Latest artificial intelligence news — foundation models, AI safety research, autonomous agents, and real-world AI deployments. Updated every 30 minutes from top AI publications.
Tech CEOs including Anthropic's Dario Amodei, OpenAI's Sam Altman and xAI's Elon Musk are calling for greater government oversight of artificial intelligence, but President Donald Trump dismissed efforts to limit the tec…
A study posted to arXiv proposes a hybrid Temporal Convolutional Network (TCN)-Transformer model to predict the probability of collision (PoC) expected in the next Conjunction Data Message (CDM) update for the same close…
Researchers introduced SPICE (Simple Polysemantic Feature Interpretation via Clustering-based Explanation), a framework for analyzing polysemanticity in deep vision architectures, detailed in arXiv paper 2609.13198v1. SP…
Researchers introduced ReCAST (Reward Credit ASsignment across Timesteps), a method for per-reward, timestep-dependent credit assignment in diffusion reward fine-tuning, detailed in arXiv paper 2609.13425v1. ReCAST uses …
A new analysis method called Elo-per-token measures how large language model agents allocate test-time compute as they revise solutions, use tools, explore alternatives, and decide when to stop, addressing the difficulty…
Researchers released CVSS-X, a synthetic speech-to-speech translation corpus that translates English into 28 target languages across 12 language families, comprising roughly 240,000 parallel speech pairs per language and…
Researchers proposed LabAgent, a reproduce-and-discovery harness that uses AI agents to preserve and extend a laboratory's research methods, according to an arXiv paper (2609.13437v1). LabAgent ranked first over commerci…
A new arXiv paper introduces Continual Search, an iterative framework for automated root-cause attribution (RCA) in long-horizon AI agent failures, reporting that it improves GPT-5.5's F1 score by more than 40%, from 0.3…
A multi-agent supply chain analytics system described in arXiv paper 2609.13561v1 achieved 90% accuracy while cutting input token usage roughly fourfold compared with a single-agent baseline, according to the paper's aut…
Researchers introduced Asclepius, an adaptive agent scaffolding with a self-evolving harness, externalized clinical skills library, and three isolated subagents, which improved critical-action correctness by 22% (p = 0.0…
The FedV-KGQA poster paper reports that federated fusion across vertically partitioned knowledge graphs recovers most of the accuracy of a centralized system, while a single silo recovers little. The work, presented as a…
Researchers proposed GeoSkill, an experience-driven hierarchical skill learning framework for geospatial agents, detailed in arXiv paper 2609.13667v1. GeoSkill combines a Hierarchical Skill Bank, split into a Planning Sk…
Researchers introduced MACE, a Multi-Agent Candidate Event acquisition method that uses evidence-specialized LLM agents to refine event structure before linking, according to a new arXiv paper (arXiv:2609.13670v1). MACE …
A new arXiv survey (2609.13731v1) synthesizes 206 foundational studies and regulatory standards into a systems-security reference framework for trustworthy agentic AI, formalizing the general agent architecture as a stat…
Researchers introduced Abstract-LoRA, a single-image style transfer method that trains lightweight LoRA adapters on specific U-Net blocks in diffusion models, according to an arXiv paper (arXiv:2609.13239v1). Building on…
ArtSociety, a multi-agent framework that coordinates heterogeneous multimodal experts with two training-free controllers, achieved an Overall Score of 0.8870 on the official AffectiveArt Multidimensional Art Emotion Unde…
A new arXiv paper (2609.13251v1) proposes a subject clarity outpainting framework that combines vision-language model (VLM)-guided semantic conditioning with multiscale wavelet supervision to preserve subject detail when…
A structured temporal video reasoning pipeline combining a discrete EventGraph, a continuous EventField, and a human-readable EventGlyph view achieved 0.98 overall accuracy on a calibrated EPIC-KITCHENS subset of 10 vide…
A new arXiv paper (2609.13262v1) proposes a holistic framework for 3D Gaussian Splatting scene extrapolation and interpolation that replaces the error-prone generate-reconstruct-shift cycle with an independent camera vie…
A multi-agent framework integrating planning, tool calling, observation, and verification lets zero-shot LLM agents match reinforcement learning agents on long-horizon agricultural management tasks under the same weather…