2248: Intel Labs - Real-Time Deepfake Detector and Responsible AI - a podcast by Neil C. Hughes

Intel's Responsible AI work recently revealed FakeCatcher, a deepfake detection technology that can detect fake videos with 96% accuracy. The platform is the world's first real-time deepfake detector that returns results in milliseconds.

FakeCatcher uses Intel's hardware and software to assess "blood flow" signals in real videos to detect inauthenticity. The technology can run up to 72 different detection streams simultaneously on 3rd Gen Intel Xeon Scalable processors. Social media platforms can use this technology to prevent the spread of deepfakes, global news organizations to avoid amplifying manipulated videos, and non-profit organizations to democratize the detection of deepfakes for everyone.

Intel also recently announced its extended collaboration with Mila, an AI research institute in Montreal, to help advance AI techniques to tackle global challenges like climate change, identify drivers of diseases, and expedite drug discovery.

Accelerating the research and development of advanced AI to solve some of the world's most critical and challenging issues requires a responsible approach to AI and the ability to scale computing technology. As leaders in computing and AI, Intel and Mila will work together to tackle some of the challenges the world faces today and drive tangible results.

Lama Nachman, Intel Fellow and Director of Intelligent Systems Research Lab at Intel Labs, joins me on Tech talks Daily in a discussion about Responsible AI and the real-time deepfake detector.

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