AI Weekly: Machine learning could lead cybersecurity into uncharted territory

by VentureBeat

VentureBeat— Security firms are coming to rely on more AI, but we don't know how things will escalate once the perpetrators of cyberattacks start using machine learning.

VentureBeat—AI Weekly: Why a slow movement for machine learning could be a good thing. Members of the AI research community suggest a 'slow movement' -- and perhaps a moratorium on papers -- to combat the pervasive push for results.

TechSpot—Arm brings AI and machine learning to IoT and the edge. In addition, it has a small but growing market in data center and other network infrastructure equipment and is the long-time leader in intelligent devices of various types—from toys to cars and nearly everything in between; essentially the “things” part of IoT (Internet of Things).

TechCrunch—Fiddler Labs, SRI and Berkeley experts open up the black box of machine learning at TC Sessions: Robotics+AI – TechCrunch. As AI permeates the home, work, and public life, it’s increasingly important to be able to understand why and how it makes its decisions. Explainable AI isn’t just a matter of hitting a switch, though; Experts from UC Berkeley, SRI, and Fiddler Labs will discuss how we should go about it on stage at TC [