We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Artificial intelligence is increasingly used to integrate and analyze multiple types of data formats, such as text, images, ...

MIT researchers have developed a method that generates more accurate uncertainty measures for certain types of estimation.

This study leverages advanced genomics and machine learning to refine the understanding of key fruit quality traits in ...

The recent Harvard report on grading practices has drawn a lot of attention from colleges and universities across the country, particularly for its claim that grade inflation remains a critical issue.

A recent EdWeek Research Center survey found that 75% of teachers, principals, and district leaders said their schools or ...

A NIMS research team has developed a new experimental method capable of rapidly evaluating numerous material compositions by ...

Embodied learning for object-centric robotic manipulation is a rapidly developing and challenging area in embodied AI. It is ...

A small but growing number of educators are experimenting with oral exams to circumvent the temptations presented by powerful ...

Like disadvantageous inequity aversion, advantageous inequity aversion can be learned by observing another’s fairness preferences.

The U.S. Supreme Court today declined to grant a petition filed by Recentive Analytics, Inc. asking the Court to weigh in on ...

Different techniques of math education open new avenues to help students grasp basic concepts, unlocking access to a vast ...