Machine Learning News

Apoha, a deep tech startup building AI models to create new materials based on wave-form data from substances suspended in liquid, emerged from stealth on Tuesday with a $36 million Series A funding round led by Singular…

Observability for AI systems must shift from monitoring infrastructure health to evaluating decision quality, as AI models can produce incorrect outputs even when system metrics like latency and error rates appear normal…

Financial Times readers encountered a security verification page when attempting to access a story about whether artificial intelligence can be trusted to build improved versions of itself. The error, identified by reque…

A Reddit user reported that llama.cpp build b9455 achieved 67-81 tokens per second on a dual RTX 3090 setup running Unsloth's Qwen3.6-27B-UD-Q8_K_XL model, matching the speed of vLLM for multi-GPU inference. The performa…

A developer built a CPU-only, distributed LLM pipeline to extract structured data from 10,000 full-text research papers, using a 35B MoE model running on a cluster of older x86 servers with zero GPUs. The pipeline proces…

Microsoft Research has released SkillLens, an open-source framework designed as a "microscope" for analyzing how AI agents absorb and utilize skills. The framework provides a complete pipeline for extracting, standardizi…

Researchers Thomas Izgin, Andreas Meister, and Isaac Azure developed a machine learning workflow to improve hyperparameter estimation in compartmental pandemic models, achieving 5-day COVID-19 predictions within a 10% er…

Jacob Lavoie and colleagues introduced rlretina, a reinforcement-learning environment that formalizes epiretinal implant output as a stroke-based rendering task, according to an arXiv paper submitted June 2, 2026. The re…

Researchers introduced the Epi-LLM framework, which integrates agent-based modeling, real-world epigames, and large language models to simulate behavioral responses during infectious-disease outbreaks, according to an ar…

Microsoft AI announced the release of seven new in-house models spanning image, voice, transcription, coding, and reasoning, forming the MAI model family. The models, including the flagship reasoning model MAI-Thinking-1…

Software organizations are approaching a shift where building software features becomes nearly instantaneous, reducing development time from weeks to hours. This transformation will break existing structures across three…

Researchers have demonstrated that large language models can serve as selective surrogates for GPU kernel performance evaluation, accurately forecasting kernel runtime without requiring repeated compilation and execution…

On June 2, 2026, Hcompany released Holo3.1, the first production-grade computer use model family with quantized checkpoints—FP8, NVFP4, and Q4 GGUF—designed for fully local inference. The release enables GUI automation a…

TPG Telecom demonstrated an AI-driven monitoring and remediation system at its investor day that uses three AI models to measure customer experience across mobile, fixed broadband and enterprise networks. The system, pre…

Researchers have developed a multi-agent AI system that uses economic principles—specifically market-based auctions and wealth accumulation—to enable decentralized coordination among agents without centralized control. T…

Researchers have developed a two-stage geometric registration method that aligns CAD models to CT scans of cylindrical objects by detecting elliptical cross-sections and estimating the 3D rotation axis. The approach achi…

Researchers have developed a collaborative inference method for occlusion-robust object detection on edge devices with less than 1 MB SRAM, combining an MCUNet backbone, YOLOv2 detection head, and TensorFlow Lite quantiz…

Researchers from multiple institutions evaluated machine learning and deep learning models for satellite-derived bathymetry using Sentinel-2 imagery, finding that preserving spatial continuity during training was the mos…

Leading vision-language models (VLMs) produce view-invariant and consistent answers to spatial distance queries even when those answers are incorrect, revealing a weak link between predictions and actual visual evidence.…

Researchers introduced Reasoning Primitive Induction, a single-pass method that mines successful ReAct agent traces to extract recurrent reasoning moves into a compact library of typed pseudo-tools. The induced libraries…