Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by ...

Quantum computers could rapidly solve complex problems that would take the most powerful classical supercomputers decades to ...

X-ray tomography is a powerful tool that enables scientists and engineers to peer inside of objects in 3D, including computer ...

Domain adaptation remains a significant challenge in artificial intelligence, especially when models trained in one domain are required to perform well in another.

Researchers at Shanghai Jiao Tong University have made a groundbreaking discovery in the field of Temporal Knowledge Graphs ...

Uber co-founder Garrett Camp's first donation to a European institute Veronika Oleksyn Communications, Events and S ...

Enzymes with specific functions are becoming increasingly important in industry, medicine and environmental protection.

Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in ...

Grammatical error correction (GEC) is a key task in natural language processing (NLP), widely applied in education, news, and ...

Artificial Intelligence (AI) models are only as good as the data on which they are trained. Yet gathering enough high-quality ...

As Texas rolls out 'Education Freedom Accounts' for 2026-27, local microschools and national operators prepare for growth in ...

The 2024 Nobel Prize in Chemistry was recently granted to David Baker, Demis Hassabis and John M. Jumper, renowned for their pioneering works in ...