I’ve been flying multispectral missions for a few years now, and the biggest surprise of these systems is how much processing ...

By addressing challenges related to environmental durability, SWaP constraints, latency, and reliability, Crystal Group ...

Lalit Ahuja is the Chief Technology Officer at GridGain Systems & a frequent speaker on AI-ready data and enterprise architecture patterns. Extracting intelligence requires both access to information ...

Second consecutive top ranking arrives alongside cross-platform conversation capture, fully local AI processing, and EU data ...

The first-of-its-kind pilot could lead to speedier regulatory approval of medical drugs and devices and potentially reduce ...

Edge data centers are a key factor in supporting the evolution of AI applications, but it can be a challenge to accommodate ...

When people talk about technology in finance, the conversation often revolves around what’s visible—sleek mobile apps, ...

With AI applications and agents increasing the demand for trusted real-time data, IBM plans to combine the Confluent platform with its AI infrastructure software and automation systems. IBM has struck ...

NPU-equipped MCUs open the door to optimized edge AI in systems ranging from wearable health monitors to physical AI in ...

The real-time revolution for enterprises has been underway for more than a decade, characterized by the gathering, processing, and delivering of near real-time (within hours) capabilities all the way ...

AI is inspiring organizations to rethink a fundamental IT concept: the data center. For decades, the data center was a centralized place. It was a handful of large, secure facilities where ...