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An Empirical Study on Variance-based MC Dropout Uncertainty-Error Correlation in 2D Brain Tumor Segmentation

arXiv:2510.15541v2 Announce Type: replace-cross Abstract: Accurate brain tumor segmentation from MRI is vital for diagnosis and treatment planning. Although Monte Carlo (MC) Dropout is widely used to

researcharxiv-cs-cv

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Model Releases

An Enhanced Large Neighborhood Search Approach for the Capacitated Facility Location Problem with Incompatible Customers

DGX agent

arXiv:2605.28337v1 Announce Type: new Abstract: A new variant of the classic capacitated facility location problem, which considers incompatibilities between customers, has recently been introduced in

model-releasesarxiv-cs-ai

28 May 2026

Local Ai

An Evolutionary Approach for Designing Stable and Highly Expressible Low-Immunogenicity Therapeutic mRNA Sequences

arXiv:2605.27986v1 Announce Type: new Abstract: Messenger RNA (mRNA) sequences as therapeutics require optimized design to ensure efficient translation, structural stability, and minimal immunogenicit

local-aiarxiv-cs-cl

An LLM-Based Assistance System for Intuitive and Flexible Capability-Based Planning

arXiv:2605.28666v1 Announce Type: new Abstract: In modern industry, dynamic environments and the complexity of modular and reconfigurable resources require automated planning of process sequences. Cap

agentsarxiv-cs-ai

An Operator-Based Approach to STL

arXiv:2605.28092v1 Announce Type: new Abstract: Signal Temporal Logic (STL), has recently seen extensive development, owing to its rich expressivenes for autonomous planning and control. Nevertheless,

agentsarxiv-cs-ro

Applications

Analyzing Cancer Patients' Experiences with Embedding-based Topic Modeling and LLMs

arXiv:2601.12154v2 Announce Type: replace Abstract: This study investigates the use of neural topic modeling and LLMs to uncover meaningful themes from patient storytelling data, to offer insights tha

applicationsarxiv-cs-cl

Analyzing Quality-Latency-Resource Trade-offs in a Technical Documentation RAG Assistant Using LoRA Adaptation

arXiv:2605.28222v1 Announce Type: new Abstract: We study quality-latency-resource trade-offs in a documentation-grounded retrieval-augmented generation (RAG) system that uses Low-Rank Adaptation (LoRA

Hardware

and see, perhaps further reflection of the death of tokenmaxxing

and see, perhaps further reflection of the death of tokenmaxxing The price to rent an Nvidia H200 just collapsed from 7/hr to 4/hr in three weeks. A -40% drop in the cost of the single most strategic

hardwaregary-marcus--x

AndroidDaily: A Verifiable Benchmark for Mobile GUI Agents on Real-World Closed-Source Applications

model-releasesarxiv-cs-cv

arXiv:2605.27761v1 Announce Type: new Abstract: The rapid development of GUI foundation models and mobile GUI agents has spurred numerous evaluation benchmarks, yet most rely on simulated environments

Announcing the newest cohort of the Google for Startups Accelerator: Middle East, North Africa & Turkey

model-releasesgoogle-cloud-ai

Google’s mission is to organize the world’s information and make it universally accessible. In high-growth, technically ambitious markets like the Middle East, North Africa, and Türkiye (MENA-T), we f

Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization

arXiv:2605.28428v1 Announce Type: cross Abstract: Detecting subtle visual anomalies in images remains challenging, particularly when only normal samples are available a priori. Such unsupervised anoma

researcharxiv-cs-ai

Anthropic adds dynamic workflows to Claude Code, enabling hundreds of subagents to run in parallel for complex engineering tasks such as framework migrations (Claude)

Claude: Anthropic adds dynamic workflows to Claude Code, enabling hundreds of subagents to run in parallel for complex engineering tasks such as framework migrations — Early access users and teams ins

model-releasestechmeme

Industry

Anthropic raised a 65B Series H at a 965B post-money valuation, overtaking OpenAI's 852B valuation, and says its revenue run rate crossed 47B this month (New York Times)

New York Times: Anthropic raised a 65B Series H at a 965B post-money valuation, overtaking OpenAI's 852B valuation, and says its revenue run rate crossed 47B this month — Anthropic raised 65 billion i

industrytechmeme

Anthropic says it expects Mythos-class models to be available to all customers 'in the coming weeks' following the development of stronger safeguards (Madison Mills/Axios)

Madison Mills / Axios: Anthropic says it expects Mythos-class models to be available to all customers “in the coming weeks” following the development of stronger safeguards — Anthropic released Claude

model-releasestechmeme

ANTHROPIC VALUATION: 965B WALMART VALUATION: 940B ANTHROPIC REVENUE: 20B WALMART REVENUE: 725B BUT AI IS NOT A BUBBLE, RIGHT?

