Multiply Labs is bringing modular, robotics-driven automation to cell and gene therapy manufacturing. Peer‑reviewed data shows automated T cell expansion can match manual quality while cutting costs and boosting throughput.
AI’s Next Revolution: Robotic Cell Therapy Manufacturing Moves From Pilot to Production Read Post »
If contractors are asked to upload past work to evaluate AI agents, OpenAI’s own agreements and privacy policies define strict confidentiality rules—and highlight real risks around data lineage, consent, and retention.
OpenAI Contractor Data Uploads: What Businesses Need to Know Now Read Post »
NVIDIA is expanding its retail AI stack beyond chatbots to span intelligent warehouses, safer customer assistants, and AI-driven catalog enrichment — an end-to-end approach aimed at speed, personalization, and operational resilience.
After the fatal shooting of Renee Good in Minneapolis, AI tools fueled a wave of false “unmasking” images that misidentified the involved officer. Here’s what was debunked, why these visuals spread, and how to verify before sharing.
Lawrence Berkeley National Laboratory’s Advanced Light Source is deploying an agentic AI copilot that turns natural-language requests into safe, auditable actions across 230,000+ control points—pairing on‑prem LLMs with a plan‑first architecture to boost uptime and throughput.
AI Copilot for Particle Accelerators: How Berkeley’s ALS Keeps Operations Safe and Fast Read Post »
Wayve is betting on end-to-end deep learning and Microsoft Azure to scale autonomous driving. By training large neural networks on petabytes of data and running a continuous Fleet Learning Loop, the company aims to deliver a generalizable AI Driver for automakers and mobility platforms.
Wayve AI Driver on Azure: How Deep Learning Rewrites Self-Driving Read Post »
