A study led by UC Riverside researchers offers a practical fix to one of artificial intelligence's toughest challenges by ...

Rebecca Qian is the Co-Founder and CTO of Patronus AI, with nearly a decade of experience building production machine ...

AI"s inability to continually learn remains one of the biggest problems standing in the way to truly general purpose models.

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

As financial crime grows in scale, speed, and sophistication, banks are increasingly turning to artificial intelligence, ...

Machine learning algorithms can predict which candidates are more likely to succeed in a given role by analyzing past hiring ...

The future and past, in a loop Independent films like Humans in the Loop (2024) can get lost in the sea of mainstream cinema.

Health Expert in the Loop is the clinical expertise infrastructure needed for safe, responsible, and scalable healthcare AI Network of more than 4,000 health experts available to train and validate AI ...

Abstract: The inflexible human-autonomy relationship within autonomous driving scenarios still has not realized synergetic intelligence, therefore unable to provide adaptive and context-sensitive ...

The machine learning training set included 2,400 participants. Test set 1 included 2,840 participants drawn from the same original sample batch with balanced age and sex representation. Test set 2 ...

According to @godofprompt, a new AI prompt framework modeled on Richard Feynman’s teaching style enables users to learn complex topics up to ten times faster by breaking down concepts with analogies, ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...