ANTHROPIC VALUATION: 965B WALMART VALUATION: 940B ANTHROPIC REVENUE: 20B WALMART REVENUE: 725B BUT AI IS NOT A BUBBLE, RIGHT? Media JUST IN: Anthropic raises 65B at 965B valuation 70% chance of IPO th

safetygary-marcus--x

AOE: Exhaustive Out-of-Distribution Detection via Recalibrating Outlier Labels

arXiv:2605.28021v1 Announce Type: new Abstract: Out-of-distribution (OOD) detection is essential for deploying machine learning models in open-world and safety-critical scenarios, where test inputs ma

safetyarxiv-cs-lg

Apple Intelligence Foundation Language Models

arXiv:2407.21075v2 Announce Type: replace Abstract: We present foundation language models developed to power Apple Intelligence features, including a ~3 billion parameter model designed to run efficie

Apple working to cram massive Gemini model into iPhone to power new Siri

model-releasesars-technica

Apple is reportedly working to distill knowledge and skills from Google's larger Gemini model into a smaller version that could run on iPhones. The new Siri will use a tiered system where simple tasks

Applications of temporal graph learning for predicting the dynamics of biological systems

arXiv:2605.28659v1 Announce Type: new Abstract: Biological foundation models have shown strong performance in single-cell representation learning by applying transformer architectures directly to gene

researcharxiv-cs-lg

Applications

Architecture-driven Shift: towards a lightweight selector for capturing the trends of logit shift

arXiv:2605.27469v1 Announce Type: cross Abstract: Continual Learning (CL) is a practical paradigm to utilize power of deep pre-trained neural networks, but which pre-trained model has a better ability

applicationsarxiv-cs-ai

Are Large Pre-trained Vision Language Models Effective Construction Safety Inspectors?

model-releasesarxiv-cs-cv

arXiv:2508.11011v2 Announce Type: replace Abstract: Construction safety inspections typically involve a human inspector identifying safety concerns on-site. With the rise of powerful Vision Language M

Are We Truly Innovating? A Qualitative and Quantitative Study of Originality in AI Research Papers

arXiv:2602.06054v3 Announce Type: replace Abstract: Assessing originality in AI research is arguably the most consequential yet least reliable step in peer review. Reviewer judgments of originality re

researcharxiv-cs-cl

AREA: Attribute Extraction and Aggregation for CLIP-Based Class-Incremental Learning

arXiv:2605.28809v1 Announce Type: new Abstract: Class-Incremental Learning (CIL) is important in building real-world learning systems. In CLIP-based CIL, the model performs classification by comparing

safetyarxiv-cs-cv

Argument Quality Assessment with Large Language Models: A Pairwise Bradley-Terry Approach

arXiv:2605.28313v1 Announce Type: new Abstract: Large Language Models (LLMs) have demonstrated remarkable capabilities in tasks related to reasoning and judgment. However, assessing the quality of arg

Ariel-ML: Computing Parallelization with Embedded Rust for Neural Networks on Heterogeneous Multi-core Microcontrollers

model-releasesarxiv-cs-lg

arXiv:2512.09800v2 Announce Type: replace Abstract: Low-power microcontroller (MCU) hardware is currently evolving from single-core architectures to predominantly multi-core architectures. In parallel

Artemis: Structured Visual Reasoning for Perception Policy Learning

arXiv:2512.01988v2 Announce Type: replace Abstract: Recent reinforcement-learning frameworks for visual perception policy usually incorporate intermediate reasoning chains expressed in natural languag

safetyarxiv-cs-cv

As agent harnesses become more standardized, we’re going to see a lot more “managed agent services”

As agent harnesses become more standardized, we’re going to see a lot more “managed agent services” Managed Deep Agents lets you create a managed Deep Agent without standing up a custom agent server.

agentsharrison-chase--x

Tools

As agents use more context, input tokens have become the majority of price-equivalent token costs.

As AI agents handle increasingly complex tasks with extended context windows, the cost structure of LLM usage has shifted such that input tokens now represent the majority of price-equivalent expenses

toolscursor--x

As Anthropic launches Claude Opus 4.8, it raises $65B in new funding

model-releasessiliconangle

Anthropic PBC today introduced a new large language model, Claude Opus 4.8, that’s significantly better than its predecessor at complex coding tasks. The company announced the LLM alongside another ma

Local Ai

As Google plans to build a $15B AI data center hub in India's Visakhapatnam, locals and rights groups are raising concerns over 'extremely high' water stress (Wall Street Journal)

Wall Street Journal: As Google plans to build a $15B AI data center hub in India's Visakhapatnam, locals and rights groups are raising concerns over “extremely high” water stress — Developing-world na

local-aitechmeme

Asana acquires StackAI, a no-code platform for building AI agents, for 75M as part of Asana's broader AI pivot; PitchBook: StackAI raised ~20M (Russell Brandom/TechCrunch)

