The Commission is proposing a three-pronged approach to increase public and private investment in AI, prepare for socio-economic changes, and ensure an appropriate ethical and legal framework. This follows European leaders' call for a European approach on AI. Vice-President for the Digital Single Market Andrus Ansip said: "Just as the steam engine and electricity did in the past, AI is transforming our world. It presents new challenges that Europe should meet together in order for AI to succeed and work for everyone. We need to invest at least €20 billion by the end of 2020. The Commission is playing its part: today, we are giving a boost to researchers so that they can develop the next generation of AI technologies and applications, and to companies, so that they can embrace and incorporate them."

The United Kingdom is planning a big investment in artificial intelligence technologies in a deal worth nearly £1 billion, or about $1.3 billion. The U.K. government said Thursday that part of its multi-year AI investment–about £300 million, or more than $400 million–would come from U.K.-based corporations and investment firms and those located outside the country. Some of the U.S.-based companies involved with the U.K.'s AI deal include Microsoft, Hewlett Packard Enterprise, IBM, McKinsey, and Pfizer, but the U.K. did not say how much each firm was planning to individually invest. A few of these U.S. companies helped consult on an earlier independent review on developing AI in the U.K. that the government is using as a template for its new initiative. Antony Phillipson, the United Kingdom's trade commissioner for North America, said that the investments are part of a broader set of initiatives the U.K. government is undertaking to address several areas U.K. lawmakers believe will soon affect the country's economy and society.

Most people are not very familiar with the concept of artificial intelligence (AI). As an illustration, when 1,500 senior business leaders in the United States in 2017 were asked about AI, only 17 percent said they were familiar with it.1 A number of them were not sure what it was or how it would affect their particular companies. They understood there was considerable potential for altering business processes, but were not clear how AI could be deployed within their own organizations. Despite its widespread lack of familiarity, AI is a technology that is transforming every walk of life. It is a wide-ranging tool that enables people to rethink how we integrate information, analyze data, and use the resulting insights to improve decisionmaking. Our hope through this comprehensive overview is to explain AI to an audience of policymakers, opinion leaders, and interested observers, and demonstrate how AI already is altering the world and raising important questions for society, the economy, and governance. In this paper, we discuss novel applications in finance, national security, health care, criminal justice, transportation, and smart cities, and address issues such as data access problems, algorithmic bias, AI ethics and transparency, and legal liability for AI decisions. We contrast the regulatory approaches of the U.S. and European Union, and close by making a number of recommendations for getting the most out of AI while still protecting important human values.2 Although there is no uniformly agreed upon definition, AI generally is thought to refer to "machines that respond to stimulation consistent with traditional responses from humans, given the human capacity for contemplation, judgment and intention."3 According to researchers Shubhendu and Vijay, these software systems "make decisions which normally require [a] human level of expertise" and help people anticipate problems or deal with issues as they come up.4 As such, they operate in an intentional, intelligent, and adaptive manner. Artificial intelligence algorithms are designed to make decisions, often using real-time data. They are unlike passive machines that are capable only of mechanical or predetermined responses. Using sensors, digital data, or remote inputs, they combine information from a variety of different sources, analyze the material instantly, and act on the insights derived from those data. With massive improvements in storage systems, processing speeds, and analytic techniques, they are capable of tremendous sophistication in analysis and decisionmaking.

Brussels has called for a €20bn (£14bn) cash injection for artificial intelligence research, while pouring cold water over controversial plans to give robots human rights. The European commission wants governments and private companies to boost research and innovation spending on AI, amid rising concern that Europe is losing ground to the US and China, where most leading AI firms are based. Health, transport and agriculture are among the areas the commission would like researchers to prioritise. But the commission distanced itself from proposals to give the most advanced robots the legal status of personhood. "I don't think it will happen," Andrus Ansip, a commission vice-president in charge of digital single-market policy told journalists.

Killer robots, tanks, planes, and ships could theoretically fight wars for states, without any human intervention. They will be "weapons of terror, used by terrorists and rogue states against civilian populations" and will follow any orders however evil," according to Toby Walsh, a professor from the University of New South Wales, Australia. He added: "These will be weapons of mass destruction. One programmer and a 3D printer can do what previously took an army of people. "They will industrialise war, changing the speed and duration of how we can fight. They will be able to kill 24-7 and they will kill faster than humans can act to defend themselves."

A European approach on AI will boost the European Union's competitiveness and ensure trust based on European values. The European Commission has already invested significant amounts to bring benefits to our society and economy. This factsheet provides an overview of AI in Europe. In its Communication "Artificial intelligence for Europe", the Commission puts forward a European approach to Artificial Intelligence based on three pillars:

Indian President Ram Nath Kovind, speaking at the 17th convocation of the Shri Lal Bahadur Shastri Rashtriya Sanskrit Vidyapeetha, said the ancient language of Sanskrit was the most suitable language for writing algorithms and developing artificial intelligence. Why it matters: President Kovind was addressing a crowd of academics and specifically talking about Sanskrit's usefulness. He spoke about the rich history of Sanskrit as an ancient language used for early Indian mathematics and science. Many scholars believe that the grammar of Sanskrit, which is rule-bound, formula-bound and logical, is the most appropriate to write algorithms, or to be used in machine learning and even artificial intelligence. Reading between the lines: Keeping the venue in mind, the President's words were meant to inspire and celebrate, not spark controversy over which language is'best' for machine learning.

With the last few years of progress in artificial intelligence, it is hard to look forward without excitement…and apprehension. If you are paying attention at all, you are wondering what lies ahead. Will it be disastrous for many? Surely because we are inventing it, we have a good sense of what is being spawned? But no, this technology feels different.

U.S. tech giants, European telecoms firms, Japanese venture capital and the U.K. government has put together a 1 billion-pound ($1.4 billion) investment into the U.K. artificial intelligence industry, as governments weigh how to compete with China. The deal comprises a total of 300 million pounds of private financing, 300 million pounds of new government spending in addition to 400 million pounds the state has already announced. "Artificial intelligence provides limitless opportunities to develop new, efficient and accessible products and services," Business Secretary Greg Clark said in an emailed statement Thursday. In prioritizing AI, Britain joins several other nations that see the emerging technology as central to their future place in the world, such as China, which last year set a goal of becoming the world leader in AI by 2030. Antony Phillipson, the U.K. Trade Commissioner for North America and Consul General in New York, said in an interview ahead of the announcement that the U.K. could not compete with China in terms of total funding or scale of some government-run AI projects.

Ransomware and distributed denial of service (DDoS) attacks have been on the rise, with 232 attacks through January 2018 compared with 106 through January 2017, said the professional services firm's 2018 State of Cyber Resilience study, which investigated focused attacks defined as having the potential to both penetrate network defences and cause damage, or extract high-value assets and processes from within organisations. Some 4,600 enterprise security practitioners representing companies with annual revenues of $1 billion or more in 15 countries were surveyed across the Americas, Europe and Asia-Pacific. Despite the increased pressure of the attacks, organisations are upping their game and preventing 87% of these focused attacks, compared to 70% a year ago. However, with 13% of focused attacks still penetrating defences, organisations are still facing an average of 30 successful security breaches per year. In addition, only two out of five organisations are currently investing in technologies like machine learning, AI and automation, indicating there is even more progress to be made by increasing investment in cyber resilient innovations and solutions.