You’ll need to prick up your ears for this slice of deepfakery emerging from the wacky world of synthesized media: A digital version of Albert Einstein — with a synthesized voice that’s been (re)created using AI voice cloning technology drawing on audio recordings of the famous scientist’s actual voice.
The startup behind the “uncanny valley” audio deepfake of Einstein is Aflorithmic (whose seed round we covered back in February).
Developing Next Generation Artificial Intelligence To Serve Humanity — Dr. Patrick Bangert, Vice President of AI, Samsung SDS.
Dr. Patrick D. Bangert, is Vice President of AI, and heads the AI Engineering and AI Sciences teams, at Samsung SDS is a subsidiary of the Samsung Group, which provides information technology (IT) services, and are active in research and development of emerging IT technologies such as artificial intelligence (AI), blockchain, Internet of things (IoT) and Engineering Outsourcing.
Dr. Bangert is responsible for the Brightics AI Accelerator, a distributed ML training and automated ML product, and for X.insights, a data center intelligence platform.
Among his other responsibilities, Dr. Bangert acts as a visionary for the future of AI at Samsung.
Before joining Samsung, Dr. Bangert spent 15 years as CEO at Algorithmica Technologies, a machine learning software company serving the chemicals and oil and gas industries. Prior to that, he was assistant professor of applied mathematics at Jacobs University in Germany, as well as a researcher at Los Alamos National Laboratory and NASA’s Jet Propulsion Laboratory.
Dr. Bangert obtained his machine learning PhD in mathematics and his Masters in theoretical physics from University College London.
A German native, Dr. Bangert grew up in Malaysia and the Philippines, and later lived in the UK, Austria, Nepal and USA. He has done business in many countries and believes that AI must serve humanity beyond mere automation of routine tasks.
Dr. Bangert is also an accomplished author, having written two books including — Machine Learning and Data Science in the Oil and Gas Industry: Best Practices, Tools, and Case Studies and Optimization for Industrial Problems.
AI, self-driving cars, robotics and more… all in one place.
Find out more about our upcoming Global Technology Governance Summit: https://wef.ch/2NJDej0 # GTGS21.
U.S. robotics company Boston Dynamics unveiled a new robot called ‘Stretch,’ designed to perform one very specific warehouse job: moving boxes https://reut.rs/3wc6SOW
A decade ago, the artificial-intelligence pioneer Geoffrey Hinton transformed the field with a major breakthrough. Now he’s chasing the next big advance—with an “imaginary system” named GLOM, outlined in a recent paper titled, “How to represent part-whole hierarchies in a neural network.”
When most Americans think of the infrastructure projects the Biden administration is proposing in the American Jobs Plan, they think of concrete, steel, and labor. But what if the biggest predictor of the success of the infrastructure plan is not in the materials but in artificial intelligence (AI) and machine learning (ML)?
Electrek spoke with Monte Zweben, CEO of Splice Machine, a database company that helps utilities and industrial companies implement data, about how AI/ML technologies could determine whether the American Jobs Plan succeeds as the US transitions to clean energy.
A new survey illustrates broad acceptance for robots in retail, including these crucial tasks.
Despite artificial intelligence and robotics adapting to many other areas of life and the work force, construction has long remained dominated by humans in neon caps and vests. Now, the robotics company Baubot has developed a Printstones robot, which they hope to supplement human construction workers onsite.
Baubot manufacturers built this robot with the capacity to transport heavy loads, lay bricks and even sand sheetrock. So far, the Austria-based company has come out with two robots – a smaller prototype with a 40-inch arm and a larger robot with an 82-inch arm.
Users can switch out the type of digits at the end of each arm depending on what type of task they need the bot to perform. For example, an arm tip has the ability to cut, drill, sand and also use a suction feature to elevate heavy rocks into the proper location. Both types of robot can transport over one ton of material.
