Meta unveils four new AI chips as it expands its in-house hardware push, aiming for more control over AI costs, rollout speed ...

Artificial intelligence (AI) workloads, spanning deep learning training, real-time inference, graph neural networks, and generative models, continue to ...

As artificial intelligence adoption accelerates, data centers are undergoing a fundamental transformation. In 2026, AI infrastructure is no longer defined by scale alone; it is about power density, ...

The year 2026 will mark a decisive shift in the enterprise AI journey, moving from experimentation and market hype towards engineering-led value realisation ...

Android phones are evolving fast in 2026, with AI-native features, massive batteries, robot-inspired cameras, and creaseless foldables changing mobile tech.

I see three AI infrastructure leaders that, based on current fundamentals and demand trends, could plausibly triple over the next five years. Nvidia, Broadcom, and Taiwan Semiconductor Manufacturing ...

Cloud providers’ hoarding of GPUs, memory, and other hardware to support AI workloads is causing scarcity, pricing out consumers and businesses alike. Whenever a tech titan makes a sweeping statement ...

2025 will be remembered as the year AI became unavoidable. From procurement to customer service, intelligent systems started rewriting playbooks across industries. But with adoption came complexity: ...

Which hardware stocks are best positioned for the AI revolution? Seeking Alpha analysts Michael Del Monte, Kennedy Njagi, and Elizabeth Pramila offer their picks. Michael Del Monte: My top names for ...