Professor Edmund Lam, Dr Ni Chen and their research team from the Department of Electrical and Electronic Engineering under ...

The field of computational materials science has been profoundly transformed by integrating deep learning and other machine learning methodologies. These sophisticated data-driven approaches have ...

Please provide your email address to receive an email when new articles are posted on . The deep learning system demonstrated an AUC of 0.97, a sensitivity of 91.1%, a specificity of 93.4% and an ...

Figure 1 A team of Greek academic researchers and California entrepreneurs benchmarked their Silicon Photonic (SiPho) neural network technology against processing unit currently on the market and ...

Prostate cancer remains a prevalent threat to men’s health, ranking second in cancer-related deaths in the United States. Each year, approximately 250,000 men in the U.S. receive a prostate cancer ...

When experiments are impractical, density functional theory (DFT) calculations can give researchers accurate approximations of chemical properties. The mathematical equations that underpin the ...

The recently published book Understanding Deep Learning by [Simon J. D. Prince] is notable not only for focusing primarily on the concepts behind Deep Learning — which should make it highly accessible ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Deep learning (DL) is an advanced subset of machine learning (ML), which is behind some of ...