As context windows jump to 128K–256K+ tokens, attention’s quadratic costs strain memory and interconnects. Here’s how JAX/XLA teams can combine sequence parallelism, sharding, and checkpointing to keep utilization high and step times in check.
Scaling Long-Context Model Training in JAX and XLA: A Practical Playbook for Engineers Read Post »
Dassault Systèmes and NVIDIA are building a shared, science‑validated industrial AI stack that fuses 3DEXPERIENCE with Omniverse to power high‑fidelity Virtual Twins, agentic assistants, and autonomous, software‑defined production systems.
Dassault Systèmes & NVIDIA: industrial AI platform for virtual twins Read Post »
A fast-growing AI-only platform lets autonomous bots talk to each other while humans watch. Its early dynamics—spanning playful role‑play to a bot-invented religion—are forcing urgent questions about safety, oversight, and real-world impact.
Inside the Moltbook AI social network: Risks and Opportunities Read Post »
MIT has named philosopher Brian Hedden PhD ’12 co-associate dean of SERC, the cross-cutting initiative that embeds social and ethical considerations into computing and AI across the Institute.
MIT computing and AI ethics leadership appointment: Brian Hedden to co-lead SERC Read Post »
MIT senior Katie Spivakovsky has been named a 2026–27 Churchill Scholar and will pursue an MPhil in biological sciences at the University of Cambridge’s Wellcome Sanger Institute, advancing work at the intersection of AI and bioengineering.
At 3DEXPERIENCE World, NVIDIA CEO Jensen Huang and Dassault Systèmes CEO Pascal Daloz outlined a long-term plan to fuse high-fidelity virtual twins with accelerated computing and generative biology—positioning physics- and science-grounded “Industry World Models” as a trusted system of record for industrial AI.
NVIDIA and Dassault Partner on an Industrial Virtual Twin Platform Read Post »
