IP that’s built on a RISC-V vector processing CPU. The platform has been augmented to support artificial-intelligence/machine ...

Overview Most data science work benefits more from stable RAM and CPUs than from GPUs.The best laptops for data science ...

AI-empowered solutions across a diverse range of products enhance productivity, creativity, and everyday lifeKEY ...

At CES 2026, BIOSTAR is taking a very grounded approach to edge AI by showing how compact, low-power hardware can deliver ...

As Nvidia’s annual returns decelerate, CES 2026 reveals a company transitioning from explosive growth to structural control ...

Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and ...

Building Generative AI models depends heavily on how fast models can reach their data. Memory bandwidth, total capacity, and ...

One of the largest memory manufacturers in the world, Micron, has confirmed the obvious: memory shortages are likely to extend beyond next year as manufacturers struggle to keep up with burgeoning ...

Artificial intelligence is consuming enormous amounts of energy, but researchers at the University of Florida have built a chip that could change everything by using light instead of electricity for a ...

JAX is one of the fastest-growing tools in machine learning, and this video breaks it down in just 100 seconds. We explain how JAX uses XLA, JIT compilation, and auto-vectorization to turn ordinary ...