Researchers look to deep learning techniques in order to streamline the time-consuming process of identifying 2D materials.

The study earned the multi-institutional team a finalist nomination for the Association for Computing Machinery’s Gordon Bell ...

A new scientific statement highlights new clinical data related to diagnosis, risk classification and treatment, emphasizing the need for tailored management strategies. Advances in cardiac imaging ...

Apply recent data-driven techniques centered around artificial intelligence and ... We welcome contributions from a broad range of disciplines, including materials science, structural engineering, ...

Amy covers higher education. She was previously a data reporter for the Center for Public Integrity. While at Public Integrity, her reporting on students experiencing homelessness received a special ...

The Infosys Science Foundation (ISF) revealed the winners of the 2024 Infosys Prize, recognizing six exceptional researchers ...

As broad as the message is, Nadkarni’s chief area of study is quite specific. Dubbed the “Queen of the Canopy,” Nadkarni is considered a pioneer for her 40-plus-year study of the complex dynamics amid ...

The potential for machine learning to transform data-intensive businesses is undeniable, but realizing this potential ...

AI provides a revolutionary approach to CRM security by utilizing its data analysis, anomaly detection, and threat ...

The main hurdle to creating a data-driven culture is shared by every operational shift: changing a company’s ingrained ...

It’s claimed that more information can solve our crises, from climate change to Gaza. But the world today shows how this ...

As the digital landscape evolves, computational storage devices are becoming increasingly vital for enhancing data processing ...