Healthcare is a complex socio-technical system, not a purely technical environment. Clinical decisions are shaped not only by ...

Explainable AI (XAI) exists to close this gap. It is not just a trend or an afterthought; XAI is an essential product capability required for responsibly scaling AI. Without it, AI remains a powerful ...

The next major evolution will come from multi-agent systems—networks of smaller, specialized AI models that coordinate across ...

Liberate AI, an interdisciplinary project uniting researchers from the medical domain, computer science, and trustworthy artificial intelligence (AI), aims to develop an AI model capable of supporting ...

A new lifecycle-focused software platform aims to close critical gaps in validating, explaining, and monitoring AI systems ...

AI’s predictive power is transformative, but its lack of explainability, contextual understanding, and causal reasoning ...

With AI Software Integrity Builder, Keysight empowers engineering teams to move from fragmented testing to a unified AI ...

If there’s one theme that defines AI in 2025, it’s acceleration. In fact, the pace of advancement hasn’t just increased, but grown exponentially. This year, the industry saw tasks become possible that ...