A track record of prior competency that is above and beyond the norm is what hiring managers look for when they recruit "top talent", as recruiters like to say. Usually "top talents" can command a premium in the market place because everybody wants to employ them. We can equate these "top talents" to top quality stocks. You often hear dividend investors talk about how top dividend growth stocks are "always too expensive". That comment usually refers to the yield for the stock being lower than average, which in the case of a quality stock just represents a greater anticipation of future growth.

"The public sector, with its various schemes (Digital India, Make in India, Skill India), could identify areas where specific applications of AI and robotics can be utilised to increase reach, effectiveness and efficiency, thus giving direction to existing innovation across different fields," the study said. Indian government departments should take the lead in developing cross-border collaborations with countries leading in Artificial Intelligence (AI) research, industry chamber Assocham said on Sunday. The departments like the External Affairs Ministry (MEA) and the Department of Science and Technology (DST), should drive cooperative relationships with frontrunners like Japan, the UK, Germany, Singapore, Israel and China to develop solutions for social and economic challenges and accelerate strategy formulation in AI, machine learning (ML) and other new technologies, Assocham said citing its joint study with British advisory multinational PricewaterhouseCoopers (PwC). "Exchanging best practices and learnings from prior initiatives is one way of strengthening cooperation," the study titled "Advance artificial intelligence for growth: Leveraging AI and robotics for India's economic transformation" said.A It also suggested that policy planning in AI must be aimed at creating an ecosystem that is supportive of research, innovation and commercialisation of applications. "The public sector, with its various schemes (Digital India, Make in India, Skill India), could identify areas where specific applications of AI and robotics can be utilised to increase reach, effectiveness and efficiency, thus giving direction to existing innovation across different fields," the study said.

People can differ on their perceptions of "evil." People can also change their minds. Still, it's hard to wrap one's head around how Google, famous for its "don't be evil" company motto, dealt with a small Defense Department contract involving artificial intelligence. Facing a backlash from employees, including an open letter insisting the company "should not be in the business of war," Google in April grandly defended involvement in a project "intended to save lives and save people from having to do highly tedious work." Less than two months later, chief executive officer Sundar Pichai announced that the contract would not be renewed, writing equally grandly that Google would shun AI applications for "weapons or other technologies whose principal purpose or implementation is to cause or directly facilitate injury to people."

When 62-year-old computer scientist P Anandan started last September as CEO at the Wadhwani Institute of Artificial Intelligence (WIAI), he might have been apprehensive. He was signing up to work on AI in India after three decades at major global corporations and academia in the US and at home, including top teaching and research roles at Yale University, Adobe and Microsoft. Misconceptions abound about big data, machine learning, automation and other AI-related technologies in the context of job losses for humans. And unlike other major economies, India hadn't yet spelled out its vision for a future with AI. But when Anandan set out to work, he found support all around. In February, the Prime Minister inaugurated the institute.

Amidst a fresh cycle of reports last week, Facebook confirmed that it had data partnerships with no less than 60 device manufacturers, including four Chinese firms -- Huawei, Lenovo, Oppo and TCL. These companies maintained access to Facebook user data as well as information on a user's friends -- even though Facebook did not collect prior consent. Many have already highlighted the tremendous harm that such expansive sharing of data with third parties -- particularly with firms that have close associations with foreign governments that harbor their own agendas against the United States -- poses for American democracy. Beyond the obvious risk to individual privacy is the concern that this never-ending leakage of data could add fuel to the raging fire of political disinformation. Indeed, access to sensitive personal data offers exactly the foothold necessary for the propagators of disinformation -- both foreign and domestic -- to operate with effectiveness and precision.

The technology comprises of sensor towers carrying cameras and sensor lasers powered by an artificial intelligence algorithm.

The holy grail of deep learning is to come up with an automatic method to design optimal architectures for different applications. In other words, how can we effectively dimension and organize neurons along the network layers based on the computational resources, input size, and amount of training data? We outline promising research directions based on polyhedral theory and mixed-integer representability that may offer an analytical approach to this question, in contrast to the empirical techniques often employed.

In June, MIT Technology Review ranked the Chinese AI company as the 6th smartest company in the world, just behind Google's parent company Alphabet and also the highest ranked Chinese company on the list. In November, the Chinese government announced plans (in Chinese) to build national AI platforms in partnership with four companies. The three other companies chosen were Baidu, Alibaba and Tencent. But it hasn't always been smooth sailing for iFlytek. Founded in 1999, the company almost changed tracks to go into real estate after experiencing failed products, low revenues and difficulties in securing funding early on.

Presenting Fritz Schiltz our youngest speaker of #disummit – he will talk about using #machinelearning to improve the ranking system of schools. Fritz is an applied econometrician at the University of Leuven where he applies advanced analytics to evaluate policies, mainly in education. He has worked on reports for the European Union, the Ministry of Education and Syntra. Halfway his PhD in Economics he shifted his interests towards machine learning methods. His presentation is the result from joint work with the Bank of Italy and illustrates how machine learning or AI methods can be used to improve school rankings using an Italian dataset.

In our Expert Takes, opinion leaders from inside and outside the crypto industry express their views, share their experience and give professional advice. Expert Takes cover everything from Blockchain technology and ICO funding to taxation, regulation, and cryptocurrency adoption by different sectors of the economy. If you would like to contribute an Expert Take, please email your ideas and CV to george@cointelegraph.com. According to TI's Corruption Perceptions Index for 2017, Spain slid eight points to be one of the EU's lowest ranked countries due to a spate of high-profile corruption scandals over the last decade -- with public procurement being particularly vulnerable. Albeit, Spain has been actively combating corruption by amending its anti-corruption laws and by developing blockchain and artificial intelligence (AI) solutions.