Rapper "Pras" Michel, one-third of the legendary hip-hop group The Fugees, accused his lawyer from a recent federal criminal case of using AI in his closing arguments. Ars Technica reports that the "Ghetto Supastar" artist claims his one-time attorney, David Kenner, used an AI program with which the lawyer potentially had a financial interest. Pras, whose legal name is Prakazrel Samuel Michel, was found guilty in April of 10 counts of conspiring and acting as an unregistered foreign government agent and faces up to 20 years in prison. The rapper is seeking a new trial. Pras' motion for a new trial says Kenner "used an experimental artificial intelligence (AI) program to draft the closing argument, ignoring the best arguments and conflating the charged schemes, and he then publicly boasted that the AI program'turned hours or days of legal work into seconds.'"

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. Pras Michel of the Fugees is seeking a new trial by arguing his former lawyer used artificial intelligence to generate his closing argument before the hip-hop artist was found guilty of helping a foreign national launder millions of dollars in illegitimate contributions to former President Barack Obama's campaign. Michel was convicted in April after being accused of taking part in an extensive conspiracy to use about $88 million in foreign funds to engage in illegal back-channel lobbying and make unlawful campaign contributions at the direction of the People's Republic of China. He filed a motion on Monday asking the court for a new trial on all counts.

Mini robots are to patrol water pipe networks in an attempt to stop three billion litres being lost to leaks every day. Scientists are developing'pipebots' – small, mobile robots with cameras for eyes and all-terrain legs – to find cracks and weaknesses in pipes before they develop into leaks. The devices are being tested at the University of Sheffield's integrated civil and infrastructure research centre, with the aim of deploying them within five years. Some firms already use tethered robots to investigate pipes. But most of the network is inaccessible without digging – a problem the tiny machines are designed to circumvent.

January 31, 2020 – Zenzium, Ltd., announced today its participation in a groundbreaking trial in Greater Manchester which is to test cutting edge wearable technology in combination with Artificial Intelligence (AI) for patients who have received cancer treatment. Called, EMBRaCE, (Enhanced Monitoring for Better Recovery and Cancer Experience), the trial is a collaboration between Manchester University NHS Foundation Trust, The Christie NHS Foundation Trust, The University of Manchester, Aptus Clinical and Zenzium, Ltd. The trial has opened initially for blood cancer, lung, and colorectal cancer patients and will run across Greater Manchester. Using commercially available health sensors and devices in combination with AI could reveal digital fingerprints associated with vital signs and other clinical data that could allow doctors to assess the progress of their patients and potentially improve patient outcomes. The technologies under investigation include: • a smart ring, worn on any finger made by Oura Health • the Withings ScanWatch, a hybrid smartwatch • the Isansys system, which is worn on the chest • AI capabilities developed and provided by Zenzium The technologies can assess a range of vital signs, including electrocardiogram (ECG), heart rate, temperature, physical activity levels and sleep.

Artificial intelligence technology developed by a Queensland researcher to identify hoax calls is set to be tested at some emergency centres, potentially freeing up operators to deal with real emergencies. University of Southern Queensland computer scientist Dr Rajib Rana has spent the past three years developing the artificial intelligence algorithms required to detect whether someone is genuinely in trouble or whether they are playing a time-wasting prank. Dr Rajib Rana has received an Advance Queensland COVID-19 Industry Research Fellowship to develop his distress inference system. Dr Rana said the "distress inference system" was designed to detect the level of distress in a person's voice, and assess whether it is in line with the sort of incident they are describing. "When people are in real distress there are physiological changes which happen in speech production, like your mouth dries out, your breathing rate increases, that sort of thing," he said.

Hermes has announced a new trial for self-driving delivery robots in the UK. The autonomous machines, which have a top speed of 4mph, are 55cm tall and 70cm long, and weigh 18kg. They can carry up to 10kg at a time, with packages stored inside a secure compartment that can be unlocked with a code sent to the customer's phone. 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.

In this paper we present a deeper analysis than has previously been carried out of a selective attention problem, and the evolution of continuous-time recurrent neural networks to solve it. We show that the task has a rich structure, and agents must solve a variety of subproblems to perform well. We consider the relationship between the complexity of an agent and the ease with which it can evolve behavior that generalizes well across subproblems, and demonstrate a shaping protocol that improves generalization.