Engineers at the California Institute of Technology, along with colleagues from Disney Research and STATS (a major supplier of sports data), have developed a machine learning algorithm that watches soccer matches and learns the game in much the same way that fans of the sport do. The machine learning algorithm analyzes tracking data to learn how players coordinate with one another to position themselves on the field. But it does not simply follow the movements of players, it is able to determine the meaning of the movements--something not included in the data the machine sees. The researchers used graphical models to help the machines understand the roles of the players on the field--for example, players in different roles tend to occupy different spaces on the playing field. This allows the algorithm to learn and understand what the players are doing.

Elon Musk has said again that artificial intelligence could be humanity's greatest existential threat, this time by starting a third world war. The prospect clearly weighs heavily on Musk's mind, since the SpaceX, Tesla and Boring Company chief tweeted at 2.33am Los Angeles time about how AI could led to the end of the world – without the need for the singularity. His fears were prompted by a statement from Vladimir Putin that "artificial intelligence is the future, not only for Russia, but for all humankind … It comes with colossal opportunities, but also threats that are difficult to predict. Whoever becomes the leader in this sphere will become the ruler of the world." Hashing out his thoughts in public, Musk clarified that he was not just concerned about the prospect of a world leader starting the war, but also of an overcautious AI deciding "that a [pre-emptive] strike is [the] most probable path to victory".

The Tesla founder spoke about his fears after Vladimir Putin claimed that the nation which controls artificial intelligence will come to rule the world. On Twitter, Musk wrote: "China, Russia -- soon all countries with strong computer science. The development of killer computers would give any nation a clear edge over its competitors. Artificial intelligence could be used to command fleets of drones or battalions of killer robots, while responding to threats at speeds much faster than any human could manage, The Sun reports. The race to develop artificial intelligence could spark World War Three, according to Elon Musk. But there's a risk that a super-smart AI could go rogue and launch genocidal attacks without being constrained by human conscience and empathy. Musk said that it may actually be the AI itself that launches the next World War. He added: "[WW3] May be initiated not by the country leaders, but one of the AI's, if it decides that a pre-emptive strike is most probable path to victory." Nick Bostrom, head of the University of Oxford's Future Of Humanity Institute, recently claimed that we may have just 50 years to save ourselves from artificial intelligence. Competition to build a machine that's as clever as humans will be fierce in the coming decades, with considerable rewards on offer for the nation which manages to pull off the historical feat of achieving "machine intelligence". But the scrabble to create this silicon-powered mind could lead to mistakes with disastrous consequences, according to The Sun. "There is a control problem," Bostrom said. Killer robots, or lethal autonomous weapons, should be banned because of the potential scale of destruction and ability to be hacked, industry leaders say. "If you have a very tight tech race to get there first, whoever invests in safety could lose the race.

Probabilistic mixture models have been widely used for different machine learning and pattern recognition tasks such as clustering, dimensionality reduction, and classification. In this paper, we focus on trying to solve the most common challenges related to supervised learning algorithms by using mixture probability distribution functions. With this modeling strategy, we identify sub-labels and generate synthetic data in order to reach better classification accuracy. It means we focus on increasing the training data synthetically to increase the classification accuracy.

YOKOHAMA – Japanese mobile game giant DeNA Co. said Monday it will start a trial of its taxi dispatch application utilizing artificial intelligence in Yokohama. The AI system will analyze data collected from taxis in use and information on when and where customers hailed taxis in the past. The AI will then forecast demand to enable taxi drivers to find customers more easily. The trial will be held until the end of October. DeNA hopes to introduce the app for practical use as early as January.

Congress vice president Rahul Gandhi is headed to the United States where he is likely to meet the pioneers of research on Artificial Intelligence (AI), the science of making machines that think like humans. Gandhi, who recently returned from Norway, is gearing up for another offshore visit, this time to the Silicon Valley in the US to "expand his thoughts about artificial intelligence", party sources said. The sources said Gandhi wants India to lead in the niche area which comes after software development, in which India has already won global recognition.While AI is still a nascent subject to most in India, many countries including China have begun investments in the area to strengthen research in it. A senior Congress leader said the idea was to bring back knowledge and implement it at the policy level in the Congress party's vision documents.Facilitating Gandhi's US visit is the chairman of Overseas Congress, Sam Pitroda, a technology innovator who was brought back to India by Rajiv Gandhi and was among thosebehind the telecom revolution in the country. The Congress VP had met leaders in the field of biotechnology during his Norway visit.

Elon Musk has warned that competition for superiority in the world of artificial intelligence could trigger World War III. His tweet followed a statement from Russian President Vladimir Putin that "artificial intelligence is the future, not only for Russia, but for all humankind … It comes with colossal opportunities, but also threats that are difficult to predict. Whoever becomes the leader in this sphere will become the ruler of the world." Musk said he was less concerned about the threat of a nuclear missile strike from North Korea, and said any such action would be "suicide". Musk has long since been a vocal opponent of lethal autonomous weapons.

Forget the arms race or space race -- the new battle for technological dominance revolves around AI, according to Vladimir Putin. The Russian President told students at a career guidance forum that the "future belongs to artificial intelligence," and whoever is first to dominate this category will be the "ruler of the world." In other words, Russia fully intends to be a frontrunner in the AI space. Putin maintains that he doesn't want to see anyone "monopolize" the field, and that Russia would share its knowledge with the "entire world" in the same way it shares its nuclear tech. We'd take this claim with a grain of salt (we wouldn't be surprised if Russia held security-related AI secrets close to the vest), but this does suggest that the country might share some of what it learns.

About the author: Maria Johnsen holds a degree in political economy, Beauty Arts from Sorbonne University in Paris, BA in Information technology BA in informatics and a Master of Science degree in Computer Engineering from the Norwegian University of Science and Technology. Her professional background and education is diverse and includes skills in areas such as sales, multilingual digital marketing, content writing, business intelligence, software design and development. In addition, she possesses the experience and education in the management of complex Information Systems. Maria knows eighteen languages and possesses experience in language instruction, tutoring, and translation. She has also developed a unique teaching method for fast learning "Implications for Upgrading Accelerated Learning Practices In Educational Systems" This method is applied in China and Norway.

Criminals looking for a quiet pint suddenly found themselves collared when cops used facial recognition technology to catch thirsty crooks at a Chinese beer festival. Twenty-five wanted individuals were arrested when they tipped up to sample the offerings at the annual bash in Qingdao--home to China's most famous brew. Those snared included one man who had been on the run for ten years, only to be undone by his hankering for a lager. Eighteen cameras installed at four entrances to the festival identified each of the suspects in under one second, Qingdao police said this week. According to Qingdao authorities, the system has a 98.1 accuracy rate and sounds an alarm if a subject's face is found in the police database.