MIT postdoctoral associate Arunav Kumar discusses his work on magnetohydrodynamic stability, plasma control in tokamaks, and ...
Neuroscientist Vivienne Ming argues in her new book that the biggest risk of artificial intelligence is people using it too ...
GBH Morning Edition host Mark Herz spoke with MIT computer science professor Marzyeh Ghassemi about AI's use in medicine.
Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...
Every year, the countries competing in the International Mathematical Olympiad arrive with a booklet of their best, most ...
Boehringer is expanding its global Computational Innovation footprint with a new center dedicated to AI and machine learning (ML) in the UKEstablishing a presence in King’s Cross, London, places Boehr ...
The organisations seeing real value from AI aren’t skipping steps, they’re getting the fundamentals right first.
According to CEO Helen Gu, the biggest problem facing the industry today is not just monitoring and diagnosing where AI ...
The Office of Undergraduate Research organizes the Symposium of Student Scholars twice per year, offering students a unique ...
Identification of each animal in a collective becomes possible even when individuals are never all visible simultaneously, enabling faster and more accurate analysis of collective behavior.
Alumna, author and machine learning expert Vivienne Ming explains why the best defense against AI's downsides is investing in ...
An overview of ISO 25500 and the importance of compliance with this standard to support AI adoption in supply chain ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results