Key TakeawaysThe Materials Project is the most-cited resource for materials data and analysis tools in materials science.The ...

The key distinction between IT and Computer Science is in their focus and responsibility: the former is application-oriented, ...

Recent advances in the field of artificial intelligence (AI) have opened new exciting possibilities for the rapid analysis of ...

Initiative aims to publish a formally verified implementation of Shor’s quantum factoring algorithm with relevance to cryptography and other high-value domains ...

Abstract: Artificial intelligence (AI) is an emerging technology in in future generation in various technologies. In wireless networks for communications, implementing Machine learning (ML) and deep ...

Abstract: The monitoring of global soil moisture is crucial for understanding the hydrological cycle and managing terrestrial water resources. The Chinese-French Oceanography Satellite (CFOSAT), ...

O n Tuesday, researchers at Stanford and Yale revealed something that AI companies would prefer to keep hidden. Four popular ...

For decades, the process of drug discovery has been a prolonged, costly, and unpredictable endeavor — an effort that ...

While the capabilities of robots have improved significantly over the past decades, they are not always able to reliably and ...

In a sense, it sounds like that’s another facet of computational thinking that’s more relevant in the age of AI—the abstractions of statistics and probability in addition to algorithms and data ...

When a grizzly bear attacked a group of fourth- and fifth-graders in western Canada in late November 2025, it sparked more ...

Quantum computers promise unprecedented computing speed and power that will advance both business and science. These same ...