Intelligent Infrastructures: InfraAI is designing AI-driven systems that manage themselves. By developing new building blocks and abstractions, these systems adapt in real time, optimize performance, ...

A defining challenge facing agentic AI may not be model capability, but rather its containment and governance.

Apple refused to play a game where the only prize was an eye-watering server bill, but the Gemini integration must land with flawless optics| India News ...

Java has endured radical transformations in the technology landscape and many threats to its prominence. What makes this technology so great, and what does the future hold for Java?

Publishers are exploring automation through agentic AI such as sales agents who actively make decisions in the auction.

New platform enables organizations to train AI models on proprietary data, but analysts say adoption may be limited in the near term.

From the “inference inflection point” to OpenClaw’s rise as an agent operating system, Nvidia’s GTC keynote outlined the architecture of the AI factory, spanning Rubin ...

Abstract: For early identification and individualised management, machine learning-based diabetes prediction is essential. In this work, the methods for logistic regression (LR), naïve Bayes (NB), ...

The platform combines CPUs, GPUs, networking, interconnect, and data processing technologies into a unified system for large-scale AI workloads.

AI bias propagation spreads across data, models, and APIs. Learn how enterprises use fairness-aware machine learning and observability to control systemic bias.

Martial arts robots may play well on stage, but can they get work done? A look at what it takes to deliver the reliability and safety required for autonomous robotic systems ...

Hybrid Voice AI combines on-device reflex processing with cloud reasoning to create reliable, always-available smart home voice control.