If you have ever left a Telegram signal group feeling burned — prices already moved by the time the alert hit your phone, the ...

In his keynote address, Prof. Sastry emphasized that AI is dramatically accelerating drug discovery timelines, reducing costs, and enabling precision-driven research outcomes.

Analogue engineering still relies heavily on manual intervention, but that is changing with the growing use of AI/ML.

Abstract: Future carrier networks for 6G are expected to verify the performance across heterogeneous networks integrating multiple technologies. This integration requires effective verification of ...

Assessment of Topographic Wetness Index for Flood-Prone Zone Delineation in the Yola Sub-Basin, Nigeria, Using ...

The use of generative AI enables a novel computational approach to localize individual trees in all cities, despite their ...

Numerical modeling of ore-forming dynamics and 3D mineral prospectivity modeling are pivotal for deep mineral exploration, though each has inherent constraints. Commercial software such as FIDAP and ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Abstract: Synthetic simulation of Interferometric Synthetic Aperture Radar (InSAR) data plays a critical role in algorithm development, mission design, and machine learning pretraining. However, most ...

Objective: This study evaluated the feasibility of using a smartphone app to predict mental health risks in non-clinical adolescents by integrating active and passive data streams within a machine ...