Russell Brandom / TechCrunch: Asana acquires StackAI, a no-code platform for building AI agents, for 75M as part of Asana's broader AI pivot; PitchBook: StackAI raised ~20M — Asana has acquired the wo

agentstechmeme

Asana acquires StackAI to run AI agent workflows across enterprise systems

Work management software company Asana Inc. today said it has completed the acquisition of StackAI Inc., a no-code platform for building artificial intelligence agents, in a deal that adds the ability

agentssiliconangle

Ask Now, Use Later: Benchmarking the Proactivity Gap in Long-Lived LLM Agents

arXiv:2605.28108v1 Announce Type: new Abstract: A long-lived LLM agent, such as OpenClaw, earns its value by acting on a user's preferences and constraints across sessions, not just the current reques

Asking Is Not Enough: Protocol Sensitivity in LLM Confidence Calibration

arXiv:2605.27752v1 Announce Type: new Abstract: LLM confidence calibration is often evaluated by comparing two signals: token-probability scores and verbalized confidence. These signals are sometimes

researcharxiv-cs-ai

AssertLLM2: A Comprehensive LLM Benchmark for Assertion Generation from Design Specifications

arXiv:2605.27472v1 Announce Type: cross Abstract: Assertion-based verification (ABV) is a cornerstone of modern hardware design, yet manually translating design intent into formal SystemVerilog Assert

Assessing Factual Music Comprehension in Large Audio Language Models

arXiv:2511.05550v2 Announce Type: replace-cross Abstract: Large audio language models (LALMs) leverage multimodal representations to generate open-ended answers to natural language queries about audio

ASTRA: Communication-Efficient Acceleration for Multi-Device Transformer Inference

arXiv:2505.19342v2 Announce Type: replace-cross Abstract: Multi-device inference can reduce Transformer latency by parallelizing computation. However, existing methods require high inter-device bandwi

Asynchronous Remote Sensing Time-Series Fusion for Cloud Removal and Anytime Reconstruction

model-releasesarxiv-cs-cv

arXiv:2605.27726v1 Announce Type: new Abstract: Frequent cloud cover severely limits the usability of Sentinel-2 (S2) optical time series for Earth surface monitoring. Sentinel-1 (S1) SAR provides all

AsyncTool: Evaluating the Asynchronous Function Calling Capability under Multi-Task Scenarios

arXiv:2605.27995v1 Announce Type: new Abstract: Large language model (LLM)-based agents have shown strong capabilities in using external tools to solve complex tasks. However, existing evaluations oft

ATLAS: All-round Testing of Long-context Abilities across Scales

arXiv:2605.28079v1 Announce Type: new Abstract: Long-context language models now advertise context windows up to millions of tokens, yet evaluations typically report a single length or a narrow task f

AtomComposer: Discovering Chemical Space from First Principles with Reinforcement Learning

arXiv:2605.28287v1 Announce Type: new Abstract: Discovering novel stable molecules without training data remains a grand scientific challenge. Current molecular generative models are trained on large,

agentsarxiv-cs-lg

Atomic Skills are the Prerequisite: When Reinforcement Learning Synthesizes Compositional Reasoning, and When It Only Amplifies

arXiv:2512.01970v3 Announce Type: replace Abstract: Does Reinforcement Learning (RL) merely amplify existing skills, or synthesize novel skills? We investigate this question through the lens of Comple

researcharxiv-cs-ai

Attention Projection Mixing with Exogenous Anchors

arXiv:2601.08131v4 Announce Type: replace Abstract: Cross-layer reuse of early attention projections can improve optimization and data efficiency, but it creates a structural conflict: the first layer

researcharxiv-cs-cl

Auditable Decision Models with Learned Abstention and Real-Time Steering

arXiv:2605.27768v1 Announce Type: new Abstract: Production AI systems often operate with incomplete, conflicting, or insufficient evidence. Forced classifiers collapse such cases into action labels, w

safetyarxiv-cs-ai

Auditing Stance Asymmetry in Generative Explanations

arXiv:2605.27988v1 Announce Type: new Abstract: Bias evaluation for language models has made substantial progress on bounded comparisons, such as overt derogation, stereotype association, or label-sen

safetyarxiv-cs-cl

Augmenting Attention with Exponentially Decaying Memory Improves Query-Aware KV Sparsity

model-releasesarxiv-cs-lg

arXiv:2605.28640v1 Announce Type: new Abstract: Efficient inference is critical for long-context language models, where attention computation and KV-cache access dominate the cost. Recent work RAT+, i

Applications

AURA: Asymptotically Optimal Uncertainty-Robust Replanning Algorithm for Kinodynamic Systems

arXiv:2605.27699v1 Announce Type: new Abstract: Sampling-based motion planners offer a practical and scalable approach to kinodynamic motion planning, notably for high-dimensional, underactuated, or n

applicationsarxiv-cs-ro

Industry

Autodesk agrees to buy MaintainX, a company focused on maintenance tools, in an all-cash deal that values MaintainX at $3.6B (Brody Ford/Bloomberg)

Brody Ford / Bloomberg: Autodesk agrees to buy MaintainX, a company focused on maintenance tools, in an all-cash deal that values MaintainX at 3.6B — Engineering software maker Autodesk Inc. has agree

industrytechmeme