Semiconductor processing is notoriously challenging. It is one of the most intricate feats of modern engineering due to the ...

In recent decades, computer scientists have been developing increasingly advanced machine learning techniques that can learn ...

This software architecture enables Sima AI to support a wide range of frameworks (e.g., TensorFlow, PyTorch, ONNX, etc.) and compile over 120+ networks. The MLSoC promise – a software-first approach ...

CSIRO's quantum-enhanced AI model boosts chip design accuracy using only 5 qubits, outperforming classical methods in ...

ARM said that it will release its AI design to partners in the middle of 2018, and it expects the first ARM-powered devices to arrive nine months after that.

A new computing architecture enables advanced machine-learning computations to be performed on a low-power, memory-constrained edge device. The technique may enable self-driving cars to make ...

Given the vast array of machine-learning models, designing specific architectures to accommodate all of them efficiently can be a challenge. To address this, some firms are exploring chip designs ...

While getting an industry award, Apple Silicon chief Johny Srouji said that he wants generative AI to design chips, which has been blown out of proportion to mean that Apple hasn't ever used AI to do ...

The Spiking Neural Processor T1 is an AI chip that's modeled on the way the brain detects patterns and could extend the ...

What Is The Future Of Chip Architecture? ... These chips hold promise for excelling at tasks like pattern recognition and machine learning, potentially revolutionising AI applications.

New machine learning algorithm promises advances in computing Digital twin models may enhance future autonomous systems Date: May 9, 2024 Source: Ohio State University ...