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arXiv:2609.12787v1 Announce Type: new Abstract: Polarization image fusion combines the stable luminance and structural information of the total- intensity image S0 with the material-sensitive details

local-aiarxiv-cs-cv

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LGFN: Lightweight Gated RGB-Polarization Fusion with Modality-Availability Conditioning for Camouflaged Object Detection

DGX agent

arXiv:2609.12798v1 Announce Type: new Abstract: Camouflaged object detection (COD) is an important engineering task in intelligent optical perception, but it remains challenging when targets closely r

model-releasesarxiv-cs-cv

14 Sept 2026

LifeMem: Enabling Lifelong Experience Reuse for LLM Agents

arXiv:2609.12655v1 Announce Type: new Abstract: Large language model agents are expected to continuously adapt to new tasks and environments over their lifetime by reusing past experience. However, ex

agentsarxiv-cs-cl

Limits of LLM Text Detectors in Education

arXiv:2508.08096v2 Announce Type: replace Abstract: Students increasingly use the assistance of large language models (LLMs) in their academic writing. While slight assistance (e.g., grammar and style

Linear Exponential Quadratic Gaussian Covariance Steering

arXiv:2609.12463v1 Announce Type: cross Abstract: We formulate and analyze the linear exponential quadratic Gaussian (LEQG) covariance steering problem in continuous time over a given deadline (finite

Live now: our Harness Engineering Track from AI Engineer World's Fair 2026. Ports, proofs, kill switches, and what is left of an agent when …

Live now: our Harness Engineering Track from AI Engineer World's Fair 2026. Ports, proofs, kill switches, and what is left of an agent when you remove the model. Thesis: when an agent breaks in produc

agentsswyx--x

LLM-BabyBench: Can Language Models Plan in Worlds They Can Simulate?

arXiv:2505.12135v2 Announce Type: replace-cross Abstract: When an interactive benchmark reports a single success rate for a language-model agent, it is rarely clear what that number measures. A failur

LLM Compression by Block Removal with Constrained Binary Optimization

arXiv:2602.00161v3 Announce Type: replace-cross Abstract: In this paper, we formulate the compression of large language models (LLMs) by optimally deleting transformer blocks (``block removal'') as a

LLM-Enhanced Dual-Branch Learning for Large-Scale Multi-Label Text Classification

arXiv:2609.12915v1 Announce Type: new Abstract: Large-scale multi-label text classification assigns a small subset of relevant labels to each document from a vocabulary containing thousands or tens of

researcharxiv-cs-cl

Local Edits, Global Ripples: Replay-Informed Policy Adaptation for Workflow Synthesis

arXiv:2609.12127v1 Announce Type: new Abstract: Prompt-policy editing offers a practical way to improve agents that synthesize executable workflows without updating the underlying model. However, pers

London-based Jack & Jill, which offers Jack, an AI agent for job seekers, and Jill, an agent for companies, raised a 40M Series A, after raising 20M in 2025 (Chris Metinko/Axios)

Chris Metinko / Axios: London-based Jack & Jill, which offers Jack, an AI agent for job seekers, and Jill, an agent for companies, raised a 40M Series A, after raising 20M in 2025 — Jack & Jill, a Lon

agentstechmeme

Look Before You Leap: Pre-Action Verification for LLM Agents

arXiv:2609.11957v1 Announce Type: new Abstract: An LLM agent acts on the world by emitting actions: shell commands to run, edits to apply. A wrong action does not always fail loudly; it can fail silen

LoRA-RC: Reservoir Computing with Low-Rank Adaptation

arXiv:2609.12327v1 Announce Type: cross Abstract: Reservoir computing (RC) trains only a linear readout over a fixed recurrent layer, making it fast and data-efficient for online prediction. However,

Lumina-OmniLV: A Unified Multimodal Framework for General Low-Level Vision

arXiv:2504.04903v3 Announce Type: replace Abstract: We present Lunima-OmniLV (abbreviated as OmniLV), a universal multimodal multi-task framework for low-level vision that addresses over 100 sub-tasks

researcharxiv-cs-cv

Machine Learning-Based Classification of Jhana Advanced Concentrative Absorption Meditation Using 7 Tesla Functional Magnetic Resonance Imaging

arXiv:2602.13008v2 Announce Type: replace Abstract: Introduction: Jhana advanced concentrative absorption meditation (ACAM-J) involves profound changes in consciousness, making its neural correlates i

applicationsarxiv-cs-lg

Tutorials

Manage end-user OAuth consent for AI agents with Amazon Bedrock AgentCore

Amazon Bedrock AgentCore Identity now offers a Consent portal, a managed web experience and session binding endpoint for AgentCore Gateway. This post walks through provisioning a portal, configuring G

tutorialsaws-ml-blog

MARE: Multimodal Alignment and Reinforcement for Explainable Deepfake Detection via Vision-Language Models

arXiv:2601.20433v4 Announce Type: replace Abstract: Deepfake detection is a widely researched topic that is crucial for combating the spread of malicious content, with existing methods mainly modeling

