A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...

India's revamped quarterly GDP series will use GST, e-Vahan and gas consumption data, adopting IMF-recommended methods to ...

China personal information protection signals from the CAC’s January 2026 Q&A, covering sensitive data, facial recognition, and DPO.

Prediabetes is an extremely heterogeneous metabolic disorder. Scientists from several partner institutes of the German Center ...

With already thin profit margins and increasingly uncertain farm labor and other input costs, precision agriculture ...

One in five insurance entities operating in Bermuda has yet to complete the classification of its data, a basic regulatory requirement under the Bermuda Monetary Authority’s cyber-risk framework, ...

FBI wants input on a classified, identity-based biometric system designed to operate at the Secret and Top Secret/Sensitive ...

In a study conducted at the University of Helsinki, AI was trained to classify bird sounds with increasing accuracy. The ...

A UNH team led by Benjamin Fraser showed that remote monitoring of corn fields using unmanned aerial vehicles provides accurate plot- and field-level data more efficiently and with less labor than ...

The Institute for the Advancement of Food & Nutrition Science publishes a list of general principles it hopes will inform any ...

Financial services data leaders face a fundamental paradox: they have unprecedented access to data assets, yet they continue to encounter persistent barriers to value creation. Success hinges not on ...