Deep learning methods have been used to augment existing energy-based physical models in 'do novo' or from-scratch computational protein design, resulting in a 10-fold increase in success rates ...

Binary digits and circuit patterns forming a silhouette of a head. Neural networks and deep learning are closely related artificial intelligence technologies. While they are often used in tandem, ...

Max Delbrück Center for Molecular Medicine in the Helmholtz Association Altuna Akalin and his team at the Max Delbrück Center have developed a new tool to more precisely guide cancer treatment.

Preferred Networks is a little-known name outside of Japan, but the Toyota-backed artificial intelligence unicorn has big plans to use deep learning to fix "real-world" issues — with the end goal of ...

Research combining deep learning methodologies with Analytic Hierarchy Process establishes comprehensive frameworks for data security risk assessment, achieving systematic evaluation and preventive ...

Wearable sensors integrated with deep learning techniques have the potential to revolutionize seamless human–machine ...