safetyarxiv-cs-cv

MAxBench: A Multinomial Concept Recovery Benchmark

arXiv:2609.13072v1 Announce Type: cross Abstract: Fine-grained control of language model behaviors (e.g., steering) is among the more actionable outcomes of interpretability research. For binary conce

maybe aidan was right and other companies are also starting to realize this, ZDR means nothing

maybe aidan was right and other companies are also starting to realize this, ZDR means nothing SITUATION DETECTED: Nvidia, Palantir, and Booz Allen Hamilton are restricting or eliminating the use of A

hardwarecohere--x

Mayor Mamdani just torched Trump's government for turning a blind eye to AI threats: 'Like many Americans across the country, the news comin…

Mayor Mamdani just torched Trump's government for turning a blind eye to AI threats: 'Like many Americans across the country, the news coming out of this technology in recent days and weeks has been i

safetygary-marcus--x

MCRL2: Multi-resource Cross-attention-based Representation Learning-augmented Reinforcement Learning for Cloud Microservice Scheduling

arXiv:2609.13048v1 Announce Type: new Abstract: Efficient microservice scheduling is crucial for maintaining load balance across nodes in data centers and ensuring high quality of service. However, ac

applicationsarxiv-cs-lg

Measuring Pragmatic Influence in Large Language Model Instructions

arXiv:2602.21223v2 Announce Type: replace Abstract: It is not only what we ask large language models (LLMs) to do that matters, but also how we ask them. Phrases like ``This is urgent'' or ``As your s

researcharxiv-cs-cl

Meddies-PII: A Multilingual Framework for Personally Identifiable Information Extraction in Clinical De-identification

arXiv:2609.12544v1 Announce Type: new Abstract: Clinical de-identification relies on accurately identifying personally identifiable information (PII). However, manually annotated datasets are costly t

MedSNIP: Building and Benchmarking Snippet-Level Granularity for Medical Fact Verification

arXiv:2609.12884v1 Announce Type: new Abstract: A medical claim's correctness often depends not on the claim alone, but on the clinical structure around it. A claim may require a lab reference range,

Membership Inference via Pairwise Likelihood Ratios

arXiv:2609.12367v1 Announce Type: cross Abstract: Membership inference attacks (MIAs) are the standard tool for auditing the privacy risks of machine learning models. Given a query point, an MIA aims

researcharxiv-cs-lg

MGAvatar: Mesh-Bound Gaussians for Head Avatar Geometry and Appearance Modeling

arXiv:2609.12850v1 Announce Type: new Abstract: Accurate head modeling requires a stable yet expressive geometric representation. Existing Gaussian-based head avatars commonly rely on parametric templ

researcharxiv-cs-cv

Michael Burry is saying exactly what i have been saying, for ages. The AI industry better hope we are both wrong

Michael Burry is saying exactly what i have been saying, for ages. The AI industry better hope we are both wrong Breaking: Michael Burry says OpenAI and Anthropic are faking the AI warnings due to slo

safetygary-marcus--x

Microsoft says ‘people matter more than AI’ following safety concerns

Microsoft is publishing a 37-page 'humanist AI code of conduct' today, amid growing safety concerns over AI model progress. Anthropic CEO Dario Amodei called for a coordinated slow down of AI developm

safetythe-verge-ai

MInTRL: Off-policy Intervention can boost On-policy RL

arXiv:2609.12419v1 Announce Type: new Abstract: Reinforcement learning with verifiable rewards is typically performed on-policy, keeping training data close to the current policy but limiting learning

safetyarxiv-cs-lg

Mission Performance: Automatic and Adaptive Race Pace Progression for Autonomous Racing

arXiv:2609.12292v1 Announce Type: new Abstract: In this paper, we describe the Mission Performance module implemented for a fully autonomous racing car to automatically manage the longitudinal, latera

safetyarxiv-cs-ro

MMGR: Multi-Modal Generative Reasoning Benchmark and Evaluation

arXiv:2512.14691v3 Announce Type: replace Abstract: Modern multimodal generative models can synthesize visually compelling images and videos, but it remains unclear whether this visual fluency reflect

MoPA: Coordinated Mobile Manipulation via Subsystem-Specific Perception Alignment

model-releasesarxiv-cs-cv

arXiv:2609.12081v1 Announce Type: cross Abstract: Mobile manipulation requires perceptual evidence at different spatial scales for base motion and arm control, while the two action modalities remain k

MP-Bench: Evaluating Voice Agents as a Multiparty Conversation Participant

arXiv:2609.13076v1 Announce Type: cross Abstract: Conversational voice agents have advanced significantly, offering increasingly natural human-machine interactions through both cascaded and end-to-end

