The focus of artificial-intelligence spending has gone from training models to using them. Here’s how to understand the ...

It's when research becomes ongoing rather than episodic that innovation shifts from isolated breakthroughs to durable, ...

“This is the AI future,” Jensen Huang said at the company’s GTC Conference, speaking about the shift to inference.

The future of AI robot computing power is expected to shift significantly toward edge devices, with dexterous robotic hands ...

What once took up the entire space in IBM’s lab in the 60’s, now fits on a chip. With tech. breakthroughs, it’s been about the how and when — as will quantum on a chip.

Making chips for training AI models made it the world’s biggest company, but demand for inference is growing far faster.

Silicon-based artificial intelligence has come a very long way in a very short space of time, driving massive advances in the large language models that sit at the heart of today’s generative AI ...

This coin offers a very appealing mixture of new in-demand services for AI and a proven supply schedule.

The price tag for competing in the artificial intelligence race is rapidly climbing, fueling demand for advanced computing power and the high-end chips that are needed to support it. Advanced Micro ...

For much of the last three decades, investors have had a game-changing technology or hyped trend to capture their attention and capital. Some of these popular trends include the advent and ...

Perplexity announced Computer for Enterprise at its Ask 2026 developer conference, launching a multi-model AI agent with ...

All three of these companies are generating impressive sales growth, but only one is currently profitable.