Spot, Boston Dynamics' famous robot dog, dutifully follows my every command. The machine traipses forward, then automatically scrambles over a raised bed of rocks. I command it up a flight of stairs, which it tackles with ease. It meets its match when I steer it at a medicine ball, though; it takes a tumble, and for a moment lies paralyzed on its back. Such unfailing obedience, yet I'm nowhere near Spot, which is roaming about the company's testing grounds in Boston. With almost zero latency, I either use the robot's front camera feed to click on bits of terrain--think of it like scooting around in Google's Street View--or flicking my keyboard's WASD keys in the most expensive videogame imaginable.

The following article is a written adaptation of an episode of Thrilling Tales of Modern Capitalism, Slate's new podcast about companies in the news and how they got there. The story of Epic Games begins with a programming prodigy named Tim Sweeney. When he was still in elementary school, Sweeney received an Apple II computer as a gift from his older brother. He almost immediately started programming very simple games on that computer, and then he began to test those games out by letting other kids play them while he watched. "He was quite savvy for a teenager," says Simon Parkin, a writer who covers the video game industry, "because he knew that if he wanted his games to be successful, he needed to make sure that players of different abilities could get into them and understand what they were doing. So he would invite all the kids from the local neighborhood over to come and play his games that he was designing, and he would watch them while they were playing and make adjustments or take notes based on if they got confused or if they got stuck in a certain bit, and then he'd go away and adjust the game accordingly."

President Trump states after Davos " Elon Musk is the Thomas Edison of our time, he needs be protected". Elon is needed by the military and U.S against China's advancements to the free world. Cyrus A. Parsa, wishes the best for him, the U.S and the worlds people. Yet, he must cut off all ties with China for the worlds safety, and make sure his advancements in AI technology do not endanger to the worlds people or the worlds governments beyond Artificial Narrow Intelligence.

Technology is powerful, it can make you believe in something that doesn't even exist! If you thought technology is all about the positives, then welcome to the dark realities it has to offer. Technology can be dangerous, digital representations, manipulated videos pave way to fabricated settings that insanely appear real, supported by sophisticated artificial intelligence, to serve a frightening negative purpose. Deepfake, a technology pioneered in 2014 by Ian Goodfellow is based on generative adversarial networks (GANs) a class of machine learning frameworks designed by Ian Goodfellow and his colleagues. If we break Deepfake, into deep and fake, it simply means a model that uses deep learning technology (a branch of machine learning) applying neural net simulation to massive data sets to create fake audio, video, image against the real ones used as model input.

Researchers have used artificial intelligence to reduce the'communication gap' for nonverbal people with motor disabilities who rely on computers to converse with others. The team, from the University of Cambridge and the University of Dundee, developed a new context-aware method that reduces this communication gap by eliminating between 50% and 96% of the keystrokes the person has to type to communicate. The system is specifically tailed for nonverbal people and uses a range of context'clues' - such as the user's location, the time of day or the identity of the user's speaking partner - to assist in suggesting sentences that are the most relevant for the user. Nonverbal people with motor disabilities often use a computer with speech output to communicate with others. However, even without a physical disability that affects the typing process, these communication aids are too slow and error prone for meaningful conversation: typical typing rates are between five and 20 words per minute, while a typical speaking rate is in the range of 100 to 140 words per minute.

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India has joined international and multi-stakeholder initiative Global Partnership for Artificial Intelligence (GPAI) on Artificial Intelligence (AI) as its founder member. In this alliance, India will join Australia, Canada, France, Germany, Italy, Japan, Mexico, New Zealand, the Republic of Korea, Singapore, Slovenia, the United Kingdom, the US, and the European Union. The Global Partnership on Artificial Intelligence (GPAI) is an international and multistakeholder initiative to guide the responsible development and use of AI, grounded in human rights, inclusion, diversity, innovation, and economic growth. On late Monday, India's IT minister Ravi Shankar Prasad tweeted to announce the news, saying,"Delighted to announce that India has joined the Global Partnership on Artificial Intelligence or GPAI today as a founding member. This multi-stakeholder international partnership will promote responsible and human centric development and use of AI." Delighted to announce that India has joined the Global Partnership on Artificial Intelligence or #GPAI today as a founding member.

AI jobs growth is slowing as a result of the pandemic. That's according to a newly published report compiled by LinkedIn's Economic Graph Research Insights team, which looked at the health crisis' implications for the most impacted sectors. LinkedIn's analysis, which covered a post-COVID-19 period from March 16 to May 24 and a pre-COVID-19 period from January 6 to March 15, found that the virus dampened the demand for AI talent from employers as well as enthusiasm from job applicants. During the 10 weeks immediately following mid-March, growth rates in both slowed down. Listings for AI roles dropped to only 4.6% year-over-year compared with 14% prior to the outbreak, while applications -- which were growing at 50.8% year-over-year -- dipped to 30.2% post-COVID-19.

In May, the same week Facebook announced Shops, a way for businesses to set up online stores for customers across Facebook, WhatsApp, Messenger, and Instagram, the tech giant detailed the AI and machine learning systems behind its ecommerce experiences. Facebook said its goal is to one day develop an assistant that can serve up product recommendations on the fly, and that can learn preferences by analyzing images of what's in a person's wardrobe while allowing the person to try new items on self-replicas and sell apparel that others can preview. A flurry of Facebook-authored papers accepted to the Conference on Computer Vision and Pattern Recognition (CVPR) 2020 suggest the company is on its way to developing the components of this assistant. One paper describes an algorithm that uncovers and quantifies fashion influences from images taken around the world. Another demonstrates an AI model that generates 3D models of people from single images.

The US is bending its hardline stance on Huawei... if only very slightly. The Commerce Department has instituted a rule allowing American companies to participate in developing standards where Huawei is involved, such as 5G wireless, AI and self-driving cars. Not surprisingly, the move has its roots in pride and pragmatism. The US doesn't want to "cede leadership in global innovation" by sitting out important decisions on future technology, according to Commerce Secretary Wilbur Ross. Reuters noted that the change had been drafted in May, but was waiting for approval.