MPT: Missing Prototype Tracking via Barycentric Reconstruction in Vehicular Federated Learning

arXiv:2609.12771v1 Announce Type: cross Abstract: Cross-vehicle federated learning enables vehicles to collaboratively improve perception models while keeping locally collected driving data private. H

researcharxiv-cs-cv

Multi-Objective Agent-Based Model Predictive Controller for Plug-and-Play Vehicle Control

arXiv:2609.12108v1 Announce Type: new Abstract: Functional integration is a growing trend in vehicle control, often involving the coordination of multiple controllers to achieve various objectives sim

agentsarxiv-cs-ro

Multimodal Floorplan Encoding: Learning Dense Modality-Invariant Representations

arXiv:2609.12723v1 Announce Type: new Abstract: Floorplans arise in many forms, from vector CAD drawings to raster renderings and sensor-derived density maps. This heterogeneity makes it difficult to

safetyarxiv-cs-cv

MUST SEE: Amazing moment as President Trump calls Nvidia CEO Jensen Huang while he's on stage at the All-In Summit. @POTUS on AI Doomerism: …

MUST SEE: Amazing moment as President Trump calls Nvidia CEO Jensen Huang while he's on stage at the All-In Summit. @POTUS on AI Doomerism: “I'm telling you, it's all a hoax… and we're not going to le

hardwareelon-musk--x

Nonlinear Dimensionality Reduction Techniques for Bayesian Optimization

arXiv:2510.15435v2 Announce Type: replace-cross Abstract: Bayesian optimisation (BO) enables sample-efficient global optimisation of expensive black-box functions but remains challenging in high dimen

Not All Speech Is Intent: Adaptive Self-Correcting Inference Layer for Post-ASR False Wake-Up

arXiv:2609.12469v1 Announce Type: new Abstract: False wake-up activations remain a persistent challenge in conversational AI. Speech phonetically similar to a device's wake word can produce a syntacti

NOVA-GS: Noise-Aware View-Consistent Gaussian Splatting for Low-Light Novel View Synthesis

arXiv:2609.12682v1 Announce Type: new Abstract: Reconstructing 3D scenes under real-world low-light conditions remains challenging due to severe sensor noise, low signal-to-noise ratios, and degraded

applicationsarxiv-cs-cv

Nuance Labs, which builds low-latency AI avatars that can have face-to-face conversations, raised a $50M Series A led by Lightspeed, with Nvidia participating (Shubhangi Goel/Business Insider)

Shubhangi Goel / Business Insider: Nuance Labs, which builds low-latency AI avatars that can have face-to-face conversations, raised a 50M Series A led by Lightspeed, with Nvidia participating — A sta

hardwaretechmeme

Nvidia and Booz Allen Hamilton limit Fable use as Anthropic doesn't guarantee zero data retention; source: Palantir hasn't made Fable available via its software (The Information)

The Information: Nvidia and Booz Allen Hamilton limit Fable use as Anthropic doesn't guarantee zero data retention; source: Palantir hasn't made Fable available via its software — As paranoia rises ov

hardwaretechmeme

Local Ai

Nvidia announces the RTX Pro 5500 Blackwell Workstation Edition, offering comparable specs to the RTX 5090 but with 84GB of GDDR7 memory, vs. RTX 5090's 32GB (Zhiye Liu/Tom's Hardware)

Zhiye Liu / Tom's Hardware: Nvidia announces the RTX Pro 5500 Blackwell Workstation Edition, offering comparable specs to the RTX 5090 but with 84GB of GDDR7 memory, vs. RTX 5090's 32GB — The GeForce

local-aitechmeme

Nvidia expands CUDA-Q platform to support fault-tolerant quantum processors

Nvidia Corp. said today it’s tackling one of the major headaches for developers of quantum applications with the launch of a new orchestration layer within its open-source CUDA-Q platform. The announc

hardwaresiliconangle

OA-NBV: Occlusion-Aware Next-Best-View Planning for Human-Centered Active Perception on Mobile Robots

arXiv:2603.11072v2 Announce Type: replace Abstract: We naturally step sideways or lean to see around the obstacle when our view is blocked, and recover a more informative observation. Enabling robots

applicationsarxiv-cs-ro

Observation-Anchored Selective Assimilation for Longitudinal Tumor-State Proxy Forecasting in Post-Treatment Glioma

arXiv:2609.12435v1 Announce Type: new Abstract: Post-treatment MRI in patients with glioma provides serial observations for updating patient-specific tumor-state proxy estimates, but variable appearan

researcharxiv-cs-lg

Offline Reinforcement Learning for Wind Farm Control: A Wind Tunnel Study under Dynamic Wind Directions

arXiv:2609.12905v1 Announce Type: new Abstract: This paper addresses the wind farm power maximization problem in the presence of wind direction changes. Specifically, a model-free Modified Twin Delaye

OK, let me irritate everyone for a moment ... The non cynical view here is that the labs are trying to navigate impending, unsophisticated f…

OK, let me irritate everyone for a moment ... The non cynical view here is that the labs are trying to navigate impending, unsophisticated federal regulation and a 'high strung', well financed doomer

safetyyohei-nakajima--x