In a U.S. regulatory filing, Baidu said it would list iQiyi on the Nasdaq exchange and is seeking to raise around $1.5 billion. Analysts at Jefferies have valued iQiyi at $17 billion. The move comes as Baidu looks to raise money for the loss-making unit to stay ahead in the fiercely competitive video-streaming sector where tech titans Tencent Holdings Ltd. TCEHY 2.24% and Alibaba Group Holding Ltd. BABA -1.00% also have strong plays. Baidu told investors in its most recent earnings call that it would remain iQiyi's controlling shareholder. IQiyi, which was founded in 2010 and will list under the ticker IQ, said it is China's largest video-streaming service by amount of time spent watching, with more than 50 million paid subscribers.

Netflix's huge selection of films and TV is finally coming to Sky. The Sky Q box will soon be able to show the various video offered by Netflix, the two companies have said. New and existing customers will be able to watch Netflix through their box and by paying through their subscription, for the first time. That will allow the Netflix shows like Stranger Things or Orange Is The New Black on the Sky Q box. They will be able to make full use of Sky Q functionality, including its menus, voice search and other tools. The I.F.O. is fuelled by eight electric engines, which is able to push the flying object to an estimated top speed of about 120mph.

The Amazon Echo kicked off the smart speaker trend a few years ago, but it's no longer alone. There are dozens of smart speakers already on the market in 2018 and a ton more are coming. You need to decide which voice assistant you prefer (there are now four--Alexa, Google Assistant, Siri, and Cortana) and what features are most important to you. Does it need to play Spotify? Does it need to connect to your other speakers and smarthome gadgets?

In January this year, a new app was released that gives users the ability to swap out faces in a video with a different face obtained from another photo or video – similar to Snapchat's "face swap" feature. It's an everyday version of the kind of high-tech computer-generated imagery (CGI) we see in the movies. You might recognise it from the cameo of a young Princess Leia in the 2016 Star Wars film Rogue One, which used the body of another actor and footage from the first Star Wars film created 39 years earlier. Now, anyone with a high-powered computer, a graphics processing unit (GPU) and time on their hands can create realistic fake videos – known as "deepfakes" – using artificial intelligence (AI). The problem is that these same tools are accessible to those who seek to create non-consensual pornography of friends, work colleagues, classmates, ex-partners and complete strangers – and post it online. Read more: The picture of who is affected by'revenge porn' is more complex than we first thought In December 2017, Motherboard broke the story of a Reddit user known as "deep fakes", who used AI to swap the faces of actors in pornographic videos with the faces of well-known celebrities.

"Westworld" Season 1 introduced fans to a number of hosts - robots that are designed to act, talk, and even think like humans. But this Season 2, Delos Corporation will be introducing even more robotic creatures. One clip shared by the HBO show featured host Bernard Lowe (Jeffrey Wright) with a one creature behind him. Showrunners Jonathan Nolan and Lisa Joy told Entertainment Weekly that these are "drone hosts," and they are the new creatures being created by Delos. "The drone hosts relate to the corporation's secret project which is hidden in plain sight in this park," Nolan explained.

As the amount of available consumer data keeps on increasing and consumer profiles get more sophisticated, marketers need the power of predictive data-driven tools to help them create more targeted audience segments, adaptive journeys and hyper-personalized offers,

In the drive to improve productivity and business performance, one approach with great untapped potential is to harness metadata, machine learning, and process automation together in enterprise solutions smart enough to optimize themselves. We already have the necessary components. What we need to do is assemble the components in solutions that can learn, iterate, and improve with each iteration. Such solutions have powerful potential to make people better at their jobs in a multitude of ways -- by automating mundane tasks, reducing errors, and even detecting fraud, to name just a few. Let's start with metadata, or information that describes data to make it easier to find, categorize, and use.

Machine Learning (ML) is a subset of Artificial Intelligence and refers to techniques which enable machines to recognize underlying patterns and learn to make predictions and recommendations by analyzing data and experiences, rather than through traditional explicit programming instructions.

The money for the Allen Institute for Artificial Intelligence will about double the lab's budget over the next three years, helping to fund existing research as well as the new effort, called Project Alexandria.

Artificial Intelligence (AI) has entered our daily lives like never before and we are yet to unravel the many other ways in which it could flourish. All tech giants such as Microsoft, Uber, Google, Facebook, Apple, Amazon, Oracle, Intel, IBM or Twitter are competing in the race to lead the market and acquire the most innovative and promising AI businesses. AI is already being used in everyday life with applications including speech recognition, smart cars, fraud detection, security surveillance, music recommendations and AI-powered personal virtual assistant such as Cortana (Microsoft), Siri (Apple) or Alexa (Amazon). Discussions on AI are generally dappled with the terms, 'Machine Learning' and'Deep Learning'. Moreover, they are often interchangeably used.