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.

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 ...

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 ...

General-purpose AI chips have more comprehensive software support and a higher degree of programmability, enabling almost any AI model. While GPU hardware architecture may not be the optimal ...

Even after an uncommonly eventful week for generative AI-centric device development, we don’t know much about what consumers really want. 2026 may still be more than seven months away, but it ...

The future of AI hardware may lie in the development of brain cells as computing machines as they offer significant advantages in power consumption and processing speeds. Written by Rajiv Rao ...

AMD has detailed its roadmap for Ai development at its Advancing Ai 2025 event in San Jose, introducing a new wave of silicon, infrastructure and open software designed to support a broad ...

A breakthrough development in photonic-electronic hardware could significantly boost processing power for AI and machine learning applications. The approach uses multiple radio frequencies to ...

March 06, 2024 – Eindhoven, Netherlands: AI hardware maker Axelera AI has unveiled Titania, which the company described as a high-performance, low-power and scalable AI inference chiplet. Part of the ...

Zuken Inc. announced an agreement with IBM to join the IBM Research AI Hardware Center as a commercial member to further support development for next-generation chips. “We are thrilled to be working ...

Buterin said a “soft pause” on industrial-scale computer hardware could be an option to slow AI development if this happens, reducing available global computing power by up to 99% for one to ...

Next-Generation AI Computing Hardware Using Photonic Chips” was published by researchers at The Chinese University of Hong Kong, National University of Singapore, University of Illinois ...