Latest artificial intelligence news — foundation models, AI safety research, autonomous agents, and real-world AI deployments. Updated every 30 minutes from top AI publications.
Researchers proposed RAG-CT, a defense that detects malicious queries in Retrieval-Augmented Generation (RAG) systems by analyzing their entropy and margin distributions with a score-based detection method, according to …
A transformer-enhanced neural operator (TNO) predicted transonic compressor blade performance with lower error than state-of-the-art deep learning operators FNO and DeepONet, according to an arXiv paper (2609.16066v1) tr…
Researchers proposed a semantics-consistent tabular diffusion framework, described in arXiv paper 2609.16069v1, that uses large language models to extract intra-column semantics and inter-column symbolic rules from metad…
A new arXiv paper (2609.16245v1) introduces Metacognitive Steering, an inference-time controller that reads the cognitive regime of Kimi 2.6, a trillion-parameter mixture-of-experts model, and dynamically composes layer-…
A corpus of 2,507 head-to-head comparisons across 27 scientific disciplines from papers published between 2000 and early 2025 shows AI is not a universal replacement for existing scientific methods, according to a new ar…
Researchers proposed CLEAR, an agentic framework for cross-source evidence adjudication in large language models in medicine, detailed in arXiv paper 2609.16301v1. CLEAR independently generates candidate answers from thr…
A study posted to arXiv (2609.16493v1) proposes the TAISE framework, which repurposes AI weather forecasting models to generate coherent extreme weather sequences for catastrophe risk modeling at an order-of-magnitude lo…
Singapore's Skills and Workforce Development Agency (SWDA) opened a one-stop career centre, Connect by SWDA, on Wednesday (Sep 16) and launched a three-year SkillsFuture AI Subscription initiative giving Singaporeans age…
Researchers introduced MechReason, a benchmark of 12,000 question-answer pairs and 21,000 visual materials drawn from real mechanical engineering papers, to test multi-image, multi-hop reasoning in multimodal large langu…
Researchers introduced SceneBench, a benchmark of 966 photorealistic 3D scenes reconstructed with Gaussian Splatting and annotated with over 183K hierarchical nodes, built through a human-in-the-loop pipeline using rough…
Researchers proposed ReImaGin, a method that uses image generation models as a flexible visual reasoning mechanism for multimodal large language models, according to a new arXiv paper (2609.16409v1). Across six diverse v…
A new adaptive diffusion controller dynamically adjusts the number of denoising steps in text-to-image diffusion models based on input prompt complexity, reducing inference time while maintaining visual fidelity without …
Researchers introduced FLAT (Flexible-Length Aligned Transmodal representations), a pre-training framework that jointly optimizes a shared multimodal encoder with text-to-image and image-to-text decoders, mapping visual …
Researchers developed BrainVLM, a vision-language foundation model that classifies all 12 World Health Organization 2021 brain tumor types from preoperative multimodal MRI data, training on 40,043 individuals and validat…
Researchers introduced VideoMM, an adaptive macro-micro inference framework for video multimodal large language models that decouples region selection from detailed reasoning, according to an arXiv paper (arXiv:2609.1672…
A new arXiv paper (2609.16564v1) proposes a pre-generation triage layer for retrieval-augmented generation (RAG) pipelines that treats a source's material relationship to the query as query dependent, routing canonical q…
A research paper posted to arXiv introduces CoAdapt, an adaptive collaborative perception framework for Industrial IoT robotic swarms in which a Large Language Model acts as a runtime fusion controller that decides which…
Researchers introduced little m, an AI agent that combines a domain-specific knowledge repository with LLM-driven interaction to formulate industrial process control optimization models from unstructured natural language…
A new arXiv paper (2609.16752v1) introduces the Cognitive Field Network (CFN), a recurrent Transformer in which an organized hidden field re-enters subsequent inference via the update rule Phi_{n+1}=F_theta(X_{n+1},Phi_n…
Researchers proposed an Affect-Prototype-Conditioned Fusion (APCF) framework for open-vocabulary multimodal emotion recognition that handles incomplete and unsynchronized modal data, according to an arXiv paper (arXiv:26…