All entries

At Next, Google aims to dominate the dawning age of agentic AI

At Cloud Next this week in Las Vegas, Google made its case this week that it has all the pieces — literally the entire “stack” of technologies from chips to models to data management platforms — neede

agentssiliconangle

ATATA: One Algorithm to Align Them All

DGX agent

arXiv:2601.11194v2 Announce Type: replace Abstract: We suggest a new multi-modal algorithm for joint inference of paired structurally aligned samples with Rectified Flow models. While some existing me

safetyarxiv-cs-cv

24 Apr 2026

ATLAS: AI-Assisted Threat-to-Assertion Learning for System-on-Chip Security Verification

arXiv:2603.01170v2 Announce Type: replace-cross Abstract: This work presents ATLAS, an LLM-driven framework that bridges standardized threat modeling and property-based formal verification for System-

researcharxiv-cs-ai

ATOM: A Pretrained Neural Operator for Multitask Molecular Dynamics

arXiv:2510.05482v2 Announce Type: replace Abstract: Molecular dynamics (MD) simulations underpin modern computational drug discovery, materials science, and biochemistry. Recent machine learning model

researcharxiv-cs-lg

AtomicRAG: Atom-Entity Graphs for Retrieval-Augmented Generation

arXiv:2604.20844v1 Announce Type: cross Abstract: Recent GraphRAG methods integrate graph structures into text indexing and retrieval, using knowledge graph triples to connect text chunks, thereby imp

safetyarxiv-cs-ai

AttDiff-GAN: A Hybrid Diffusion-GAN Framework for Facial Attribute Editing

arXiv:2604.21289v1 Announce Type: new Abstract: Facial attribute editing aims to modify target attributes while preserving attribute-irrelevant content and overall image fidelity. Existing GAN-based m

safetyarxiv-cs-cv

Attention-based multiple instance learning for predominant growth pattern prediction in lung adenocarcinoma wsi using foundation models

arXiv:2604.21530v1 Announce Type: cross Abstract: Lung adenocarcinoma (LUAD) grading depends on accurately identifying growth patterns, which are indicators of prognosis and can influence treatment de

researcharxiv-cs-ai

AttentionBender: Manipulating Cross-Attention in Video Diffusion Transformers as a Creative Probe

arXiv:2604.20936v1 Announce Type: cross Abstract: We present AttentionBender, a tool that manipulates cross-attention in Video Diffusion Transformers to help artists probe the internal mechanics of bl

local-aiarxiv-cs-cv

AUDITA: A New Dataset to Audit Humans vs. AI Skill at Audio QA

model-releasesarxiv-cs-cl

arXiv:2604.21766v1 Announce Type: new Abstract: Existing audio question answering benchmarks largely emphasize sound event classification or caption-grounded queries, often enabling models to succeed

Industry

Autobots, assemble!

Elon Musk posted about Tesla's Optimus humanoid robot, likely announcing a development milestone or demonstrating capabilities of the autonomous robot project. The post uses the 'Autobots, assemble!'

industryelon-musk--x

Automated Annotation of Shearographic Measurements Enabling Weakly Supervised Defect Detection

arXiv:2512.06171v2 Announce Type: replace Abstract: Shearography is an interferometric technique sensitive to surface displacement gradients, providing high sensitivity for detecting subsurface defect

safetyarxiv-cs-cv

Automating Computational Reproducibility in Social Science: Comparing Prompt-Based and Agent-Based Approaches

arXiv:2602.08561v3 Announce Type: replace-cross Abstract: Reproducing computational research is often assumed to be as simple as rerunning the original code with provided data. In practice, missing pa

agentsarxiv-cs-cl

Industry

AWS inks multibillion-dollar AI infrastructure deal with Meta

Amazon Web Services Inc. has inked a multiyear deal to supply Meta Platforms Inc. with cloud infrastructure. Bloomberg reported today that the agreement is worth billions of dollars. The deal centers

industrysiliconangle

b8909

b8909 is an intermediate build release of llama.cpp, reflecting the project's practice of publishing multiple releases in a single day . llama.cpp is a C/C++ implementation enabling LLM inference with

b8913

b8913 is a release of llama.cpp, a C/C++ implementation for LLM inference . The release follows the project's rapid development cycle where multiple releases are published in a single day . This speci

b8916

Based on my search, I was unable to find the specific release page for b8916. However, I can provide a general summary based on what I found about nearby releases and llama.cpp's release patterns: b89

b8918

The search results don't contain specific details about release b8918. Based on the context from the source and other release information found, b8918 is an intermediate build version of llama.cpp, th

