Machine learning news — deep learning, reinforcement learning, neural architecture search, diffusion models, and new ML frameworks and libraries.
JAX's Pallas kernel system, which lowers through Triton on GPU and Mosaic on TPU, lets developers write custom kernels when XLA's automatic fusion is insufficient for operations like flash attention, according to a techn…
India's Central Drugs Standard Control Organisation published final guidance on July 21 for software regulated as a medical device, including specific expectations for artificial-intelligence and machine-learning systems…
A new GitHub repository by ChaitanyaK77 provides a step-by-step Jupyter Notebook guide for training a small language model from scratch on a single consumer-grade GPU using the TinyStories dataset, covering raw text prep…
Warner Bros is testing a new feature called HBO Max Shorts on a limited number of US iPhone users, using an in-house AI tool that suggests vertical clips from the HBO Max library, with human editors making the final sele…
The defense industry is shifting from static threat libraries to cognitive radar and electronic warfare (EW) systems that use artificial neural networks (ANN), deep neural networks (DNN), fuzzy logic, and genetic algorit…
Oye Collective has built a local PII detection feature for coding agent transcripts that scans for secrets without sending data to the cloud. The system combines regex for structured tokens like API keys with a quantized…
Trustample, an AI transcription platform, implemented a simple arithmetic check to verify its own output after a user uploaded a Spanish recording that was processed as English, producing a nearly empty transcript withou…
In 2026, AI has become the central nervous system of software development, with IDEs like Copilot X, Cursor, and JetBrains AI evolving into 'development agents' that understand entire codebases and proactively suggest fu…
A first-principles analysis of LoRA fine-tuning memory usage reveals that 87.3% of VRAM scaling with sequence length for Llama 3.1 8B is consumed by the cross-entropy loss head tensor, not the model, optimizer, or attent…
Liquid AI released two open-weight bidirectional encoders, LFM2.5-Encoder-230M and LFM2.5-Encoder-350M, built on the LFM2 hybrid backbone with an 8,192-token context. The 350M model achieves a 17-task mean of 81.02, rank…
Researchers at UC Berkeley Sky Lab extended the K-Search evolutionary kernel optimization framework with a structured CUDA-to-MLX translation layer, enabling automatic transfer of decades of CUDA kernel expertise to Appl…
Subaru reduced pull times for 30+ GB AI container images from approximately three hours to three minutes, a 60x improvement, by optimizing its Kubernetes networking architecture using Envoy Gateway. The Cloud Native Comp…
The ELLIS Society approved its fourth summer school on Machine Learning for Healthcare and Biology, following three successful events between 2023 and 2025. The three-day event featured 12 expert researchers from 8 Europ…
A new study, 'The Physics of Multi-Turn Long-Horizon Planning,' introduces a controlled environment to isolate variables in agentic planning. The research identifies three stages—pre-training, post-training, and integrat…
A developer demonstrated that prompt-to-model pipelines for computer vision are becoming feasible on consumer hardware by generating nearly 1,000 synthetic images of wrenches using Flux Klein 9B, annotating them with Met…
A product manager developing a business matching system using similarity search is advised to adopt retrieval-augmented generation (RAG) and combine embeddings with structured metadata such as industry, location, and ser…
A Hugging Face user asks for the best method to extract services from free text, citing a rule-based approach with synonym dictionaries and negation detection as a starting point, with NLP or zero-shot models as a potent…
Researchers trained a multi-label classifier on a curated gold dataset of 1,207 CVEs from expert MITRE Center for Threat-Informed Defense mappings, achieving recall@5 of 0.673 ± 0.019 for mapping CVEs to MITRE ATT&CK tec…
A developer built a reproducible sales-forecasting workflow for a B2B SaaS company that combines CRM extraction, stage calibration, machine-learning win probabilities, and Power BI dashboards. The system uses determinist…
A new study from researchers including Elisaweta Masserova reveals that cryptographic model certification (CMC) schemes built on zero knowledge proofs can be attacked by model providers who engineer training data, allowi…