In this series, we examine what happens after the proof of concept and how AI becomes part of the software delivery pipeline.

After decades of vendor-dictated upgrades and monolithic gridlock, agentic AI is ushering in a new era of enterprise autonomy ...

ScyllaDB Vector Search is built on ScyllaDB’s shard-per-core architecture with a Rust-based extension that leverages the USearch approximate-nearest-neighbor (ANN) search library. The architecture ...

Contributed by Jason Shull and Chris Galfano Innovation is the engine of the commercial drone industry. Advances in autonomy, ...

Researchers at MIT's CSAIL published a design for Recursive Language Models (RLM), a technique for improving LLM performance ...

Jackson will work closely with customers, partners and internal teams across the region to help organizations better ...

Public sector modernization demands more than cloud migration. Drawing on two decades of enterprise architecture experience, ...

Given the rapidly evolving landscape of Artificial Intelligence, one of the biggest hurdles tech leaders often come across is ...

AI scaling is hindered by fragmented enterprise infrastructure in a constantly shifting technology ecosystem. A new ...

As enterprises seek alternatives to concentrated GPU markets, demonstrations of production-grade performance with diverse ...

IMDEA Networks has significantly strengthened its research capabilities in advanced 5G and future 6G networks through the execution of the ADVANCE-6G, TEST-6G, and INES projects, which focused on the ...

From cyberattacks to insider threats, organizations face a growing range of risks that can disrupt operations, erode trust, ...