Fidest – Agenzia giornalistica/press agency

Quotidiano di informazione – Anno 32 n° 220

Posts Tagged ‘foundational’

Foundational AI technologies, products and services to unlock the human potential risks Fake Media and Deepfakes

Posted by fidest press agency su domenica, 19 maggio 2019

The AI Foundation, a leader in creating foundational AI technologies, products and services to unlock the human potential, as well as Guardian AI to protect society from its risks, has partnered with the Technical University of Munich’s Visual Computing Lab, providing resources for world renowned scientist Professor Matthias Niessner and his team to continue research in artificial intelligence, deep learning and computer vision.
The AI Foundation, headed by CEO Lars Buttler and CTO Rob Meadows, will utilize research from the lab in their development and engineering of products for safe and revolutionary AI, as well as create and publish breakthrough research in the areas of cognitive science, artificial general intelligence, and human behavior. The company recently announced that it expanded its world-class team of scientists with the addition of Joscha Bach, Ph.D., and Delip Rao as vice presidents who will be working closely with researchers at the Technical University of Munich (TUM).
The partnership with TUM is part of the AI Foundation’s larger mission, inviting scientific researchers, media partners, policy-makers, and the global community to join the company in a collective effort to research, identify and combat manipulative AI. The company has already begun to develop a growing community of users reporting suspected fakes and training AI agents with the development of Reality Defender, a guardian-AI protecting against fake media including deepfakes. TUM’s research in advanced AI forensics will enhance the tool’s evolving capabilities; as synthetic images become more advanced, the Reality Defender too will advance, growing more capable of detecting new forms of artificial media.Professor Matthias Niessner leads the Visual Computing Lab at TUM in their research of computer vision, graphics, and machine learning, focused on how these intersect as well as cutting-edge techniques for 3D reconstruction, semantic 3D scene understanding, video editing, and AI-driven video synthesis. He has published over 70 academic papers and has instructed at Stanford University as a visiting assistant professor. Niessner’s research has received worldwide acclaim and has been featured in The New York Times, The Wall Street Journal, Spiegel and MIT Technological Review, among others. He is a TUM-IAS Rudolph Moessbauer Fellow and has won several awards, including the Google Faculty Award for Machine Perception, the Nvidia Professor Partnership Award and the European Research Council Starting Grant’s award of over $1.5M in research funding.

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