Corbin Duncan, our global correspondent, speaks to the Zhipu team on their technical progress, business model and the future ...

Abstract: With the increasing number of devices, the demand for data computation is growing rapidly. In edge-cloud collaborative computing, tasks can be scheduled to servers as interdependent subtasks ...

Abstract: The virtual-to-real paradigm, i.e., training models on virtual data and then applying them to solve real-world problems, has attracted more and more attention from various domains by ...

Computing ecosystems are changing dramatically. AI, quantum computing, exascale supercomputers, biological DNA, chemical and ...

The 1990s were a transitional period for both the television industry and the broader science fiction genre. Throughout the ...

Main difference between Edge AI and traditional cloud-based AI is how ML models are processed and deployed in both models ...

Intel and AMD have jointly announced ACE, a new x86 instruction set extension that brings dedicated AI acceleration to CPUs, ...

Damkroger has been in the HPC field for more than three decades, with long stints at Sandia National Laboratory and Lawrence ...

AI scalability will require full-stack co-optimization, not just bigger data centers. AI workloads require a 10X compute ...

As AI pushes data centers into unprecedented power and thermal regimes, the traditional boundaries between electrical, ...

Steve Altizer argues that AI infrastructure demands a fundamentally different deployment model; one built around integrated ...

The N64 hit homes in 1996, and these five classic games are why Nintendo fans are still playing it in 2026.