b8920

The search results do not contain specific information about the b8920 release. Based on the available information, b8920 is a build version from the llama.cpp project, which is an open-source C/C++ i

b8922

The search did not return specific information about the b8922 release. Based on the available information about llama.cpp's release cycle and naming convention, b8922 is an intermediate build release

b8924

B8924 is a release build number from the llama.cpp project, a C/C++ framework for efficient large language model inference on consumer hardware. The llama.cpp project publishes multiple releases in a

b8925

B8925 is an intermediate build release of llama.cpp, the C/C++ library for efficient large language model inference. Llama.cpp releases follow a continuous build cycle rather than traditional versioni

Back to Source: Open-Set Continual Test-Time Adaptation via Domain Compensation

arXiv:2604.21772v1 Announce Type: new Abstract: Test-Time Adaptation (TTA) aims to mitigate distributional shifts between training and test domains during inference time. However, existing TTA methods

researcharxiv-cs-cv

Back to the Future: The Role of Past and Future Context Predictability in Incremental Language Production

arXiv:2511.07752v3 Announce Type: replace Abstract: Contextual predictability shapes how we choose and encode words in production. The effects of a word's predictability given preceding or past contex

applicationsarxiv-cs-cl

BackPlay: Head-Only Look-Back Self-Correction for Diffusion Language Models

arXiv:2601.06428v3 Announce Type: replace Abstract: Diffusion Language Models (DLMs) decode multiple tokens in parallel, but aggressive multi-token decoding amplifies cross-token dependency errors and

researcharxiv-cs-lg

Tutorials

Basic syntax from speech: Spontaneous concatenation in unsupervised deep neural networks

arXiv:2305.01626v4 Announce Type: replace-cross Abstract: Computational models of syntax are predominantly text-based. Here we propose that the most basic first step in the evolution of syntax can be

tutorialsarxiv-cs-ai

Behavioral Consistency and Transparency Analysis on Large Language Model API Gateways

arXiv:2604.21083v1 Announce Type: cross Abstract: Third-party Large Language Model (LLM) API gateways are rapidly emerging as unified access points to models offered by multiple vendors. However, the

applicationsarxiv-cs-ai

Beyond Accuracy: A Stability-Aware Metric for Multi-Horizon Forecasting

model-releasesarxiv-cs-lg

arXiv:2601.10863v3 Announce Type: replace Abstract: Traditional time series forecasting methods optimize for accuracy alone. This objective neglects temporal consistency, in other words, how consisten

Beyond Expected Information Gain: Stable Bayesian Optimal Experimental Design with Integral Probability Metrics and Plug-and-Play Extensions

arXiv:2604.21849v1 Announce Type: cross Abstract: Bayesian Optimal Experimental Design (BOED) provides a rigorous framework for decision-making tasks in which data acquisition is often the critical bo

researcharxiv-cs-lg

Beyond N-gram: Data-Aware X-GRAM Extraction for Efficient Embedding Parameter Scaling

model-releasesarxiv-cs-cl

arXiv:2604.21724v1 Announce Type: new Abstract: Large token-indexed lookup tables provide a compute-decoupled scaling path, but their practical gains are often limited by poor parameter efficiency and

Beyond Pixels: Introspective and Interactive Grounding for Visualization Agents

model-releasesarxiv-cs-cl

arXiv:2604.21134v1 Announce Type: new Abstract: Vision-Language Models (VLMs) frequently misread values, hallucinate details, and confuse overlapping elements in charts. Current approaches rely solely

Beyond Single Plots: A Benchmark for Question Answering on Multi-Charts

model-releasesarxiv-cs-ai

arXiv:2604.21344v1 Announce Type: cross Abstract: Charts are widely used to present complex information. Deriving meaningful insights in real-world contexts often requires interpreting multiple relate

Beyond the Frame: Generating 360 Panoramic Videos from Perspective Videos

arXiv:2504.07940v3 Announce Type: replace Abstract: 360{eg} videos have emerged as a promising medium to represent our dynamic visual world. Compared to the 'tunnel vision' of standard cameras, their

researcharxiv-cs-cv

Biomedical systems biology workflow orchestration and execution with PoSyMed

arXiv:2604.20906v1 Announce Type: cross Abstract: The rapid growth of scientific software has created practical barriers for bioinformatics research. Although powerful statistical, artificial intellig

agentsarxiv-cs-ai

BioMiner: A Multi-modal System for Automated Mining of Protein-Ligand Bioactivity Data from Literature

model-releasesarxiv-cs-ai

arXiv:2604.21508v1 Announce Type: new Abstract: Protein-ligand bioactivity data published in the literature are essential for drug discovery, yet manual curation struggles to keep pace with rapidly gr

