In synthetic and structural biology, advances in artificial intelligence have led to an explosion of designing new proteins ...

Innovative X-ray technology from Hamamatsu Photonics improves safety standards in food and non-destructive testing through ...

The Minister for the National Disability Insurance Scheme (NDIS) Jenny McAllister said that the University of Melbourne and ...

People often compare the genome to a computer's program, with the cell using its genetic code to process environmental inputs ...

Every wager carries a question: is the outcome determined by pure luck or by the player''s decisions? In modern iGaming, this ...

Smart Adaptive Elevator Algorithm Market To Reach $6.02 Billion By 2029 With 16.2% CAGR. of 16.6%. Factors contributing to the historical growth include the widespread uptake of smart building ...

With AI moving at a fast pace, oculomics — the study of the eye as a window to systemic health — is expanding its potential ...

A team with Professor Krishna Shrinivas designed a computational framework using machine learning algorithms to design ...

“In the best-case scenario, when you adopt these new techniques, even on the same old data, it’s kind of like putting on glasses for the first time, and you can see the leaves on the trees,” said Kyle ...

"We cannot stop the rain, but we can reduce flooding through science," said Pham Minh Hai, deputy director of the National ...

An insurer used satellite images to flag a homeowner’s roof. Find out how AI and aerial data are reshaping home insurance.

In a paper published in PNAS, a University of Michigan team proposes that fundamental principles of control theory and observability can be applied to study biological processes that change over time.