AI in health care
Philips's Tina Manoharan on AI research in health care and the challenges of applying AI in real-world health applications.
adversarial attack computer vision
Neuroscience-inspired deep learning architectures are more resilient to adversarial attacks, researchers at MIT and IBM have found.
artificial intelligence conscience
Does artificial intelligence require moral values? We spoke to Patricia Churchland, neurophilosopher and author of "Conscience: The Origins of Moral Intuition"
IBM RoboRXN lab
The team behind IBM's RoboRXN platform explains how AI, robotics, and the cloud can change the future of drug and chemicals research.
Product management app design
GoPractice CEO and founder Oleg Yakubenkov discusses how he created a unique product management simulator course.
Yubico Yubikey security keys
Stina Ehrensvard, CEO and co-founder of Yubico, explains how the authentication space has evolved in the past 12 years.
doctor patient healthcare medicine
Artificial intelligence provides a unique opportunity to give back the gift of time to doctors and patients.
In his book Augmented Mind, Alex Bates argues that the real opportunities of AI lie in augmenting humans, not replacing them.
Deep learning and neural networks are becoming increasingly accurate at performing complicated tasks. But are they robust as well. Researchers at MIT-IBM Watson AI Lab have developed methods to evaluate the robustness of neural networks against adversarial examples.
DARPA's XAI initiative aims to shed light inside the black box of artificial intelligence algorithms. Project Manager Dave Gunning explains how the agency is working to create explainable AI tools that will build trust and reliability into AI models.