Machine learning news — deep learning, reinforcement learning, neural architecture search, diffusion models, and new ML frameworks and libraries.
ServiceNow, the AI platform company serving 85% of the Fortune 500, is hiring a Staff Data Engineer in Hyderabad, India, to build the data foundation and evaluation infrastructure for its CRM Agentic AI. The role involve…
CMA-ES, invented by Nikolaus Hansen and Andreas Ostermeier and refined over three decades, is a standard black-box optimizer for problems where gradients do not exist, suffer from severe noise, or cost hours per evaluati…
A data engineer with nearly a decade of experience in travel industry data systems detailed the complexities of AI-driven dynamic pricing in hotels, emphasizing the shift from batch to real-time inference and the importa…
A new interactive feature from MIT Technology Review presents seven puzzles—including mental rotation, Knights and Knaves, and visual challenges—that have stumped AI models, inviting readers to test their own skills. The…
Carnegie Mellon University released the first lecture video for its Fall 2026 course 'Introduction to Deep Learning' (11-785), presented via YouTube. The video is part of the course's public lecture series, making advanc…
Dries Buytaert, founder and CTO of Acquia, added a related-posts feature to his blog using embeddings from BAAI's bge-base-en-v1.5 model, which returns 768-dimensional vectors per post. He applies mean-centering to corre…
Most RAG implementations are over-engineered, and a simple full-text search (BM25) often suffices, according to a technical guide that outlines a recipe-based approach. The guide recommends starting with full-text search…
Caltech researchers Anima Anandkumar and Benedikt Jenik have founded Accelerated Understanding Inc, a startup built on neural operators rather than Transformers. Their system reportedly ingested 5 trillion data points in…
OpenAI reports that full-stack advances across chips, compute infrastructure, model efficiency, and product packaging have cut AI intelligence costs, with transformer models achieving a 1000x efficiency gain in the last …
The UK has secured first access to a dataset of over five million annotated combat images from Ukraine, positioning British defense tech firms ahead in AI development. Three UK startups have begun pilot projects to integ…
Sasha Rush's notebook introduces differentiable rasterization, a method to make the conversion of vector graphics to pixels differentiable for gradient-based optimization in deep learning frameworks like Jax and PyTorch.…
A developer built a lightweight intent detector using embeddings to spot actionable messages in a chat, avoiding the cost of calling a large language model on every message. The detector achieves 92% recall on generated …
OpenAI unveiled benchmarks for its custom inference ASIC Jalapeño, co-designed with Broadcom, claiming 1.5–1.9x better performance per watt and up to 3.6x lower latency versus Nvidia's GB200/GB300 on several large models…
Cong Wang announced mklinux v7.0-mk2, the first public release of the multikernel Linux tree, which allows one machine to run several independent Linux kernels simultaneously on bare metal without a hypervisor. Benchmark…
A developer built a personal notes assistant using RAG with Amazon Bedrock and Pinecone, enabling users to upload .txt files and ask questions answered strictly from their notes. The system uses embeddings for semantic s…
Cactus Compute released Needle 2, a 14 MB agentic model designed for tool calling, device control, and structured data extraction on edge devices. A developer's hands-on testing revealed several bugs, including answer dr…
A developer released an inference engine tailored to the Strix Halo (Bosgame) and Qwen 3.8 architecture, achieving over 550 tokens per second at 32k context depth, about twice as fast as the next closest engine. The engi…
A new arXiv preprint (2608.23571v1) introduces Equivariant Cellular Sheaf Networks, a model that frames molecular electronic Hamiltonians as Laplacians of cellular sheaves, yielding E(3)-equivariant operators that genera…
A new arXiv preprint (2608.23573v1) reports that transformer weight magnitudes follow a two-parameter Weibull distribution with shape k ≈ 1.2, and that the scale parameter λ grows according to a learning-rate-conditioned…
Researchers propose Gated Adaptive Prompting (GAP-Prompt), a novel method for continual learning that introduces instance-level adaptability to prompt-based approaches, achieving state-of-the-art performance on CIFAR-100…