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.
Boston University's Kate Saenko discusses explainable AI and interpreting decisions made by deep learning algorithms and neural networks.
Alex Momot, Founder and CEO of REMME, shares insights on the opportunities and challenges of IoT and which direction the industry should take.
AI will transform our world and the businesses leading the future, but only if it is easily accessible to everyone
Kaufmann, cofounder of Starmind, talks about the current progress of artificial intelligence, how the human brain works and what it takes to create human-grade AI.