Machine learning news — deep learning, reinforcement learning, neural architecture search, diffusion models, and new ML frameworks and libraries.
The UK will deploy artificial intelligence through a partnership between the Foreign, Commonwealth and Development Office and the Met Office to help climate-vulnerable countries in Africa and Southeast Asia prepare for e…
A developer fine-tuned a tiny 0.6B-parameter Qwen 3 model to categorize household questions into metadata categories like pool, car, and HVAC. The baseline model achieved only 10% accuracy via prompting, but fine-tuning …
A developer argues that statistics is the true foundation of data science, not coding or AI tools. Without statistical mastery, data scientists risk building flawed models and misinterpreting data. The post emphasizes th…
VSBD deployed a microservices architecture for its AI Real Estate Data Intelligence platform, decomposing services by business domain rather than technical layer to independently scale high-volume data ingestion and low-…
A developer outlines a practical approach to self-improving AI agents for real estate and PropTech, distinguishing genuine self-improvement from mere prompt updates. The method uses a disciplined loop of multi-trajectory…
An engineer demonstrates how to measure starlight using Python, covering the inverse square law, the Pogson magnitude scale, and aperture photometry. The post explains the distinction between luminosity and flux, and pro…
An engineering team has deployed edge AI systems across steel plants, sugar refineries, and power stations over the past two years, identifying five architectural patterns that survive the factory floor. These include hi…
Google's TPU uses a systolic array architecture optimized for tensor algebra, offering higher throughput and energy efficiency than GPUs for dense matrix operations, but requires XLA compilation and introduces friction w…
Researchers released MonitoringBench, a benchmark of 2,644 attack trajectories for evaluating coding-agent monitors, along with a semi-automated red-teaming pipeline. The pipeline decomposes attack construction into stra…
A developer implemented an LSTM from scratch using PyTorch and Lightning AI, detailing the initialization of weights and biases for the forget, input, cell candidate, and output gates. The tutorial uses the Adam optimize…
Researchers at GSI/FAIR and international collaborators developed RHINE, a machine learning model using deep neural networks to simulate r-process nucleosynthesis in extreme astrophysical events like neutron star mergers…
The Bank for International Settlements (BIS) introduced BISTRO, a general-purpose macroeconomic time series forecasting model built on transformer architecture and fine-tuned on BIS data. Unlike traditional models, BISTR…
Wildcard (YC W25), an agentic commerce optimization platform for e-commerce and retail brands, is hiring a Founding Applied ML Engineer. The role involves building AI systems for visibility, recommendations, and automati…
Google's Tensor Processing Units (TPUs) are specialized chips designed for neural network matrix multiplications, differing fundamentally from GPUs. Unlike GPUs, which evolved from graphics rendering, TPUs use a systolic…
The second installment of a five-part series on RAG (Retrieval-Augmented Generation) emphasizes the critical importance of the data loading step, which is often overlooked but can determine the success or failure of the …
A startup founder recounts how detaching from outcomes while maintaining full effort led to success after a failed startup and pivot to machine learning. After a Series A collapse during COVID, the founder's mobile app f…
A team of kernel engineers developed a bf16 forward attention kernel for AMD MI300X GPUs using HIP, outperforming AMD's own AITER v3 library by up to 1.26× across various token lengths and rounding modes. The kernel achi…
Code enabling experimental DLSS support for the open-source NVK Vulkan driver was merged into Mesa 26.2-devel on June 19, 2026. The feature, gated behind the NVK_EXPERIMENTAL=dlss environment variable, implements the Vul…
A developer built OpenDataSci, an autonomous agent for data science and machine learning tasks, and tested it on a Kaggle competition. Without any guidance, the agent achieved an AUC of 0.95, placing in the top 30% out o…
Clalit Health Services, Israel's largest healthcare provider, has joined the PANDAI project, an €8 million European initiative funded by Horizon Europe to build an AI platform for detecting and managing pandemics. Clalit…