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Scientists use quantum machine learning to create semiconductors for the first time – and it could transform how chips are made

Microchips power almost every modern device — phones, laptops and even fridges. But behind the scenes, making them is a complex process. But researchers say they have found a way to tap into the power ...
Semiconductor Engineering

Accelerating Semiconductor Innovation Through Machine Learning-Driven Modeling

The semiconductor industry is entering an era of unprecedented complexity, driven by advanced architectures such as Gate-All-Around (GAA) transistors, wide-bandgap materials like GaN and SiC, and ...
Business Wire

Semiconductor Cybersecurity Market Research Report 2024-2034: Innovations in AI and Machine Learning, Quantum-Safe Cryptography, Secure Semiconductor Designs, and Use of Zero ...

DUBLIN--(BUSINESS WIRE)--The "Semiconductor Cybersecurity Market - A Global and Regional Analysis: Focus on Application, Deployment Type, Solution, Security Type, and Region - Analysis and Forecast, ...
Semiconductor Engineering

DL Atomistic Semi-Empirical Pseudopotential Model For Nanomaterials (UC Berkeley, LBNL et al.)

A new technical paper titled “Deep-learning atomistic semi-empirical pseudopotential model for nanomaterials” was published ...
Quanta Magazine

What Is Machine Learning?

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...
Live Science

Scientists use quantum machine learning to create semiconductors for the first time – and it could transform how chips are made

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend of artificial intelligence and quantum computing. When you purchase through ...