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 ...

The system is structured around a client-server architecture designed to provide scalability, remote accessibility, and ...

Astrikos.ai, a leader in AI-driven infrastructure intelligence, is excited to announce the launch of its cutting-edge AI-Powered Data Center Intelligence Platform. This advanced solution is designed ...

To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...

With its smart studios/ labs focusing on new technologies and climate-responsive building, the Department of Architecture and ...

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

Besides, emerging data localisation requirements place increased emphasis on securing critical infrastructure. With the ...

Ensuring trusted execution across multiple chiplets and vendors is more complex than in traditional monolithic SoCs.

A customizable KWS approach reduces resource demands and allows users to easily add their own keywords without machine ...

Taking immediate action on sensor data is vital in modern Internet of Things (IoT) systems. Real-time streaming serves as the fundamental structure of IoT analytics because it enables automated ...