Computer model predicts who needs lung cancer screening

A machine learning model equipped with only data on people’s age, smoking duration and the number of cigarettes smoked per day can predict lung cancer risk and identify who needs lung cancer screening, according to a new study publishing October 3rd in the open access journal PLOS Medicine by Thomas Callender of University College London, UK, and colleagues.

How Scientists Are Accelerating Next-Gen Microelectronics

In a new Q&A, microelectronics expert and CHiPPS Director Ricardo Ruiz shares his perspective on keeping pace with Moore’s Law in the decades to come through a revolutionary technique called extreme ultraviolet lithography.

Using Machine Learning to Better Understand How Water Behaves

New research from the Georgia Institute of Technology uses machine learning models to better understand water’s phase changes, opening more avenues for a better theoretical understanding of various substances. With this technique, the researchers found strong computational evidence in support of water’s liquid-liquid transition that can be applied to real-world systems that use water to operate.