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.
AI will transform our world and the businesses leading the future, but only if it is easily accessible to everyone
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.
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...
Boston University's Kate Saenko discusses explainable AI and interpreting decisions made by deep learning algorithms and neural networks.
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...
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...
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.