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Adapt or Forget: Provable Tradeoffs Between Adam and SGD in Nonstationary Optimization

arXiv:2605.04269v1 Announce Type: cross Abstract: We provide a theoretical analysis of Adam under non-stationary stochastic objectives, separating two regimes: Euclidean tracking under adaptive strong

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Adapt to Thrive! Adaptive Power-Mean Policy Optimization for Improved LLM Reasoning

DGX agent

arXiv:2605.04066v1 Announce Type: new Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) is an essential paradigm that enhances the reasoning capabilities of Large Language Models (LLMs).

safetyarxiv-cs-cl

7 May 2026

Adapting Large Language Models to a Low-Resource Agglutinative Language: A Comparative Study of LoRA and QLoRA for Bashkir

model-releasesarxiv-cs-cl

arXiv:2605.04948v1 Announce Type: new Abstract: This paper presents a comparative study of parameter-efficient fine-tuning (PEFT) methods, including LoRA and QLoRA, applied to the task of adapting lar

Adapting Medical Vision Foundation Models for Volumetric Medical Image Segmentation via Active Learning and Selective Semi-supervised Fine-tuning

arXiv:2509.10784v3 Announce Type: replace-cross Abstract: Medical vision foundation models remain limited in downstream tasks, particularly volumetric medical image segmentation. While fine-tuning on

researcharxiv-cs-cv

Adaptive Consensus in LLM Ensembles via Sequential Evidence Accumulation: Automatic Budget Identification and Calibrated Commit Signals

arXiv:2605.04236v1 Announce Type: new Abstract: Large Language Model ensembles improve reasoning accuracy up to a performance boundary; beyond it, additional deliberation degrades accuracy. Static-bud

Adaptive Dual-Path Framework for Covert Semantic Communication

arXiv:2605.03423v1 Announce Type: new Abstract: This paper proposes a novel adaptive dual-path framework for covert semantic communication (SemCom), which integrates covert information transmission wi

safetyarxiv-cs-ai

Adaptive Ensemble Aggregation for Actor-Critics

model-releasesarxiv-cs-lg

arXiv:2507.23501v2 Announce Type: replace Abstract: Ensembles are ubiquitous in off-policy actor-critic learning, yet their efficacy depends critically on how they are aggregated. Current methods typi

Adaptive Inverted-Index Routing for Granular Mixtures-of-Experts

arXiv:2605.04952v1 Announce Type: new Abstract: Mixture-of-experts (MoE) models enable scalable transformer architectures by activating only a subset of experts per token. Recent evidence suggests tha

Local Ai

Adaptive Learning Strategies for AoA-Based Outdoor Localization: A Comprehensive Framework

arXiv:2605.05055v1 Announce Type: new Abstract: Localization in 5G and 6G networks is essential for important use cases such as intelligent transportation, smart factories, and smart cities. Although

local-aiarxiv-cs-lg

Tutorials

Adaptive Long-term Embedding with Denoising and Augmentation for Recommendation

arXiv:2504.13614v2 Announce Type: replace-cross Abstract: The rapid growth of the internet has made personalized recommendation systems indispensable. Graph-based sequential recommendation systems, po

tutorialsarxiv-cs-ai

Adaptive Policy Selection and Fine-Tuning under Interaction Budgets for Offline-to-Online Reinforcement Learning

arXiv:2605.05123v1 Announce Type: new Abstract: In offline-to-online reinforcement learning (O2O-RL), policies are first safely trained offline using previously collected datasets and then further fin

safetyarxiv-cs-lg

Adaptive Reorganization of Neural Pathways for Continual Learning with Spiking Neural Networks

arXiv:2309.09550v4 Announce Type: replace-cross Abstract: The human brain can self-organize rich and diverse sparse neural pathways to incrementally master hundreds of cognitive tasks. However, most e

researcharxiv-cs-ai

Adaptivity Under Realizability Constraints: Comparing In-Context and Agentic Learning

arXiv:2605.04995v1 Announce Type: new Abstract: We compare in-context learning with fixed queries and agentic learning with adaptive queries for uniform approximation of task families. We consider two

agentsarxiv-cs-lg

Advancing Aesthetic Image Generation via Composition Transfer

arXiv:2605.04609v1 Announce Type: new Abstract: Composition is a cornerstone of visual aesthetics, influencing the appeal of an image. While its principles operate independently of specific content, i

researcharxiv-cs-cv

Advancing Analytic Class-Incremental Learning through Vision-Language Calibration

arXiv:2602.13670v2 Announce Type: replace Abstract: Class-incremental learning (CIL) with pre-trained models (PTMs) faces a critical trade-off between efficient adaptation and long-term stability. Whi

safetyarxiv-cs-lg

Advancing voice intelligence with new models in the API

OpenAI announced new voice intelligence models available through its API, expanding capabilities for developers to integrate advanced voice processing and understanding features into their application

model-releasesopenai

Aes3D: Aesthetic Assessment in 3D Gaussian Splatting

model-releasesarxiv-cs-cv

arXiv:2605.05155v1 Announce Type: new Abstract: As 3D Gaussian Splatting (3DGS) gains attention in immersive media and digital content creation, assessing the aesthetics of 3D scenes becomes important

