IBM Watson's CTO describes the opportunities, prospects and challenges that lie ahead for artificial intelligence–powered chatbots
Cybersecurity is one of the most fluid and changing fields of the tech industry. Every year, new threats and challenges emerge, outpacing past records and expectations. In this respect 2016 was no different. But as...
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.
Artificial intelligence provides a unique opportunity to give back the gift of time to doctors and patients.
Alex Momot, Founder and CEO of REMME, shares insights on the opportunities and challenges of IoT and which direction the industry should take.
As Artificial Intelligence evolves from myth and buzzword into a reality that permeates every aspect of our lives, much speculation is made over what the future challenges will be. Among them is the effect of...
Stina Ehrensvard, CEO and co-founder of Yubico, explains how the authentication space has evolved in the past 12 years.
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.
GoPractice CEO and founder Oleg Yakubenkov discusses how he created a unique product management simulator course.