Boston University's Kate Saenko discusses explainable AI and interpreting decisions made by deep learning algorithms and neural networks.
Neuroscientist Daeyeol Lee discusses different modes of reinforcement learning in humans and animals, AI and natural intelligence, and future directions of research.
Researchers at the University of Maryland discuss why security must be part of the machine learning research process.
Harvard Medical University Professor Gabriel Kreiman discusses biological and computer vision and explains what separates current AI systems from the human visual cortex.
GoPractice CEO and founder Oleg Yakubenkov discusses how he created a unique product management simulator course.
Unfortunately, it is fair to say that the vulnerabilities of Internet of Things (IoT) are preceding its innovations and utilities. From the hacking of the Ukraine power grid, to last year’s DDoS attack against the...
If you’ve been following technology news, you’ve probably heard of end-to-end encryption. It’s the technology that makes sure the data you send—whether it’s a file, an email, or...
The Self-Assembling Brain, a book by neurobiology professor Peter Robin Hiesinger, sheds light on a largely ignored aspect of intelligence.
Nenshad Bardoliwalla, chief product officer at DataRobot, discusses challenges machine learning in different sectors and how no-code platforms are helping democratize AI.
Alex Momot, Founder and CEO of REMME, shares insights on the opportunities and challenges of IoT and which direction the industry should take.