DSpark can make decoding faster, but acceptance quality still determines how much speed the system actually realizes.

India's overdependence on foreign artificial intelligence models risks a large forex outflow, especially as many of them are ...

Over the past three years, Volcano Engine president Tan Dai has repeated the same cycle when setting revenue targets for his ...

Curious about the working of an on-device AI? Here is how an on-device AI works and what you can take from it for yourself.

The scale of the AI buildout has been both breathtaking and historic, and in this piece, we explore what is motivating such ...

Hybrid cloud solutions from Dell and Microsoft tackle AI deployment, data sovereignty, security, and scalability challenges ...

Robot skill library ASPIRE — released June 29 by NVIDIA and collaborators — gives robots persistent memory by storing every debugging fix as a named, reusable code pattern. It pushed bimanual handover ...

Models are just rented, fast-depreciating engines that everyone has access to. Your actual AI moat is the custom data ...

Tom Fenton moves from local AI concepts to hands-on tools for matching LLMs to hardware, running local chatbots with Ollama and benchmarking AI performance.

Hyperscalers are spending more than $750 billion a year on AI infrastructure, and much of it is for physical hardware that ...

With organizations reorganizing themselves to put artificial intelligence at the center, we’ve seen a shift from information ...

In a June 11 op-ed in this fine newspaper, former mayor Jim Dailey urged the residents of central Arkansas to lay aside their opposition to Google building a hyperscale data center here, writing that ...