible to all-atom (AA) methods, but bottom-up CG modeling is la

A Physics-Inspired Classical Digital Twin of Cortical Dynamics: A Band-Stratified Metriplectic Port-Hamiltonian Neural Network Learned from Brain-Computer-Interface EEG

arXiv:2607.10439v3 Announce Type: replace-cross Abstract: We present a physics-inspired classical digital twin of brain-computer- interface (BCI) data: a graph neural network constrained to a band-str

A Picture is Worth a Thousand Tokens: How Vision Language Models Cut AI Energy Costs While Improving Accuracy

arXiv:2608.07427v1 Announce Type: new Abstract: LLM inference accounts for over 90% of AI operational energy, scaling directly with input token count---a critical inefficiency for telecom network anal

A Practical Evaluation Method for Long-Form Simultaneous Speech-to-Speech Translation

arXiv:2606.15059v2 Announce Type: replace Abstract: Simultaneous speech-to-speech translation (SimulS2ST) enables real-time cross-lingual communication, but existing evaluation has focused largely on

safetyarxiv-cs-cl

A primer on optimal transport for causal inference with observational data

arXiv:2503.07811v3 Announce Type: replace-cross Abstract: The theory of optimal transportation has developed into a powerful and elegant framework for comparing probability distributions, with wide-ra

Industry

A profile of Founders Pledge, which has recorded $4B in pledges from founders so far in 2026, as the AI industry now accounts for a third of its lifetime total (Joel Khalili/Wired)

Joel Khalili / Wired: A profile of Founders Pledge, which has recorded $4B in pledges from founders so far in 2026, as the AI industry now accounts for a third of its lifetime total — A new generation

industrytechmeme

A proximal subgradient method for nonconvex stochastic optimization under the Kurdyka-{L}ojasiewicz condition

arXiv:2608.05460v1 Announce Type: cross Abstract: This work introduces a proximal stochastic subgradient method for minimizing the sum of an expected cost, whose integrand is potentially nonsmooth and

A Rate Separation for Agnostic Direct Sums

arXiv:2608.06951v1 Announce Type: new Abstract: Hanneke, Moran, and Waknine ite{HannekeMoranWaknine2024} asked how the agnostic PAC learning curve of the direct sum C^r depends on the single-instance

A Transferable Autologistic Model for Predicting Rare Failures in Heterogeneous Equipment

arXiv:2608.06695v1 Announce Type: new Abstract: Predicting failures before they occur remains a major challenge in predictive maintenance, particularly when failures are rare, when equipment of the sa

Accounting Graph Transformer for Short-History Multi-KPI Forecasting in Small Businesses

arXiv:2608.07037v1 Announce Type: cross Abstract: Small businesses often have only 12-24 months of accounting history, yet planning and risk workflows require coordinated forecasts across financial st

Achievable 253 t/s - unsloth/Muse Glimmer 30B UD-Q5_K_M on a 5090

model-releasesr-localllama

Benchmarked Muse Glimmer 30B on my RTX 5090 (32GB), 262k context, UD-Q5_K_M + dflash-kquant + mmproj. Workload Stock master + DFlash ngram-simple PR #26842 + DFlash Code patch 78 t/s 57 t/s 220-253 t/

Addressable Memory for Video World Models

model-releasesarxiv-cs-cv

arXiv:2608.07408v1 Announce Type: new Abstract: We study visual persistence in interactive video world models. These models rely on a Key-Value (KV) cache as a growing visual memory to carry forward p

ADIAS: Automated Design of Interactive Agentic Systems

arXiv:2608.06410v1 Announce Type: new Abstract: Automated agent design improves agent harnesses through iterative revision, evaluation, and feedback summarization. Existing methods are largely candida

Advanced capabilities require strong safeguards. That’s why access is limited to approved defenders, with additional controls and monitoring…

