The team behind IBM's RoboRXN platform explains how AI, robotics, and the cloud can change the future of drug and chemicals research.
Neuroscientist Daeyeol Lee discusses different modes of reinforcement learning in humans and animals, AI and natural intelligence, and future directions of research.
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.
Neuroscience-inspired deep learning architectures are more resilient to adversarial attacks, researchers at MIT and IBM have found.
The Self-Assembling Brain, a book by neurobiology professor Peter Robin Hiesinger, sheds light on a largely ignored aspect of intelligence.
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.