Taalas has launched an AI accelerator that puts the entire AI model into silicon, delivering 1-2 orders of magnitude greater ...

Empromptu's "golden pipeline" approach tackles the last-mile data problem in agentic AI by integrating normalization directly into the application workflow — replacing weeks of manual data prep with ...

How Siddhartha (Sid) Sheth and Sudeep Bhoja are building the infrastructure behind the next wave of artificial intelligence ...

Users running a quantized 7B model on a laptop expect 40+ tokens per second. A 30B MoE model on a high-end mobile device ...

Google DeepMind’s Gemini 3.1 Pro has posted the highest scores yet recorded on two of the toughest AI reasoning benchmarks in existence, pulling ahead of OpenAI’s GPT 5.2 on both. The results sharpen ...

Here is a blueprint for architecting real-time systems that scale without sacrificing speed. A common mistake I see in early-stage personalization teams is trying to rank every item in the catalog in ...

For production AI, security must be a system property, not a feature. Identity, access control, policy enforcement, isolation ...

Tech leaders are increasingly paying attention to AI developments in the country.

If executed at the scale, Musk's orbital data center plan could have devastating effects on the environment and the ...

A new forecast from Nokia suggests that WAN traffic could grow by as much as 700% by 2034, driven largely by the rapid expansion of AI workloads.

AI hyperscaler capex, custom silicon & Ethernet networking strength plus VMware synergies driving FCF. See more here.