The machine - made by US-based Boston Dynamics - is fitted with a camera to monitor how busy Bishan-Ang Moh Kio Park becomes.

Animosity deepened in early January when a U.S. drone strike in Baghdad killed top Iranian military commander Qassem Soleimani. Later that day, Iran's armed forces shot down a Ukrainian airliner, killing all 176 people aboard, in what the military later acknowledged was a mistake.

The fishing industry has been experimenting with artificial intelligence, to pass on the skills of experienced fishers amid a serious shortage of newcomers entering the industry. AI is being tapped to revolutionize the sector and boost profits by analyzing past fishing data, weather conditions and ocean currents, to forecast the locations of fertile fishing grounds or propose efficient methods for oyster culture farming. "AI shows this is the area for a good catch today," says Taizo Takasu, the executive director of Takasui, a fisheries company in Nobeoka, Miyazaki Prefecture, holding a tablet in his hand. Takasu, 52, is a chief fisherman of a fleet that catches sardines and mackerel with fishing nets offshore in southwestern Kyushu. Since last year, he has been taking part in an experiment that uses AI to select fishing areas.

The key to delivering consistent business value with AI is to employ operational machine learning workflows that fully integrate machine learning models into standard enterprise processes in a reliable and repeatable fashion. That's where MLOps comes in. "There are fundamentally two things enterprises can do with machine learning: One is to make processes more efficient, and the other is to launch new products and features," says Piero Cinquegrana, data scientist and co-author of O'Reilly's "Machine Learning at Enterprise Scale." These processes could be sales process, marketing measurement, operations, and tasks that are repeatable and automatable--all kinds of what Cinquegrana calls domains. "Some classic use cases are measurement, such as scoring leads for sales so that sales account executives don't have to cold call a long list of unqualified leads," he says.

Ever since the movement surrounding value-based healthcare started, radiologists have understood the potential of showing their contribution in patient care, from disease prediction to follow-up. These are figures from the 4G age. GSMA has published a new report on the'Future of Devices in the age of 5G networks' in January 2020, and it identifies China as the place in which this next mobile revolution will adopt quickest. Nearly 50% of Chinese consumers say they will get a 5G phone as soon as the service is available, compared to 30% in the US and between 15-20% in Europe. Taking a look at this closer, the GSMA survey shows that, for mobile phone customers, 5G is all about speed and coverage.

This is a group for anyone interested in Artificial Intelligence (AI). All skill levels are welcome. The main focus of this group is to help people understand AI scenarios through real, hands-on technical solutions and explore how to develop AI solutions in today's world. We will look at a variety of technology from different providers. Guest speakers will include people working in the industry to demonstrate new technology.

In William Gibson's novel Zero History, a key character dons the ugliest T-shirt in the world – a ridiculous-looking garment that magically renders the wearer invisible to CCTV. Now, as states across the world deploy artificially intelligent surveillance systems to track, trace and monitor citizens, we may find ourselves wearing ugly T-shirts of our own. Researchers at Northeastern University, MIT and IBM have designed a top printed with a kaleidoscopic patch of colour that renders the wearer undetectable to AI. It's part of a growing number of "adversarial examples" – physical objects designed to counteract the creep of digital surveillance. "The adversarial T-shirt works on the neural networks used for object detection," explains Xue Lin, an assistant professor of electrical and computer engineering at Northeastern, and co-author of a recent paper on the subject.

The remains of a rare 19th Century dock built for Charles Darwin's ship HMS Beagle has been recognised as a site of national importance. The submerged mud berth on the River Roach in Rochford, Essex, will now be protected against unauthorised change. The ship, launched in 1820, allowed Darwin to make observations that led to his theory of natural selection. "We are glad to see this site in a quiet corner of Essex given national protection," said Historic England. "This is a fascinating example of a rare piece of maritime history."

Last week, Embodied Inc. launched Moxie, a social robot designed to help children with cognitive development. Moxie uses machine learning and the SocialX platform to perceive and interact. Maja Matarić, interim vice president and vice dean for research at the University of Southern California's Viterbi School of Engineering, co-founded Embodied in 2016. The Pasadena, Calif.-based company said it "has assembled a world-class team of experts in child development, engineering, technology, game design, and entertainment to create Moxie." Embodied has worked with advisors from Disney, MIT, Pixar, and The Jim Henson Co., among others.

The police are failing to consult the public about their growing use of technologies including artificially-intelligence facial recognition and automated decision systems (ADS), a charity has warned. South Wales Police is the only police force in the UK known to be using AI in its policing to have confirmed it consulted with its local communities about its use, according to a report from The Royal Society for the encouragement of Arts, Manufactures and Commerce (RSA). A Freedom of Information request returned in March found that London's Metropolitan Police Force, which began using live facial recognition tech in February following years of trials, had no record of consulting the public, despite suggesting that this would take place alongside deployment. The Met's software is deployed through signposted cameras focused on small areas to scan the faces of passers-by in areas the force believes are more likely to contain those wanted for serious and violent offences. The RSA sent requests to 45 territorial police forces, receiving confirmation that eight were using or trialling AI or ADS for policing decisions, including Durham Constabulary, Surrey Police and West Yorkshire Police.