Learn how to implement algorithmic agility and post-quantum cryptography in MCP server-client negotiations to secure AI infrastructure against future threats.

AI that once needed expensive data center GPUs can run on common devices. A system can speed up processing, and makes AI more ...

When your mcp client talks to a server—maybe a retail bot checking inventory levels—they usually do a "handshake" to agree on a secret key. If you use ML-KEM, that handshake stays safe even if a ...

Excalidraw changed that for me. It's a free, browser-based diagramming tool with a hand-drawn, whiteboard-style aesthetic. It ...

Breakthrough Results: High-Precision GTM Acceleration for Technical Product Lines In less than four months, the semiconductor company has used Articul8 to drive significant productivity gains across ...

As demand for always-on digital services grows, data centres need to adopt technologies that ensure uptime and efficiency.

An IoT diagram for smart cities typically includes layers for sensing data, connecting devices, processing information, and ...

Until now, AI services based on large language models (LLMs) have mostly relied on expensive data center GPUs. This has ...

Forrester Consulting study finds that organizations have faced six key challenges with traditional IT management tools and ...

Uber’s Ceilometer framework automates infrastructure performance benchmarking beyond applications. It standardizes testing ...

Super Micro Computer Inc. ($SMCI) announced a new blade server system built to meet rising demand from AI and ...