Advanced capabilities require strong safeguards. That’s why access is limited to approved defenders, with additional controls and monitoring for higher-risk cybersecurity work. https://openai.com/inde

model-releasesopenai--x

Adversarial Causal Intervention Falsification

arXiv:2608.06427v1 Announce Type: new Abstract: Generative models can reproduce an observational distribution while encoding an incorrect causal structure. We study a sequential game in which a struct

Applications

AdvTiles: Physical Adversarial Camouflage Clothing against Person Detectors via Learnable Tiles

arXiv:2608.06801v1 Announce Type: new Abstract: Physical adversarial attacks against person detectors have evolved from localized patches to full-body textures. However, achieving both visual naturaln

applicationsarxiv-cs-cv

AfriNLLB: Efficient Translation Models for African Languages

arXiv:2602.09373v2 Announce Type: replace Abstract: In this work, we present AfriNLLB, a series of lightweight models for efficient translation from and into African languages. AfriNLLB supports 15 la

researcharxiv-cs-cl

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks

arXiv:2608.07335v1 Announce Type: cross Abstract: Recent advancements in deep reinforcement learning have increasingly favored simplified, highly parallelized paradigms. Notably, the Parallelized Q-Ne

Agent Memory Distillation: Empowering Small LLM Agents with Hierarchical Teacher Memory

arXiv:2608.07169v1 Announce Type: new Abstract: Memory systems have shown promise for improving agent performance, but their potential remains largely unexplored for small language models, which strug

Agentic AI: User Empowerment or Enclosure?

arXiv:2608.06510v1 Announce Type: cross Abstract: Agentic AI promises a more flexible form of digital agency: systems that can act on users' behalf, from filtering content to negotiating prices to sel

Agentic Planning for Symbolic Execution

arXiv:2608.06397v1 Announce Type: cross Abstract: Symbolic execution seeks to explore feasible program paths, yet a practical run may exhaust its resources while much program behaviour remains unreach

AgentPatch: Coarse-to-Fine Weak-Task Repair for Merging Agentic Multimodal Large Language Models

arXiv:2608.06699v1 Announce Type: new Abstract: Agentic multimodal large language models (MLLMs) extend multimodal perception and reasoning with planning, tool use, and interaction in dynamic environm

AI for science needs reasoning, not just data

Every few decades, someone announces that science has reached its end. In 1903, the revered physicist Albert Michelson wrote that the “facts of physical science have all been discovered.” In the 1980s

researchmit-tech-review

AI-native market research automation startup Echovane raises $1M

Agentic artificial intelligence startup Echovane Inc. said today it has closed on a 1 million pre-seed funding round to accelerate the development of its AI-native market research platform. Titan Capi

agentssiliconangle

An Agentic Hybrid Top-Down and Bottom-Up Approach to Knowledge Graph Generation

arXiv:2608.07023v1 Announce Type: cross Abstract: Organizing thousands of unstandardized, multilingual expertise declarations is a persistent challenge for Human Resources (HR) platforms, directly imp

An AI4AI Framework for Visual Token Pruning

arXiv:2608.07193v1 Announce Type: cross Abstract: Visual-token pruning can substantially reduce the inference cost of multimodal large language models (MLLMs), yet existing methods largely rely on fix

safetyarxiv-cs-cv

An End-to-End Agent Auditing Engine

arXiv:2608.07346v1 Announce Type: new Abstract: With the rapid advancement of large language models (LLMs), harnesses have become essential infrastructure for deploying agents across a wide range of d

An Exploratory Evaluation of LLM-Assisted Rewriting of Moderate-Complexity Financial Sentences for DisCoCat-Based Sentiment Analysis

model-releasesarxiv-cs-cl

arXiv:2608.07439v1 Announce Type: new Abstract: Quantum natural language processing (QNLP) provides a grammar-aware framework for text modeling, and Distributional Compositional Categorical (DisCoCat)

Anthropic details an unreleased Claude model's attempt to solve the Riemann hypothesis; it didn't solve it but 'unexpectedly' made strides on a related problem (Anthropic)

