LinkedIn released data on the jobs that have been experiencing the most growth in numbers over the past few years, and it's fair to say that tech and data skills are among the fastest-growing ...

With the help of machine learning, scientists have identified a plethora of previously-unidentified drug targets for breast cancer, cervical cancer, glioblastoma and more. In a study published Jan. 11 ...

Chemists have developed a new machine-learning (ML) framework that can zero in on which steps of a multistep chemical conversion should be tweaked to improve productivity. The approach could help ...

Investing in biopharma has never been for the faint of heart. So headline figures unveiled from a clinical development success report during the BIO CEO & Investor Conference Feb. 17, putting the ...

Dynamic signature identification is a key feature at Damballa. With the use of machine learning it creates generic signatures and inspects each packet looking for “patterns of activity” in order to ...

Researchers at the Berryville Institute of Machine Learning (BIML) have developed a formal risk framework to guide development of secure machine-language (ML) systems. BIML's architectural risk ...

Back and forth transmission of SARS-CoV-2 between people and other mammals increases the risk of new variants and threatens efforts to control COVID-19. A new study, published today in Proceedings of ...

University of Idaho receives over $6M in DoD grants to advance machine learning research for PTSD diagnosis and military ...

UPTON, NY—Chemists at the U.S. Department of Energy’s Brookhaven National Laboratory have developed a new machine-learning (ML) framework that can zero in on which steps of a multistep chemical ...

A new study used a novel modelling approach to predict the zoonotic capacity of 5,400 mammal species, extending predictive capacity by an order of magnitude. Of the high risk species flagged, many ...