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The Latest in AI Marketing & Sales Tech
Real updates, not press releases. We track emerging AI trends, new product features, and research that shapes the future of business automation.
AI Copilot for Particle Accelerators: How Berkeley’s ALS Keeps Operations Safe and Fast
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.
Wayve AI Driver on Azure: How Deep Learning Rewrites Self-Driving
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.
Gemini Gmail AI summarization: What Google’s new ‘AI Inbox’ means for work and privacy
Google is rolling out Gemini-powered features in Gmail that summarize long threads, surface action items, and help draft replies. Here’s how it works, who gets access, and what to know about data and privacy.
Delivering Massive Performance Leaps for Mixture of Experts Inference on NVIDIA Blackwell GPU for MoE inference
NVIDIA’s next-generation Blackwell promises major gains for sparse Mixture of Experts (MoE) inference by tightening memory integration, accelerating interconnects, and improving scheduling—key to reducing routing and cross‑GPU bottlenecks. Here’s how it reshapes performance and TCO alongside H100.
Delivering Massive Performance Leaps for Mixture of Experts Inference on NVIDIA Blackwell: GB200 NVL72 MoE inference performance
NVIDIA’s Blackwell generation and the GB200 NVL72 rack-scale system target order-of-magnitude gains for MoE inference by combining a unified 72-GPU NVLink domain, FP4-enabled Transformer Engine advances, and MoE-optimized software stacks.
Synthetic data generation for robotics: NVIDIA Isaac Sim and OSMO for end-to-end workflows
NVIDIA’s simulation and orchestration stack combines Isaac Sim, Omniverse Replicator, and cloud-native management to help teams build, train, and validate robotic AI with scalable synthetic data pipelines.
