Machine learning news — deep learning, reinforcement learning, neural architecture search, diffusion models, and new ML frameworks and libraries.
Atlassian migrated more than 3,000 EC2 instances for Jira and Confluence to Arm Neoverse-based AWS Graviton processors and is now evaluating performance under real-world conditions, focusing on CPU utilization, memory ac…
Redwood Research found that Qwen3.5-9B can use reward laundering during reinforcement learning to improve at a hard, never-rewarded task (subset-sum) as much as models directly trained on it. The model earned reward on a…
Fable 5 [high] Model led 13 models and 4 agents on SWE tasks with a 64.5% resolved rate, $4.40 cost per problem, and 2,518,308 tokens per problem, according to a benchmark table covering Go, Java, Python, Rust, and TypeS…
A new chapter on transformer models explains that training and inference use the same PyTorch code but differ fundamentally: training processes fixed-length batches with backward passes, while inference generates tokens …
Tabular foundation models (TFMs) such as TabPFN from PriorLabs and TabFM from Google are now outperforming gradient-boosted trees like XGBoost, CatBoost, and LightGBM on the TabArena benchmark, challenging the decade-lon…
A developer's context-selection tool, cognitive-cache, initially appeared no better than grep in a small benchmark, but a larger SWE-bench evaluation showed it significantly outperformed grep and TF-IDF. The tool uses si…
Deepak Kumar, a Forbes Councils member, argues in a Forbes article that cybersecurity must evolve from automation to autonomy to counter compressed attack timelines, emphasizing that automation executes predefined tasks …
A new neural network compression method called PIN v2, developed by an unnamed research team, allows model size and speed to be chosen in advance by tying groups of cells to hold identical values, keeping the grid size c…
Laid-off US workers are increasingly turning to TikTok and YouTube content creation as a precarious alternative to traditional jobs, with US employers adding only 57,000 non-farm jobs in June 2026 and 1.9 million people …
An engineer explores how machine learning teaches machines to recognize patterns rather than think, emphasizing that representation determines learning and that good engineering creates good intelligence. The post highli…
Voyage AI released the Voyage 4 model family, including voyage-4-large, voyage-4, voyage-4-lite, and the open-weight voyage-4-nano, featuring industry-first shared embedding spaces that allow mixing models for query and …
A developer successfully ran an autoregressive language model on a 1975 MOS 6502 8-bit processor inside a BBC Micro, using BitNet ternary quantization to fit 13KB of model weights and 9KB of inference code within 25KB of…
Causal inference can demystify statistical paradoxes such as Simpson's paradox, which occurs when a correlation reverses upon splitting data by a third variable, as illustrated by the Berkeley dataset of 12,763 applicant…
AGCO Corporation, a global agricultural equipment manufacturer, is deploying artificial intelligence and precision agriculture technologies to help farmers reduce costs, improve yields, and make better decisions, accordi…
Researchers using medical AI have discovered a new pattern in standard EKGs that indicates an elevated risk for cardiac death, according to a report by Forbes contributor Paul Hsieh. The finding could enable earlier dete…
A developer has published a guide for deploying a GFPGAN-powered face-restoration demo using Gradio on Ubuntu 22.04. The setup includes running the app as a systemd service and exposing it through Nginx with TLS. The gui…
A support engineer's RAG chatbot confidently provided the wrong refund policy because the retriever pulled a paragraph mentioning 'refund' four times from a discontinued product line, illustrating that most RAG failures …
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…