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

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

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 ...

In a first, Australian scientists turned to quantum machine learning to model semiconductor design, outperforming classical ...

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 ...

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 ...

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.

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.

By enabling deep learning to run at the speed of light, this chip could allow edge devices to perform real-time data analysis ...

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