Yes, the current state of Arm64 AI development on Windows is disappointing, but that’s more because it’s possible to see what it could be, not because of a lack of tools.

Across the tech ecosystem, organizations are coalescing around a shared vision: The smarter future of AI lies at the edge.

According to a report from DigiTimes, the reason for the delay has been attributed by a mix of industry-level and technical ...

Explore the ultimate hardware comparison for local AI development. Mac Studio or Nvidia GPUs, find the perfect fit for your ...

This software optimizes AI model performance without the need for retraining or software fine-tuning to efficiently run on target hardware, significantly accelerating development cycles and ...

Trusted, rugged embedded hardware enables reliable, real-time AI in mission-critical applications like defense, aerospace, ...

We've reported on the rapid, almost-certainly-ecologically-unsound expansion of AI data centers before, but Meta appears to ...

The big chipmakers aren’t standing still. Three years ago Intel Corp. acquired Habana Labs Ltd. and made the Israeli-based chip maker the focal point of its AI development efforts. Habana’s ...

AI’s rapid evolution is producing an explosion in new types of hardware accelerators for machine learning and deep learning. Some people refer to this as a “Cambrian explosion,” which is an ...

TAIPEI (Reuters) -Taiwan plans to launch its "Ten Major AI Infrastructure Projects" initiative, aimed at generating more than ...

AI’s impact on hardware design With the rise of generative AI, the industry finally has the tools it needs to put the magic back in hardware design. That makes generative AI for hardware analogous to ...