Machine learning news — deep learning, reinforcement learning, neural architecture search, diffusion models, and new ML frameworks and libraries.
A developer compiled FFmpeg from source with NVENC/NVDEC hardware acceleration on an NVIDIA Jetson AGX Orin 64GB running Ubuntu 22.04 LTS and JetPack 6.2.2 (CUDA 12.6). The custom build offloads video encoding and decodi…
Neurometric AI launched an automated token engineering platform and raised $4 million in a pre-seed round from investors including Betaworks, ex/ante, and Jason Calacanis. The platform optimizes AI model calls, reducing …
Topos, an open-source tool from Krv-Labs, evaluates code quality by mapping programs to structural graphs and calculating metrics for simplicity, composability, and security. It aims to address the bottleneck of human co…
An automotive engineer faces 26-hour design iterations for CFD simulations of a side mirror, motivating a new generation of AI tools like PhysIQ that aim to accelerate physics simulation. This primer explains the basics …
Robust.AI selected Aptiv PLC's intelligent perception systems, including the Aptiv PULSE sensor, for its Gen 3 Carter collaborative mobile robot. The sensor fuses radar and vision using machine learning to improve reliab…
Revolut has developed PRAGMA, a transformer-based banking foundation model trained on 40 billion events from 25 million users, achieving a 64.7% improvement in fraud recall and up to 130% uplift in credit scoring metrics…
A Walmart software engineer published InfiniteDiffusion, an independent paper accepted to SIGGRAPH 2026, introducing a new approach to infinite generation with diffusion models and the world's first learned procedural te…
The softmax function, essential to modern AI systems like GPT, originated from Ludwig Boltzmann's 19th-century work on thermodynamics, where he derived the exponential form to maximize entropy in gas molecules. The same …
Researchers introduced Autodata, a method enabling AI agents to act as data scientists that build high-quality synthetic training and evaluation data. The approach, including a practical implementation called Agentic Sel…
Capital One appointed Prem Natarajan, former head of Alexa AI at Amazon, as its Chief Scientist to lead AI research and deployment in financial services. The bank aims to solve domain-specific challenges like real-time f…
Red Alice AI released the first official benchmark of its Version 2 architecture, reporting a 200x performance gain in the RedTensor engine. The upgrade introduces a PyTorch-backed TorchTensor backend with unified flat i…
A developer building a passive AI meeting assistant discovered that their speech recognition model was hallucinating the phrase 'Thank you' during applause, laughter, and silence. The model, trained on real-world audio w…
Poindexter shipped several improvements on June 24, 2026, including wrapping DeployCheckoutSync in a VBS helper to suppress flashing terminal windows on Windows. The team folded embedding hygiene jobs into a declarative …
Immunai announced a discovery collaboration with Boehringer Ingelheim valued at up to $15 million through 2027. The partnership will apply Immunai's single-cell AI platform to identify T-cell targets for immuno-oncology …
UN Women warned that AI systems reproduce historical gender stereotypes, citing a study of 133 AI systems where 44 percent exhibited gender bias. The warning, issued ahead of the UN Global Dialogue on AI Governance, high…
Amazon SageMaker AI now supports NVIDIA Blackwell GPUs with P6-B200 instances, enabling optimized training for large AI models through expanded memory and new precision formats. The integration allows larger batch sizes,…
ByteDance's open-source SeedVR2 video restoration model is now deployable on Amazon SageMaker AI, enabling scalable super resolution for low-resolution video libraries. The solution uses a three-tier AWS architecture wit…
A new open-source tool called mlx-chronos provides a standardized benchmark suite and community leaderboard for comparing local LLM inference engines on Apple Silicon Macs. The tool runs reproducible benchmarks, generate…
Prefill/decode disaggregation separates the two phases of LLM inference—prefill (compute-bound) and decode (memory-bound)—onto different GPUs to avoid the performance compromise of running both on the same hardware. The …
A developer built an Arxiv scraper on Apify that automatically monitors new machine learning research papers by keyword. The tool supports scheduled runs, structured output, and easy integration with platforms like Slack…