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

With data science constantly evolving, new applications and techniques emerge, ensuring a diverse range of opportunities for ...

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 ...

Oxygen is essential for living organisms, particularly multicellular life, to metabolize organic matter and energize all life ...

With the availability of effective treatment and prevention methods for these STIs, the major uptick is a source of both ...

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

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

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

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

While analysing animal behaviour used to take many days of painstaking manual work – and still does in most research ...

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