December 07, 2019: According to the AI-based prediction from'DHL Global Trade Barometer', India is the only country with a positive trade outlook for the running quarter out of the world's seven largest economies. Thanks to the strong maritime exports and Imports that will maintain India's trade growth over the three-month period ending in January 2020. The DHL Global Trade Barometer, an indicator of global trade developments calculated using artificial intelligence and big data, predict mildly positive growth for Indian trade with the country's Index rising five points to 54. The positive outlook is driven primarily by an uptake in ocean imports of basic & industrial raw materials and chemicals & products, coupled with a gradual revival in air exports of consumer fashion goods. In total, ocean trade grew by 10 points, maintaining India's positive outlook even as air trade forecasts experience relative weakness.
IMAGE: Using age predictors within specified age groups to infer causality and identify therapeutic interventions. The deep age predictors can help advance aging research by establishing causal relationships in nonlinear systems. Deep aging clocks can be used for identification of novel therapeutic targets, evaluating the efficacy of various interventions, data quality control, data economics, prediction of health trajectories, mortality, and many other applications. Dr. Alex Zhavoronkov from Insilico Medicine, Hong Kong Science and Technology Park, in Hong Kong, China & The Buck Institute for Research on Aging in Novato, California, USA as well as The Biogerontology Research Foundation in London, UK said "The recent hype cycle in artificial intelligence (AI) resulted in substantial investment in machine learning and increase in available talent in almost every industry and country." Over many generations humans have evolved to develop from a single-cell embryo within a female organism, come out, grow with the help of other humans, reach reproductive age, reproduce, take care of the young, and gradually decline.
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).
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.
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.
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.https://t.co/mntIyTnEWu Top 25 #AI Influencers to Follow on Twitter by 2019 https://t.co/VmkEhbbhng
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.
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.
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.