Artificial Intelligence Course for Professionals


The AI training course comprises of various modules specially curated by the trainers to give the whole picture along with strong foundation base to the students. The current and future demand for AI professionals is stunning. The New York Times reports a guaranteed competitor deficiency for AI Engineers, with less than 10,000 qualified individuals on the planet to fill these employments. The compensation scale is crazy. As indicated by New York Times, AI specialists, including the PhDs or engineers with few years of experience, can be paid from $300,000 to $500,000 per year or more in compensation and stock (or Rs.17 lakhs to Rs. 25 lakhs in India and much more).

Top Startup Companies in Machine Learning System Tycoonstory Media


Artificial Intelligence is an important thing these days. Many people are using this system for supporting their daily tasks. This system can accelerate any progress in your job. You will be able to find some companies that are focusing their businesses in this industry. There are some popular startup companies in the machine learning system.

Global Artificial Intelligence In Military Market 2019 – Lockheed Martin (US) , Raytheon (US) , Northrop Grumman (US) – Industry News Info


In the end, worldwide Artificial Intelligence In Military Industry 2019 report provides the main region, market conditions with the product price, profit, capacity, production, supply, demand, and market growth rate and forecast etc. This report also Present new project SWOT analysis, investment feasibility analysis, and investment return analysis.

Trending on Twitter: Top Artificial Intelligence Tweets Dec 2nd - 8th 2019


Every week, we publish a selection of AI-related content that is trending on Twitter. To be in the loop, you can find us on Twitter @AITimeJournal and subscribe to our newsletter! This week's tweets are featured in no particular order, and they are by: These industrial #robots work in an @Audi factory. As #AI is empowering other digital technologies, the immediate future will experience significant transformation in the adoption of #emergingtech like #Cloud, #CyberSecurity, #IoT, #Edge, #5G & #Blockchain in India to propel growth in digital economy. Top 25 #AI Influencers to Follow on Twitter by 2019

Deep Tech with Avrohom Gottheil


We are living in an era of information overload, where there is an overabundance of information, yet at the same time, it's hard to ascertain what's credible and what's not. Technology changes rapidly, and innovation is on the rise. How can we educate ourselves to know: (1) What products are available on the market? INTERVIEW HIGHLIGHTS: This episode of #AskTheCEO features a presentation Avrohom Gottheil gave in New Delhi, India for India's First Annual Deep Tech Summit, titled Deep Tech for All. "Time is the new currency, and that is what's driving the mass adoption of voice-based technology in the marketplace", said Avrohom [13:30] J. Dianne Dotson, Science Fiction Writer and Research Scientist, shares how in the future we will be able to leverage AI to search global DNA databases, such as 23 and me, and analyze people's genomes for disease-causing proteins so that we can disable them and stop diseases from spreading, right from the source.

Hardness of parameter estimation in graphical models

Neural Information Processing Systems

We consider the problem of learning the canonical parameters specifying an undirected graphical model (Markov random field) from the mean parameters. For graphical models representing a minimal exponential family, the canonical parameters are uniquely determined by the mean parameters, so the problem is feasible in principle. The goal of this paper is to investigate the computational feasibility of this statistical task. Our main result shows that parameter estimation is in general intractable: no algorithm can learn the canonical parameters of a generic pair-wise binary graphical model from the mean parameters in time bounded by a polynomial in the number of variables (unless RP NP). Indeed, such a result has been believed to be true (see the monograph by Wainwright and Jordan) but no proof was known.

How Face Recognition Tech Is Driving the Short Video Trend


Short video has become the main form of online entertainment for a growing number of netizens. As a platform enabling anyone anywhere to express themselves and share their lives with huge online communities, Short video has generated a thriving culture. Artificial intelligence has penetrated into various areas of the short video ecosystem, but most visibly through technologies related to computer vision, face recognition, feature acquisition, image semantic segmentation and so on, which have helped creators build and present more diverse online personas. Short video is well positioned to grab a piece of China's growing online video industry market, which jumped from CN¥24.9 billion (US$3.5 billion) in 2014 to CN¥95.2 billion (US$13.5 billion) in 2017 and is expected to reach CN¥191.6 billion (US$27.1 billion) in 2020. TikTok is a Chinese video app for social media that launched globally in 2017.

Prestigious Pyongyang university teaching specialist Japanese language, literature courses

The Japan Times

Kim Il Sung University in the spring of 2017 set up specialist Japanese language and literature courses, it was learned Saturday from the university. The training course for Japanese researchers was established at the prestigious institution in the capital, Pyongyang, at a time when North Korea was repeatedly testing nuclear weapons and launching ballistic missiles, which continued until the fall of 2017 and led to heightened tensions with the United States. There is a possibility that it was judged necessary to strengthen the development of such experts in view of future diplomacy with Japan. Japan and North Korea have no diplomatic relations. The Department of Japanese Language and Literature was established in the university's Faculty of Foreign Languages and Literature.

How Confucianism Could Put Fears About Artificial Intelligence to Bed OZY


When Arnold Schwarzenegger said "I'll be back" in The Terminator, he probably didn't realize the film would keep coming back in discussions about robots and artificial intelligence. Yet 35 years after Schwarzenegger portrayed a cyborg assassin from an AI-dominated future, much of Western discourse on robots is repeating a Terminator-like scenario: panic that robots will take our jobs, and that AI will take over the world, Skynet-style. Western culture has had a long history of individualism, warlike use of technology, Christian apocalyptic thinking and a strong binary between body and soul. These elements might explain the West's obsession with the technological apocalypse and its opposite: techno-utopianism. In Asia, it's now common to explain China's dramatic rise as a leader in AI and robotics as a consequence of state support from the world's largest economy.