Fox News Flash top headlines for September 4 are here. Check out what's clicking on Foxnews.com Zao, a Chinese app that uses "deepfake" technology to let users superimpose themselves onto the faces of movie and TV stars, has sparked a privacy backlash amid concerns about identity theft. Deepfakes are created using artificial intelligence and facial mapping technology to yield false, but realistic clips. Celebrities and public figures, such as Facebook CEO Mark Zuckerberg, have been "featured" in deepfake videos.

It's that time of year when football fans across the country get ready to cheer on their favorite professional and college teams. Aside from keeping tabs on the game from your big screen or mobile phone, you can also rely on Google Assistant to you be in the know this season. Google Assistant is similar to Amazon's Alexa and Apple's Siri and can help you keep track of everything you need to bring to your game day tailgate while staying up-to-date on the latest scores from your favorite teams. To engage with the smart speaker, say, "Hey Google," or "OK, Google," and ask your question. There's no need to repeat the greeting during a conversation because Google Assistant can hold a continuous conversation.

This Jan. 22, 2018, file still frame from video provided by KCBS-TV shows a Tesla Model S electric car that has crashed into a fire engine on Interstate 405 in Culver City, Calif. DETROIT – A government report says the driver of a Tesla that slammed into a firetruck near Los Angeles last year was using the car's Autopilot system when a vehicle in front of him suddenly changed lanes and he didn't have time to react. The National Transportation Safety Board said Tuesday the driver never saw the parked firetruck and didn't brake. The report raises further questions about the effectiveness of Tesla's system, which was in operation before several other crashes including two fatalities in Florida and one in Silicon Valley. Tesla warns drivers that the system is not fully autonomous and drivers must be ready to intervene.

Sergio Consoli is a Senior Scientist within the Data Science department at Philips Research, Eindhoven, focusing on advancing automated analytical methods used to extract new knowledge from data for health-tech applications. He is author of several research publications in peer-reviewed international journals, edited books, and leading conferences in the fields of his work. Diego Reforgiato Recupero is Associate Professor at the Department of Mathematics and Computer Science of the University of Cagliari, Italy. His interests span from Semantic Web, graph theory and smart grid optimization to sentiment analysis, data mining, big data, machine and deep learning and natural language processing. He is also affiliated within the ISTC institute at the National Research Council (CNR) and co-founder of six ICT companies two of which are university spin-offs.

While 3D printing soft materials, such as silicone or proteins, offers many advantages, it also introduces many new and complicated variables to consider when creating a new part. The existing soft materials that can be 3D printed commercially are somewhat limited since they don't have all the properties that researchers need to fully advance their developments and they end up working within the constraints of the current technology. One of the main problems with 3D printing a soft material is that it tends to deform under the forces that normally occur, sometimes even during the build, so they require support materials. According to researchers from the College of Engineering at Carnegie Mellon University, that means that additive manufacturing of soft materials requires optimization of printable inks, formulations of these feedstocks, and complex printing processes that must balance a large number of disparate but highly correlated variables (such as metal powder particle size, melt pool shape and size or filament feeding rate, extrusion width, linear plotting speed and layer thickness or suspension viscosity). Due to the critical need for integrated methodologies, they have come up with a hierarchical machine learning (HML) algorithm that optimizes parameters of these type of materials for 3D printing, using Freeform Reversible Embedding (FRE)–a recently developed method for 3D printing of liquid polymer precursors that involves controlled deposition of a fluid precursor into a supporting aqueous bath.

The Wizard of Oz movie is filled with classic quotes. One of them is simply, "Pay no attention to that man behind the curtain!" That quote, of course, occurs when Dorothy's dog, Toto, pulls back a curtain to reveal a man at a control panel and microphone. Rather than the sought-after magical Wizard of Oz, the man is, at best, a wizard of special effects. Today, nearly 80 years after the first release of the movie version of Wizard of Oz, we live with a wizard of our own making who is now often behind the curtain in video games, movies and sporting events.

Originally from New Jersey, Eric is a automotive & technology reporter covering the high-tech industry in Silicon Valley. Eric has over 15 years of automotive experience and a bachelors degree in computer science. These skills, combined with technical writing and news reporting, allows him to fully understand and identify new and innovative technologies in the auto industry and beyond. He has worked at Uber on self-driving cars and as a technical writer, helping people to understand and work with technology. Outside of work, Eric likes to travel to new places, play guitar, and explore the outdoors.

Raed Kadri, Director, Automotive Technology and Mobility Innovation at OCE sits down with Charles Chung, CEO, Brisk Synergies. Brisk Synergies specializes in automated road safety analysis, using computer vision and AI to help predict future collision rates and understand traffic flow on the roads. Learn more at: https://brisksynergies.com/ AVIN's (Autonomous Vehicle Innovation Network) cONnected with series explores Ontario's connected and autonomous vehicles innovation ecosystem across Ontario, showcasing technology, research and entrepreneurship across the province.

Machine learning is impacting countless industries, from the recent discovery of a black hole to improving healthcare, we are just scratching the surface. The retail industry is a prime example. Retailers and manufacturers are racing to figure out how they can employ machine learning to target specific consumers, monitor trends, and discover new pricing models. While retailers and manufacturers are doubling down on new ways to target and sell to consumers, Jia Rui Ong, a two-time Nanodegree program graduate, and his team are employing machine learning to help you, the consumer, find the best price for the clothing you desire. We recently had a chance to sit down with Jia Rui Ong and his team at Yux to discuss their product, as well as, our newly updated Machine Learning Nanodegree program.

This article is part of CMO.com's Industry Spotlight 2019 collection. Digital technology is advancing at breakneck speed--and it's putting pressure on businesses to produce new apps, tools, and technologies as they seek to compete in the digital economy. Not surprisingly, emerging technologies are at the center of this revolution. Artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT) are unleashing enormous changes. Ditto for augmented reality (AR) and virtual reality (VR), chatbots, image and voice recognition, advanced GPS, and analytics.