As AI is embedded inside systems, teams must design APIs with governance, observability and scalability in mind.

Overview: In 2025, Java is expected to be a solid AI and machine-learning language.Best Java libraries for AI in 2025 can ease building neural networks, predict ...

As artificial intelligence (AI) adoption accelerates, India’s information technology (IT) and start-up sectors are undergoing ...

AI agents are becoming algorithmic customers and redefining holiday shopping, supply chains and trust while raising new ...

A minimalist smart home controller made from a piece of wood, the Mui Board works with Matter, Sonos, Hue, and others. It ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

As AI moves from controlled experiments into real-world applications, we are entering an inflection point in the security ...

Security researchers uncovered a range of cyber issues targeting AI systems that users and developers should be aware of — ...

Crucially, detection and response must be unified across identity and data layers. An alert about unusual data access is meaningless if it is not correlated with identity risk signals. Autonomous ...

In 2026, here's what you can expect from the AI industry: new architectures, smaller models, world models, reliable agents, ...

In 2026, the question isn’t whether Kubernetes wins – it already has. And yet, many organizations are running mission-critical workloads on a platform they still treat as plumbing, not the operating ...

Banks and insurers must unify fragmented decisions to manage risk, regulation and customer expectations in real time.