• GEARS reframes ranking optimization as autonomous discovery in programmable experimentation. • Uses Specialized Agent Skills to embed ranking expert knowledge into reusable reaso
• Create ML empowers you to customize pre-built machine learning models on Apple platforms by providing training datasets. • Explore various use cases and deploy a custom model int
• Create ML empowers you to customize pre-built machine learning models on Apple platforms by providing training datasets. • Explore various use cases and deploy a custom model int
• How AI and ML are transforming investment banking’s future Markets move in milliseconds - humans don’t. • AI & ML close the gap between market speed and human decision-making. •
• 28 January 2026 How Automated Prompt Optimization Unlocks Quality Gains for ML Kit’s GenAI Prompt API Posted by Chetan Tekur, PM at AI Innovation and Research, Chao Zhao, SWE at
• Agents eventually exhaust context windows, causing crashes and loss of progress. • Switching models (GPT‑5 Codex, Claude Sonnet) can improve performance but still hit limits. • T
• WebNN API now a Candidate Recommendation Snapshot, ready for implementation. • Focused on low-level neural network inference with hardware acceleration support. • Updated spec in
• Executive Summary We identified vulnerabilities in three open-source artificial intelligence/machine learning (AI/ML) Python libraries published by Apple, Salesforce and NVIDIA o
• Author: Paul Calley The landscape of machine learning and artificial intelligence is rapidly expanding, driving an immense demand for robust and scalable training platforms. • As
• Authors: Andrew Garrett, Md Mansurul Bhuiyan With 10s of thousands of new posts on Reddit each day, identifying content that is simultaneously timely, newsworthy, and engaging pr
• Author: Cedric Blondeau TL;DR We migrated Reddit’s Home Feed Ranker from CPU to GPU to unlock scalability, efficiency, and enable further growth with new architectures like Trans
• Expedia Group Technology - Data Beyond the Handoff: Boosting Machine Learning Outcomes Through Integrated Scientist and Engineer Collaboration Bridging the gap between innovation
• PayPal uses declarative, config‑based feature engineering to streamline ML workflows. • Data scientists declare feature specs, leaving construction to engineering teams. • Approa
• Etsy’s CodeMosaic hackathon fuels rapid prototyping of bold tech ideas across teams. • Team tackled stateful and online ML to update models in near real‑time. • Current pipelines