Daily Digest

AI Roundup: MIT’s Brain-Inspired Chips, AI Weather Forecasts, and Warehouse Intelligence Today’s top stories in Artificial Intelligence and Machine Learning feature new research from MIT on energy-efficient, brain-inspired computing. In other news, the World Meteorological Organization has endorsed using AI to improve weather forecasts, and Gather AI is strategically shifting its focus to AI-powered warehouse intelligence. Sources: World Meteorological Organization WeRide and Uber Debut Autonomous Robotaxi Service in Riyadh WeRide and Uber have launched an autonomous robotaxi service in Riyadh, Saudi Arabia, introducing self-driving vehicles to the Uber platform in the country for the first time. Initially, the service will operate with a safety operator present in the vehicle. The first public routes are established between Roshn Front and Princess Noura University. This initiative aligns with Saudi Arabia’s Vision 2030 for smart mobility. WeRide had previously secured the first robotaxi autonomous driving permit in Saudi Arabia, and this launch follows a similar service introduction on the Uber platform in Abu Dhabi in late 2024. ...

S&P Global and IBM Launch Agentic AI to Revolutionize Supply Chains S&P Global and IBM have announced a partnership to integrate IBM’s watsonx Orchestrate agentic AI framework into S&P Global’s offerings, starting with supply chain management. This collaboration aims to provide businesses with AI-powered tools to address global supply chain challenges by enhancing visibility and insights into vendor selection. S&P Global will develop new AI agents for IBM’s watsonx Orchestrate Agent Catalog, utilizing its proprietary data and analytics to help accelerate decision-making. The partnership is a key part of S&P Global’s strategy to use trusted AI agents to transform its enterprise services. Beyond the initial supply chain focus, S&P Global intends to integrate IBM’s AI technology into other risk intelligence services. ...

Tech Digest: AetherAI’s New LLM, Kubernetes 1.32, and PostgreSQL 18 AetherAI Releases ‘Chronos-8b’, a Powerful Open-Source LLM for Time-Series Analysis AetherAI Research has open-sourced Chronos-8b, a new 8-billion parameter language model specifically trained for time-series forecasting and analysis. The model demonstrates state-of-the-art performance on financial and meteorological prediction benchmarks. Chronos-8b’s architecture is designed for efficient fine-tuning on domain-specific temporal data. The release includes the model weights and training code to democratize advanced predictive AI. ...