Anthropic: Anthropic details an unreleased Claude model's attempt to solve the Riemann hypothesis; it didn't solve it but “unexpectedly” made strides on a related problem — Recently, a member of staff

model-releasestechmeme

Anthropic, Macquarie, and Singapore's GIC form Theseus Infrastructure to develop AI computing sites; Anthropic commits to cover consumer electricity price hikes (Mark Bergen/Bloomberg)

Mark Bergen / Bloomberg: Anthropic, Macquarie, and Singapore's GIC form Theseus Infrastructure to develop AI computing sites; Anthropic commits to cover consumer electricity price hikes — Anthropic PB

model-releasestechmeme

Anthropic makes Claude Sonnet 5's introductory pricing permanent at 2/1M input tokens and 10/1M output tokens, canceling a planned September 1 increase (Claude/@claudeai)

Claude / @claudeai: Anthropic makes Claude Sonnet 5's introductory pricing permanent at 2/1M input tokens and 10/1M output tokens, canceling a planned September 1 increase — We're making Claude Sonnet

model-releasestechmeme

AnyTrack: Unifying Visual Object Tracking with Any Modalities

arXiv:2608.06773v1 Announce Type: new Abstract: Visual object tracking aims to continuously locate specific targets within sequential frames, evolving from single-modal methods to multi-modal ones. Ho

researcharxiv-cs-cv

ArchEGraph: A Large-Scale Graph Dataset for Geometry-Topology-Physics Aligned Building Energy Modeling

model-releasesarxiv-cs-lg

arXiv:2608.06772v1 Announce Type: new Abstract: Accurate estimation of building energy use is essential for achieving carbon neutral and sustainable buildings. To better understand the influence of de

Are Visual Place Recognition Models Recognizing Places or Conditions? Distractor-Augmented Evaluation and Condition Suppression

arXiv:2608.06847v1 Announce Type: cross Abstract: Long-term Visual Place Recognition (VPR) is typically evaluated by matching queries from one condition against a database from another. Crowdsourced m

researcharxiv-cs-cv

Artificial Intelligence Can Match Domain Experts in Evidence Extraction and Critical Appraisal of Microbial Oncogenesis Research Publications

arXiv:2608.07250v1 Announce Type: cross Abstract: Confirmed oncogenic microbes contribute significantly to cancer burden. Identifying novel microbial oncogenicity could yield strategies that will redu

Ask-E: An Environment for Calibrated Question Generation

arXiv:2608.06933v1 Announce Type: cross Abstract: Today, we improve models by training and evaluating them on problems at the frontier of their abilities. Creating such problems is itself a demanding

Applications

Assessing AI-generated music detection in real-world broadcast monitoring

arXiv:2608.07359v1 Announce Type: cross Abstract: The proliferation of AI-generated music in broadcast media raises concerns about transparency and fair compensation, but reliable detection under real

applicationsarxiv-cs-ai

Applications

AtlasVLA: Persistent World-Ego State Modeling for Vision-Language-Action Models

arXiv:2608.06729v1 Announce Type: cross Abstract: While Vision-Language-Action (VLA) models have advanced embodied AI, their fundamentally reactive paradigm severely limits performance in partially ob

applicationsarxiv-cs-cv

Authoring and Management of Transparent Research Integrity Assessments of Randomised Clinical Trial Publications Using LLM-assisted Tools and Provenance Knowledge Graphs

arXiv:2608.07202v1 Announce Type: new Abstract: Systematic reviews of Randomised Controlled Trials (RCTs) are routinely used as evidence for clinical care guidelines. Such evidence has to meet high re

AutoIntervene: Calibrated Intervention for Action-Chunking Imitation Learning Policies

arXiv:2608.07065v1 Announce Type: cross Abstract: Action-chunking visuomotor policies learn from demonstrations and improve temporal consistency by predicting short action sequences rather than single

safetyarxiv-cs-ai

Automated item evaluation: Predicting item acceptance and rejection using LLM-generated critiques

arXiv:2608.06609v1 Announce Type: new Abstract: Automated item evaluation (AIE) refers to the use of computational methods to assess item quality without requiring manual expert review or field testin

safetyarxiv-cs-ai