President Trump applauded Toyota and Mazda's plan to set up the joint venture in the USA and create up to 4,000 jobs. Toyota CEO Akio Toyoda and Mazda CEO Masamichi Kogai celebrate a partnership between their companies to develop electric vehicles and self-driving cars and build a $1.6 billion U.S. plant. One of biggest potential job-creating bonanzas in the country, a giant new auto plant proposed by Toyota and Mazda, began in secret with a mysterious code name. Now it has become a full-blown race among states to try to reel in the $1.6-billion project that will create 4,000 good-paying direct jobs and thousands of other indirect jobs. The two Japanese automakers recently issued a blind request for proposals to states in the Midwest, mid-Atlantic and South, according to two people familiar with the plans who were not authorized to speak publicly because the process was confidential.

The response to Musk's comments about the need for Artificial Intelligence (AI) regulation by experts in has been almost like a knee-jerk reaction. The reaction has been prevalently along the lines of not being able to identify areas that require regulation. I suspect that most AI researchers have not really made a serious effort with regards to the big picture. I am deliberately avoid discussing here the "Why?" of AI regulation. Rather I will discuss the questions of "What?" and "How?".

Ask these questions to help distinguish between a promising machine learning technology and a marketing hype. Artificial intelligence, more commonly known under AI acronym, has become a very hot topic these days. Forrester Research forecasts a 300 percent growth of AI investment this year. Toyota invests $100 million in fund for AI, UBS is trying to bring AI to its investment bank's operations, while VCs frivolously dream of replacing all of us with AI to cut costs. Some people even feel embarrassed because they have never used or implemented AI in their office or home.

IoT in connected Government helps to deliver better citizen services and provides transparency. It helps in delivering contextual and personalized service to citizens, enhances the security, and improves the quality of life. The reference architecture provides guidance for the development of government systems, solutions and application architecture. A reference architecture provides a common framework and allows the design to follow the consistent definitions for the system of interest, its decompositions and design patterns. The vision of any Connected Government in the digital era is "To develop connected and intelligent IoT based systems to contribute to government's economy, improving citizen satisfaction, safe society, environment sustainability, city management and global need."

The tongue-in-cheek post contained a picture of a gambling addiction ad stating "In the end the machines will win," -- not so obviously referring to gambling machines. On a more serious note, Musk said that the danger AI poses is more of a risk than the threat posed by North Korea. If you're not concerned about AI safety, you should be. This echoes his remarks earlier this month when he said, "AI just something that I think anything that represents a risk to the public deserves at least insight from the government because one of the mandates of the government is the public well-being." Nobody likes being regulated, but everything (cars, planes, food, drugs, etc) that's a danger to the public is regulated.

At a recent meeting with U.S. governors, Elon Musk made some hefty criticisms of artificial intelligence. When an interviewer jokingly asked whether we should be afraid of robots taking our jobs, Musk, not jokingly, replied, "AI is a fundamental risk to the existence of human civilization." Those are serious words, from a very influential thinker. Narratives about AI are buzzing. Some, like Musk, have vocalized concerns over the regulation of AI and its impact on human jobs.

Oceanic data has always been valued. However, for decades now, the only way to reach the difficult oceanic environments has been expensive. For the longest time, the only solution to gather location information and oceanic data to and from turbulent and hostile waters was to either launch a satellite into space, or to station a stationary buoy. Or if that was not enough, millions of dollars were spent to send a government research vehicle to gather this data. Autonomous sail boats are sailing through the expanse of research vessels and are offering the government, the private industry and the universities, accessible and real-time valuable data on the location of and about fish and wildlife populations, ocean temperatures and climate change.

There has never been a better time to be a politician. But it's an even better time to be a machine learning engineer working for a politician. Throughout modern history, political candidates have had only a limited number of tools to take the temperature of the electorate. More often than not, they've had to rely on instinct rather than insight when running for office. Now big data can be used to maximise the effectiveness of a campaign.

My aim with this research is to allow me to quickly find the most relevant and appreciated articles about the topic of Artificial intelligence (A.I), Machine Learning(M.L.) and Deep Learning(D.L), so that I can improve my knowledge about the subject, without having to read 100 articles to find the 4–5 of them that are interesting and exciting for me. After scrapping 6 million posts from medium.com in the winter of 2016, I was able to filter just the posts that are tagged with either AI/ML or Deep Learning. In total, i got 6,546 articles, written by 3,528 users. All of this articles have a total of 153,567 recommends. So, to do this, I extracted the TOP 100 articles posted on medium, related to AI/ML/DL and created a list with all of them, so that I can read them in the coming weeks.

For many Americans, the threat of a nuclear missile strike from North Korea feels very real at the moment. Much more real than being attacked by an intelligent robot, say. But according to Elon Musk, the rise of artificial intelligence (AI) poses a much greater threat to humanity than Kim Jong-un's belligerent regime in Pyongyang. Elon Musk, CEO of SpaceX and Tesla, speaks during the International Space Station Research and Development Conference at the Omni Shoreham Hotel in Washington, D.C., on July 19. The Tesla and SpaceX chief executive has long warned of the dangers of AI and issued his latest opinion after a bot from OpenAI defeated some of the world's best players in in a professional gaming competition.