arXiv:2502.17666v5 Announce Type: replace-cross Abstract: Existing offline in-context reinforcement learning (ICRL) methods have predominantly relied on…
Liquid AI Releases LFM2.5-VL-3B: A 3B Vision-Language Model That Reads Screens, Grounds Objects, and Calls Tools On-Device
Liquid AI released LFM2.5-VL-3B, a 3.1B-parameter vision-language model built for on-device deployment. It averages 80.7 on ScreenSpot-v2 and lifts…
Cueless EEG imagined speech for subject identification: dataset and benchmarks
arXiv:2501.09700v2 Announce Type: replace-cross Abstract: Electroencephalogram (EEG) signals have emerged as a promising modality for biometric…
Deepseek ships improved V4 Pro, open-sources its agent software, and raises API prices
Deepseek has moved its flagship V4-Pro out of the testing phase and released its agent software, Harness v0.1, under the MIT license. API prices are going…
Enhancing In-Hospital Mortality Prediction Using Multi-Representational Learning with LLM-Generated Expert Summaries
arXiv:2411.16818v2 Announce Type: replace-cross Abstract: To evaluate a multi-representational framework in which large language model (LLM)-generated…
Corey Spencer, GM and GVP of AI at UKG – Interview Series
Corey Spencer is Group Vice President and General Manager of Product Management for AI & Platform at UKG. He leads product strategy and innovation across…
The Impact of Generative AI on Collaborative Open-Source Software Development: Evidence from GitHub Copilot
arXiv:2410.02091v4 Announce Type: replace-cross Abstract: Generative artificial intelligence (AI) facilitates content production and enhances ideation,…
Nutrition Data Infrastructure for the AI Era: Operationalizing FAIR for Agent-Mediated Research
arXiv:2608.10363v2 Announce Type: replace Abstract: AI agents can accelerate nutrition research, but their analyses inherit the identity, semantic, and…
OpenAI appoints Dali Rajic as Chief Revenue Officer
OpenAI appoints Dali Rajic as Chief Revenue Officer to lead its global revenue organization and help businesses realize the full value of AI.
MBA: Multimodal Benchmark and Agents for Real-World Business Ideation
arXiv:2608.11616v2 Announce Type: replace Abstract: Agentic systems powered by large language models (LLMs) have opened new opportunities for business…
Monitor on-premises and multi-cloud AI agents with AgentCore Observability
Set up Amazon Bedrock AgentCore Observability for AI agents running outside AWS: on-premises, on GCP, on Azure, or on developer machines. This walkthrough…
Long-Horizon AI Research for Grothendieck Constant: A Case Study in Human-AI Mathematical Collaboration
arXiv:2608.11195v2 Announce Type: replace Abstract: AI agents are increasingly used in mathematics research, but it is often unclear how to use them…
Accelerating M&A due diligence with Amazon Bedrock AgentCore
Learn how to build a multi-agent M&A due diligence system on Amazon Bedrock AgentCore. This post walks through a reference architecture that combines…
Rule of Thumb: Explaining Artificial Intelligence Systems using Partial Information
arXiv:2608.10766v2 Announce Type: replace Abstract: Explainable Artificial Intelligence (XAI) seeks to explain how an Artificial Intelligence (AI) system…
Amazon Quick for Microsoft 365: Agentic AI where you work
Amazon Quick is now available directly inside Microsoft Word, Excel, PowerPoint, and Outlook. These extensions bring connected data access and agentic…
OEIS Open: How many conjectures can language models turn into theorems?
arXiv:2608.11941v2 Announce Type: replace Abstract: We construct OEIS Open, a benchmark based on 492 open mathematical conjectures from the OEIS,…
AI News Brief Hourly Summary 2026-08-15 05h : 13 posts
13 posts published in the last hour 02:32Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models 02:32iARCS: Iterative Agentic RL for Controllable 3D Scene Generation 02:32Recursive Synthesis for Long-Horizon Terminal Tasks 02:31Short-term load forecasting under…
Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
arXiv:2608.09696v3 Announce Type: replace Abstract: Predicting the answer to interventional “what if” questions — the outcome of an action never taken…