To ask What am I designed to do? is not to surrender freedom—it is to locate it. It means working with the grain of your ...
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 ...
Background For people whose stroke risk would be reduced by taking a long-term oral anticoagulant (OAC), it is important to implement effective strategies to support medication initiation, adherence ...
Recently, micro/nanosatellites have become a significant trend in space with the rapid development of space technology, ...
Explore MCP vulnerabilities in a post-quantum world. Learn about PQC solutions, zero-trust architecture, and continuous monitoring for AI infrastructure security.
From Caseload to Health System Change: Patterns and Outcomes of Pediatric ENT Emergencies in Burundi
Pediatric ENT emergencies pose unique risks because small anatomic airways can make minor pathology life-threatening in minutes. The WHO pediatric emergency care framework underscores the urgency of ...
The new storage system could hold family photos, cultural artifacts and the master versions of digital artworks, movies, ...
What if the very method you rely on to simplify information is actually sabotaging your results? Imagine a Retrieval-Augmented Generation (RAG) system tasked with answering a critical question from a ...
A new framework from Stanford University and SambaNova addresses a critical challenge in building robust AI agents: context engineering. Called Agentic Context Engineering (ACE), the framework ...
The United States is one of just three countries that "prefers" imperial measurements over the international metric standard. The motivation why has less to do with official policy than you might ...
When I first started experimenting with voice AI agents for real-world tasks like restaurant reservations and customer service calls, I quickly ran into a fundamental problem. My initial monolithic ...
As organizations push AI systems into production, IT teams are asking how to make models more dependable, secure and useful in real-world workflows. One approach gaining traction is the Model Context ...
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