The future of robotics and AI / driverless car technology progress / Fei-Fei Li's mission

Not so long ago, the concept of a fully automated store seemed something of a curiosity. Now, in the midst of the COVID-19 pandemic, the idea of relying on computers and robotics, and checking out groceries by simply picking them off the shelf doesn’t seem so peculiar.

The tech giants have updated their mobile operating systems to conspicuously support the protest movement and downplay counter-protesters.

An experimental tool helps researchers wade through the overwhelming amount of coronavirus literature to check whether emerging studies follow scientific consensus.

The pandemic has accelerated some long-predicted technology habits like telemedicine and online grocery shopping. But driverless car technology might be kicked into reverse.

Some of the improvements in AI comes from tweaks rather than the core innovations their inventors claim—and some of the gains may not exist at all.

After ImageNet transformed AI vision, superstar Stanford Professor Fei-Fei Li has turned her attention to advancing healthcare. She joins Azeem Azhar to discuss her new approach to AI development, starting with interdisciplinary collaboration and focusing on ethical, real-world impact.

In the spring of 1993, a Harvard statistics professor named Donald Rubin sat down to write a paper. Rubin’s paper would go on to change the way that AI is researched and practiced, but its stated goal was more modest: analyze data from the 1990 U.S. census, while preserving the anonymity of its respondents.