IBM AI Project Debater scores 1 – 1 vs man in 2 debates

The AI, called Project Debater, appeared on stage in a packed conference room at IBM’s San Francisco office embodied in a 6ft tall black panel with a blue, animated “mouth”. It was a looming presence alongside the human debaters Noa Ovadia and Dan Zafrir, who stood behind a podium nearby. Although the machine stumbled at Read more about IBM AI Project Debater scores 1 – 1 vs man in 2 debates[…]

Here’s some phish-AI research: Machine-learning code crafts phishing URLs that dodge auto-detection

An artificially intelligent system has been demonstrated generating URLs for phishing websites that appear to evade detection by security tools. Essentially, the software can come up with URLs for webpages that masquerade as legit login pages for real websites, when in actual fact, the webpages simply collect the entered username and passwords to later hijack Read more about Here’s some phish-AI research: Machine-learning code crafts phishing URLs that dodge auto-detection[…]

EU sets up High-Level Group on Artificial Intelligence

Following an open selection process, the Commission has appointed 52 experts to a new High-Level Expert Group on Artificial Intelligence, comprising representatives from academia, civil society, as well as industry. The High-Level Expert Group on Artificial Intelligence (AI HLG) will have as a general objective to support the implementation of the European strategy on AI. Read more about EU sets up High-Level Group on Artificial Intelligence[…]

Significant Vulnerabilities in Axis Cameras – patch now!

One of the vendors for which we found vulnerable devices was Axis Communications. Our team discovered a critical chain of vulnerabilities in Axis security cameras. The vulnerabilities allow an adversary that obtained the camera’s IP address to remotely take over the cameras (via LAN or internet). In total, VDOO has responsibly disclosed seven vulnerabilities to Read more about Significant Vulnerabilities in Axis Cameras – patch now![…]

Transforming Standard Video Into Slow Motion with AI

Researchers from NVIDIA developed a deep learning-based system that can produce high-quality slow-motion videos from a 30-frame-per-second video, outperforming various state-of-the-art methods that aim to do the same. The researchers will present their work at the annual Computer Vision and Pattern Recognition (CVPR) conference in Salt Lake City, Utah this week.  “There are many memorable Read more about Transforming Standard Video Into Slow Motion with AI[…]