BiTDiff: Fine-Grained 3D Conducting Motion Generation via BiMamba-Transformer Diffusion

arXiv:2604.04395v2 Announce Type: replace Abstract: 3D conducting motion generation aims to synthesize fine-grained conductor motions from music, with broad potential in music education, virtual perfo

safetyarxiv-cs-cv

Bounding the Black Box: A Statistical Certification Framework for AI Risk Regulation

arXiv:2604.21854v1 Announce Type: new Abstract: Artificial intelligence now decides who receives a loan, who is flagged for criminal investigation, and whether an autonomous vehicle brakes in time. Go

safetyarxiv-cs-ai

Brazil's Finance Minister Dario Durigan says the country has blocked prediction market platforms and tightened derivatives rules to curb 'bet-like' products (Reuters)

Reuters: Brazil's Finance Minister Dario Durigan says the country has blocked prediction market platforms and tightened derivatives rules to curb “bet-like” products — Brazil has blocked prediction ma

applicationstechmeme

Breaking Bad: Interpretability-Based Safety Audits of State-of-the-Art LLMs

model-releasesarxiv-cs-lg

arXiv:2604.20945v1 Announce Type: cross Abstract: Effective safety auditing of large language models (LLMs) demands tools that go beyond black-box probing and systematically uncover vulnerabilities ro

🚨BREAKING: Hugging Face just open-sourced an AI intern that reads ML papers, trains models, and ships the final model for you. It’s called …

model-releasesclem-delangue--x

🚨BREAKING: Hugging Face just open-sourced an AI intern that reads ML papers, trains models, and ships the final model for you. It’s called ML Intern. And this is not another AI coding demo that prints

Breaking MCP with Function Hijacking Attacks: Novel Threats for Function Calling and Agentic Models

arXiv:2604.20994v1 Announce Type: cross Abstract: The growth of agentic AI has drawn significant attention to function calling Large Language Models (LLMs), which are designed to extend the capabiliti

agentsarxiv-cs-ai

Bridging Supervision Gaps: A Unified Framework for Remote Sensing Change Detection

arXiv:2601.17747v2 Announce Type: replace Abstract: Change detection (CD) aims to identify surface changes from multi-temporal remote sensing imagery. In real-world scenarios, Pixel-level change label

applicationsarxiv-cs-cv

Bridging the Training-Deployment Gap: Gated Encoding and Multi-Scale Refinement for Efficient Quantization-Aware Image Enhancement

arXiv:2604.21743v1 Announce Type: new Abstract: Image enhancement models for mobile devices often struggle to balance high output quality with the fast processing speeds required by mobile hardware. W

researcharxiv-cs-ai

Brief chatbot interactions produce lasting changes in human moral values

arXiv:2604.21430v1 Announce Type: new Abstract: Moral judgements form the foundation of human social behavior and societal systems. While Artificial Intelligence chatbots increasingly serve as persona

agentsarxiv-cs-ai

Tools

btw the hot skills of today become the posttrain targets of tomorrow

Skills that are currently in high demand in tech tend to become the focus of formal training and educational programs in the future, as the market evolves and best practices are codified. This reflect

toolsswyx--x

Build with DeepSeek V4 Using NVIDIA Blackwell and GPU-Accelerated Endpoints

model-releasesnvidia-developer

Developers can build with DeepSeek V4 through NVIDIA GPU-accelerated endpoints on build.nvidia.com, with hosted endpoints providing a fast way to prototype before moving to self-hosted deployment. Dee

Building a Precise Video Language with Human-AI Oversight

model-releasesarxiv-cs-ai

arXiv:2604.21718v1 Announce Type: cross Abstract: Video-language models (VLMs) learn to reason about the dynamic visual world through natural language. We introduce a suite of open datasets, benchmark

Building my own Agentic Environment from scratch, in Go, for sandbox-per-agent usage

The Reddit post discusses building a custom agentic environment in Go programming language, specifically designed to provide isolated sandbox environments for individual agents. This approach focuses

agentsr-ollama

Building Workforce AI Agents with Visier and Amazon Quick

In this post, we show how connecting the Visier Workforce AI platform with Amazon Quick through Model Context Protocol (MCP) gives every knowledge worker a unified agentic workspace to ask questions i

agentsaws-ml-blog