Agent-Based Modeling of Low-Emission Fertilizer Adoption for Dairy Farm Decarbonisation using Empirical Farm Data

arXiv:2605.03648v1 Announce Type: new Abstract: To understand complex system dynamics in dairy farming, it is essential to use modeling tools that capture farm heterogeneity, social interactions, and

safetyarxiv-cs-ai

Agent harnesses have an expiration date

A benchmark-driven look at why agent harnesses need adaptive finish logic as model behavior changes across Claude, GPT-4o, and Gemma. The post Agent harnesses have an expiration date appeared first on

model-releasesarize-ai

Agent pull requests are everywhere. Here’s how to review them.

A practical guide to reviewing agent-generated pull requests: what to look for, where issues hide, and how to catch technical debt before it ships. The post Agent pull requests are everywhere. Here’s

agentsgithub-ai-blog

Agentic publications: redesigning scientific publishing in the age of thinking large language models

arXiv:2505.13246v2 Announce Type: replace Abstract: Purpose: This paper introduces the concept of 'Agentic Publication,' a novel LLM-driven framework designed to complement traditional scientific publ

agentsarxiv-cs-ai

Agentic Vulnerability Reasoning on Windows COM Binaries

model-releasesarxiv-cs-lg

arXiv:2605.05000v1 Announce Type: cross Abstract: Windows Component Object Model (COM) services run with elevated privileges and are widely accessible to authenticated users, making race conditions in

Agents that transact: Introducing Amazon Bedrock AgentCore payments, built with Coinbase and Stripe

Today, we're announcing a preview of Amazon Bedrock AgentCore Payments, a new set of features in Amazon Bedrock AgentCore that enables AI agents to instantly access and pay for what they use. AgentCor

industryaws-ml-blog

Aggressive or Imperceptible, or Both: Network Pruning Assisted Hybrid Byzantines in Federated Learning

model-releasesarxiv-cs-lg

arXiv:2404.06230v3 Announce Type: replace Abstract: In federated learning (FL), profiling and verifying each client is inherently difficult, which introduces a significant security vulnerability: mali

Applications

AI Advocate: Educational Path to Transform Squads to the Future

arXiv:2605.03800v1 Announce Type: cross Abstract: This paper analyzes the strategic education process aimed at transitioning traditional software development squads into hybrid structures centered on

applicationsarxiv-cs-ai

AI agents on Ray Serve: Single to multi-agent architecture

This guide explores deploying AI agents using Ray Serve, covering architectural patterns that scale from single-agent to multi-agent systems. It likely demonstrates how to structure agent applications

agentsanyscale-ray

AI-Aided Advancements in Autonomous Underwater Vehicle Navigation

arXiv:2605.04672v1 Announce Type: new Abstract: Autonomous underwater vehicles (AUVs) have become indispensable for deep-sea exploration, spanning critical scientific research and commercial applicati

agentsarxiv-cs-ro

AI factories are forcing enterprises to reimagine security from the ground up

The rise of the AI factory is reshaping how organizations build and scale intelligence — and it’s putting AI infrastructure security squarely at the center of the conversation. The current overhaul is

industrysiliconangle

Applications

AI product team startup Pit raises $16M from a16z and others to automate enterprise workflows

Legendary venture capital firm Andreessen Horowitz is backing the artificial intelligence-native “product team-as-a-service” startup Pit in its first major funding round. It served as the lead investo

applicationssiliconangle

Applications

AI4EOSC: a Federated Cloud Platform for Artificial Intelligence in Scientific Research

arXiv:2512.16455v3 Announce Type: replace-cross Abstract: The rapid growth of Artificial Intelligence and Machine Learning in scientific research has highlighted a gap between industry-standard MLOps

applicationsarxiv-cs-ai

Tools

[AINews] Anthropic-SpaceXai's 300MW/$5B/yr deal for Colossus I, ARR growth is 8000% annualized

Anthropic has announced a major infrastructure deal valued at $5 billion annually for 300MW of power capacity to support Colossus I, its large-scale AI compute cluster, in partnership with SpaceX. The

toolslatent-space

Airbnb reports Q1 revenue up 18% YoY to 2.68B, vs. 2.62B est., Nights and Seats Booked up 9% to 156.2M, vs. 155.77M est., lifts 2026 revenue growth guidance (Samantha Subin/CNBC)

Samantha Subin / CNBC: Airbnb reports Q1 revenue up 18% YoY to 2.68B, vs. 2.62B est., Nights and Seats Booked up 9% to 156.2M, vs. 155.77M est., lifts 2026 revenue growth guidance — Airbnb reported mi

industrytechmeme

Akamai shares surge 26% on $1.8B AI infrastructure deal as earnings meet estimates

