Machine learning news — deep learning, reinforcement learning, neural architecture search, diffusion models, and new ML frameworks and libraries.
Sebastian Raschka's 'Build a Large Language Model (From Scratch)' and Andriy Burkov's 'The Hundred-Page Language Models Book' are among five recommended books for deepening understanding of large language models, coverin…
Alan Murray, co-founder and CEO of Conceivable Life Sciences, said his previous company TMRW Life Sciences automated storage and tracking of frozen eggs and embryos but revealed that the real bottleneck in IVF is the man…
A developer has compiled an overview of AI engineering techniques, including training from scratch, fine-tuning, quantization, prompt engineering, structured outputs, tool calling, RAG, model routing, and agentic systems…
Tokens per second for local LLM generation is primarily a memory bandwidth number, not a measure of silicon cleverness, according to an analysis by an unnamed author. At batch size one, generation speed equals memory ban…
A user on a forum is seeking advice on integrating AI models, including Hugging Face tools, with mass email sending services such as iDealSMTP for tasks like email personalization, subject line generation, spam-risk dete…
Duke University researchers have developed Raygun, an AI tool that shrinks proteins while preserving function, potentially easing gene therapy delivery. The system generated 70,000 fluorescent protein variants, with the …
A senior enterprise business intelligence leader argues that AI failures often stem from inconsistent and fragmented data rather than model inadequacy, citing a sales forecasting initiative where unstandardized opportuni…
A neural network trained to predict the stiffness of perforated metal sheets achieved perfect accuracy on held-out test sets but failed to generalize across different hole geometries, performing worse than a trivial dens…
Baidu's vLLM Kunlun plugin, open-sourced on Dec 8, 2025, enables vLLM to run on Kunlun XPU hardware, supporting 20+ models including Qwen, Llama, DeepSeek, GLM, and Gemma4, with features like quantization, LoRA, and spec…
A machine-learning model that estimates 'brain age' from sleep EEG recordings can flag dementia risk years before memory symptoms appear, according to a study led by UC San Francisco and Beth Israel Deaconess Medical Cen…
A developer building an ad click prediction project discovered that software engineering challenges, such as project architecture, testing, and environment issues, proved more valuable than the machine learning model its…
SAP SE is prioritizing tabular AI models over generative AI chatbots to deliver business value from structured data in its enterprise resource planning systems, according to a member-only Medium story. The company argues…
PolyAI released Dialog-RSN-1, an audio-native dialog model that processes caller audio directly, integrating turn-taking, speech recognition, function calling, and response generation into a single model while keeping te…
A senior developer argues that brute-force vector search with NumPy can outperform vector databases for datasets up to about 1 million documents, citing benchmarks from an M4 MacBook Pro showing 79.7 queries per second w…
PyTorch's multiprocessing module provides a CUDA Inter-Process Communication (IPC) API that enables sharing model weights across multiple processes for inference, avoiding duplication in GPU VRAM. The technique, demonstr…
Researchers introduced MeshFM, a feedforward framework that distills 2D features from visual foundation models into 3D, enabling rich 3D shape understanding without 3D annotations. The method, which uses a two-stage trai…
Researchers at an undisclosed institution evaluated three recursive transformer architectures for surrogate thermo-mechanical analysis of semiconductor packages, finding that recursive weight-sharing transformers offer a…
Researchers introduced DoTime, an open-source synthetic benchmark generator for interventional and counterfactual time series, released as the dotime PyPI package with four frozen evaluation suites. It provides 100,000 t…
Researchers propose AgenticCANN, a knowledge-augmented agentic evolution framework for automated Ascend C operator synthesis on Huawei Ascend 910B NPUs, achieving 90-100% feasibility on elementwise and normalization oper…
Researchers propose RLPF (Reinforcement Learning from Performance Feedback), a staged reward method that trains code agents to prefer faster correct implementations. Fine-tuning Qwen3-32B with RLPF on PerfCodeBench raise…