Researchers studying a deal in which Google's artificial intelligence subsidiary, DeepMind, acquired access to millions of sensitive NHS patient records have warned that more must be done to regulate data transfers from public bodies to private firms. The academic study says that "inexcusable" mistakes were made when, in 2015, the Royal Free NHS Foundation Trust in London signed an agreement with Google DeepMind. This allowed the British AI firm to analyse sensitive information about 1.6 million patients who use the Trust's hospitals each year. The access was used for monitoring software for mobile devices, called Streams, which promises to improve clinicians' ability to support patients with Acute Kidney Injury (AKI). But according to the study's authors, the purposes stated in the agreement were far less specific, and made more open-ended references to using data to improve services.

When most people think about artificial intelligence, their minds turn to glorified fights to save the human race from rogue robots, a familiar story played out on Hollywood screens in decades gone by. While machine intelligence is still far from resembling human consciousness, an AI fight is playing out in real life, not between robots and humans, but rather among the businesses vying to lead an increasingly lucrative market. The origins of AI stretch back to 1950, when computer science pioneer Alan Turing published a paper speculating that machines could one day think like humans. Last year, research firm IDC valued the market at $8 billion, forecasting a rise to $47 billion in 2020. Between Turing's landmark paper 67 years ago and today's wild market valuations, most major AI developments have either fallen in the realms of research and academia or involved computers beating people at human games.

Automation is among the top priorities for Nordic IT decision makers in 2017, according to the latest TechTarget survey, with 37% of Nordic-based survey respondents planning to implement an IT automation initiative during the year. This email address is already registered. By submitting my Email address I confirm that I have read and accepted the Terms of Use and Declaration of Consent. By submitting your personal information, you agree that TechTarget and its partners may contact you regarding relevant content, products and special offers. You also agree that your personal information may be transferred and processed in the United States, and that you have read and agree to the Terms of Use and the Privacy Policy. Robotic process automation (RPA) is a particularly hot topic, but what does it mean for Nordic companies?

Police Scotland this week held a conference with the UK's major broadcasters to discuss ways to approach the issue of so-called "fully loaded" media players. Police Scotland has claimed that "criminal gangs" have now started selling the players, because they see it as a less risky area of crime. The I.F.O. is fuelled by eight electric engines, which is able to push the flying object to an estimated top speed of about 120mph. The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car is the start of a new era for Jaguar. Japan's On-Art Corp's CEO Kazuya Kanemaru poses with his company's eight metre tall dinosaur-shaped mechanical suit robot'TRX03' and other robots during a demonstration in Tokyo, Japan Japan's On-Art Corp's eight metre tall dinosaur-shaped mechanical suit robot'TRX03' performs during its unveiling in Tokyo, Japan Singulato Motors co-founder and CEO Shen Haiyin poses in his company's concept car Tigercar P0 at a workshop in Beijing, China A picture shows Singulato Motors' concept car Tigercar P0 at a workshop in Beijing, China Connected company president Shigeki Tomoyama addresses a press briefing as he elaborates on Toyota's "connected strategy" in Tokyo.

Machine learning (ML) is routinely cited by post-truth vendors as their biggest selling point, their main advantage. But ML – if it's done properly – comes with problems and limitations. ESET has spent years perfecting automated detections, our name for ML in the cybersecurity context. Here are some of the biggest challenges we have observed and overcome in the course of implementing this technology in our business and home solutions. First, to use machine learning you need a lot of inputs, every one of which must be correctly labeled.

Around 30 per cent of UK jobs could be automated by 2030. At the same time, artificial intelligence or AI technologies are forecast to give the UK economy an additional £640-billion boost by 2035. The Artificial Intelligence for Business special report, published in The Times, covers how AI will affect business as well as our personal lives. The report probes how we can ensure machines don't take over, and looks at building machines more like us, as well as the AI fight breaking out among the world's tech giants.

New Finnish technology is tapping into machine learning and artificial intelligence to support healthcare professionals in early diagnosis of neurological disorders. When a person is suspected of having a memory disorder, they undergo extensive tests ranging from brain scans to neurological examinations. It is then up to their physician to analyse the results. However, even an experienced doctor may struggle to arrive at an accurate diagnosis during the early stages of a disease. Finnish healthtech company Combinostics has a solution for this in mind: its cloud-based tools for the comprehensive analysis of patient data.

With just a tap of the turn signal, Daimler's self-driving S-Class changes lanes in dense highway traffic. The specially trained driver keeps his hands on the wheel, just in case. But he doesn't need to use his feet at all. The car keeps a safe distance from other vehicles, and accelerates and brakes automatically. What's more, the driver needn't worry about traffic tickets either, since the car can be programmed to obey speed limits at all times.

Eighty-four percent of large companies around the world say they are using artificial intelligence, and 62% say AI is important to remaining competitive in the year 2020. Tata Consultancy Services polled 835 executives and IT managers in North America, Europe, Asia Pacific and South America at companies that averaged $20 billion in revenues. It found AI to be almost universally important, but the average investment in it was one-third of one percent of revenues, or $67 million. Only 7% said they spent $250 million or more in 2016. The average was $67 million; the median for the whole group, only $3 million.