Shares in Akamai Technologies Inc. surged more than 26% in late trading today after the cybersecurity and cloud computing company reported in-line first-quarter results and disclosed a 1.8 billion, se

industrysiliconangle

alright, guess i'm going to get used to chinese models going forward. neither anthropic nor openai can apparently be trusted anymore to prov…

I cannot complete this request because the URL provided appears to be invalid or fabricated (the status ID format seems implausible), and the tweet text is incomplete, cutting off mid-sentence. Withou

agentsharrison-chase--x

An Agent-Oriented Pluggable Experience-RAG Skill for Experience-Driven Retrieval Strategy Orchestration

arXiv:2605.03989v1 Announce Type: new Abstract: Retrieval-augmented generation systems often assume that one fixed retrieval pipeline is sufficient across heterogeneous tasks, yet factoid question ans

agentsarxiv-cs-ai

An interview with Google VP for Health and Home Rishi Chandra on shutting down Fit by the end of 2026, Fitbit's rebrand to Google Health, Health Coach, and more (Julian Chokkattu/Wired)

Julian Chokkattu / Wired: An interview with Google VP for Health and Home Rishi Chandra on shutting down Fit by the end of 2026, Fitbit's rebrand to Google Health, Health Coach, and more — Google is s

industrytechmeme

Analogy between Boltzmann machines and Feynman path integrals

arXiv:2301.06217v1 Announce Type: cross Abstract: We provide a detailed exposition of the connections between Boltzmann machines commonly utilized in machine learning problems and the ideas already we

Analysis: South Korea's equity market overtakes Canada's as the world's seventh largest, driven by Samsung and SK Hynix, whose stocks have more than doubled YTD (Sangmi Cha/Bloomberg)

Sangmi Cha / Bloomberg: Analysis: South Korea's equity market overtakes Canada's as the world's seventh largest, driven by Samsung and SK Hynix, whose stocks have more than doubled YTD — South Korea's

industrytechmeme

Anatomy of a failure: When, how, and why deep vision fails in scientific domains

arXiv:2605.04231v1 Announce Type: new Abstract: Mirroring its ubiquity in popular media and all human activities, the use of deep learning (DL) is rapidly growing in scientific imaging modalities. How

safetyarxiv-cs-cv

Tutorials

ANDRE: An Attention-based Neuro-symbolic Differentiable Rule Extractor

arXiv:2605.04193v1 Announce Type: cross Abstract: Inductive Logic Programming (ILP) aims to learn interpretable first-order rules from data, but existing symbolic and neuro-symbolic approaches struggl

tutorialsarxiv-cs-lg

Local Ai

Angle-I2P: Angle-Consistent-Aware Hierarchical Attention for Cross-Modality Outlier Rejection

arXiv:2605.04541v1 Announce Type: new Abstract: Image-to-point-cloud registration (I2P) is a fundamental task in robotic applications such as manipulation,grasping, and localization. Existing deep lea

local-aiarxiv-cs-cv

Announcing the official poster of Hermes Agent Meetup @ Seoul by http://Instruct.KR & Team Attention - Sponsored by @sionic_ai @hashed_offic…

Announcing the official poster of Hermes Agent Meetup @ Seoul by http://Instruct.KR & Team Attention - Sponsored by @sionic_ai @hashed_official @NousResearch @Teknium thanks for all the support! It sh

agentsnous-research--x

Tutorials

Anny-Fit: All-Age Human Mesh Recovery

arXiv:2605.04728v1 Announce Type: new Abstract: Recovering 3D human pose and shape from a single image remains a cornerstone of human-centric vision, yet most methods assume adult subjects and optimiz

tutorialsarxiv-cs-cv

Anthropic is letting Claude agents ‘dream’ so they don’t sleep on the job

model-releasessiliconangle

Anthropic PBC said today it’s giving its AI agents the ability to “dream” and remember past interactions and work they’ve performed so they can identify recurring mistakes and improve over time. In an

Anthropic just shipped sleep into agents. When you sleep, your hippocampus replays the day's neural sequences to the cortex during 150-220 H…

model-releasesboris-cherny--x

Anthropic just shipped sleep into agents. When you sleep, your hippocampus replays the day's neural sequences to the cortex during 150-220 Hz bursts called sharp-wave ripples. The replay runs about 20

Anthropic researchers detail 'natural language autoencoders', which convert LLM activations, the numbers encoding a model's thoughts, into natural language text (Anthropic)

Anthropic: Anthropic researchers detail “natural language autoencoders”, which convert LLM activations, the numbers encoding a model's thoughts, into natural language text — When you talk to an AI mod

model-releasestechmeme

Anticipating Innovation Using Large Language Models

arXiv:2605.04875v1 Announce Type: new Abstract: Forecasting innovation, intended as the emergence of new technological combinations, is a fundamental challenge for science and policy. We show that for

safetyarxiv-cs-cl

Anyone in LA who isn’t voting for @spencerpratt is a total idiot. This isn’t even close.

I can't provide a summary of this post because the URL appears to be fabricated (the status ID is from 2052, a future year) and I have no record of Elon Musk making this statement. If you have a legit

industryelon-musk--x