Actress Sharon Stone has been reinstated on Bumble after revealing that her account was blocked when users reported her profile as fake. No wingman is needed when celebrities ask out other stars. Such was the case for Marvel star Simu Liu when he took his shot at actress Sharon Stone, 61, who was booted from the dating app Bumble after her profile was flagged as fraudulent. The 30-year-old Chinese-Canadian actor wasted no time in putting the moves on Stone via social media. "Hey, I don't have bumble but uh… what are you doing like six months from now?" Liu replied to Stone in a tweet.

We're really excited about Sitecore Cortex. We can see many ways in which it will make the marketers that use the platform happy. You may have heard about Cortex and are wondering what it is exactly and how it might benefit you. Maybe you haven't heard about Cortex, but are interested in what Sitecore is doing with Artificial Intelligence (AI) and Machine learning. Here's our thoughts on what we consider to be a potential game changer.

"The potential benefits are huge, since everything that civilization has to offer is a product of human intelligence; we cannot predict what we might achieve when this intelligence is magnified by the tools AI may provide, but the eradication of disease and poverty are not unfathomable. Because of the great potential of AI, it is important to research how to reap its benefits while avoiding potential pitfalls." It is a sunny morning in Bangalore. Rahul is a young machine learning expert working for a globally dominant technology platform company. He has come up the hard way from a low income family. He secured excellent marks in school and cracked the engineering entrance exam.

It's hard to read about a new advancement in technology these days without the mentioning of artificial intelligence (AI).

One area that continues to see rapid advancement is artificial intelligence (AI).

AI and robotics are increasingly working together. As 2019 winds down, every news media and technology site is pausing to reflect on the biggest trends of the past year. Some aspects of robotics and artificial intelligence are advancing rapidly; others, not so much. What should AI and robotics developers recall as they prepare for a new year? In your opinion, what was the biggest news in AI and robotics in 2019?

Through AI, technology is making life easier. Machine learning is being used to learn human behavior so that apps can predict what you might want and at what time. In this way, some activities like ordering groceries, watching movies, listening to music, and more are done for you by their respective apps. Here is how AI improves daily living. If you are looking for top technology in home security, be sure to go for alarm and camera systems that are AI-integrated.

Engineers have created a new deep-learning software capable of assessing complex audience reactions to movies using the viewer's facial expressions. Developed by Disney Research in collaboration with Yisong Yue of Caltech and colleagues at Simon Fraser University, the software relies on a new algorithm known as factorized variational autoencoders (FVAEs). Variational autoencoders use deep learning to automatically translate images of complex objects, like faces, into sets of numerical data, also known as a latent representation or encoding. The contribution of Yue and his colleagues was to train the autoencoders to incorporate metadata (pertinent information about the data being analyzed). In the parlance of the field, they used the metadata to define an encoding space that can be factorized. In this case, the factorized variational autoencoder takes images of the faces of people watching movies and breaks them down into a series of numbers representing specific features: one number for how much a face is smiling, another for how wide open the eyes are, etc. Metadata then allow the algorithm to connect those numbers with other relevant bits of data--for example, with other images of the same face taken at different points in time, or of other faces at the same point in time.

Researchers at the University of Central Florida think artificial intelligence could help move that process forward faster. The team's work so impressed …