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…
iARCS: Iterative Agentic RL for Controllable 3D Scene Generation
arXiv:2608.06161v2 Announce Type: replace Abstract: Synthetic 3D scene generation is increasingly used as a data source for computer vision and embodied…
Recursive Synthesis for Long-Horizon Terminal Tasks
arXiv:2608.05466v3 Announce Type: replace Abstract: High-quality long-horizon training data for terminal agents is expensive to produce, often costing…
Short-term load forecasting under EU-AI Act Requirements in Safety-Critical Environments: Results from a 41-day live challenge on the aggregated German transmission-grid load
arXiv:2608.05018v3 Announce Type: replace Abstract: Short-term load forecasting (STLF) plays a vital role in the electric power industry. It is relevant…
Microsoft kills off unsuccessful AI features while merging its separate Copilot apps
Microsoft is simplifying Copilot by combining its consumer and business apps, and dropping AI-generated podcasts, Group Chats, Deep Research, and its Mico…
CIDER: A Dataset of Contextual Disclosure Boundaries for Privacy Preference Alignment
arXiv:2608.09164v2 Announce Type: replace Abstract: Aligning large language models (LLMs) with human privacy preferences requires capturing individuals’…
Surrogate Substitution Preserves PHI Detectability: A Multi-Detector Equivalence Study
arXiv:2608.03172v3 Announce Type: replace Abstract: Structure-preserving de-identification replaces protected health information (PHI) with realistic…
AgenticCANN: Automated Ascend C Operator Generation via Knowledge-Augmented Agentic Evolution
arXiv:2607.26661v3 Announce Type: replace Abstract: Ascend C operator optimization is critical for NPU (Neural Processing Unit) inference performance but…
DiffImaginE: Imagine to Verify Entity Types with Diffusion
arXiv:2608.03025v3 Announce Type: replace Abstract: Multimodal named entity recognition (MNER) determines whether each candidate span and entity-type…
Do LLMs Know Their Vulnerable Scenarios?
arXiv:2607.23496v2 Announce Type: replace Abstract: Safety-aligned large language models are trained to refuse harmful requests, yet embedding the same…