Scientists at the University of Oxford used AI to develop a new biomarker, or'fingerprint' called fat radiomic profile (FRP). The technology could identify people at high risk of a fatal heart attack at least five years before it strikes by detecting biological red flags in the perivascular space lining blood vessels which supply blood to the heart, Tech Explorist reports. Currently, there are no methods routinely by specialists that can spot the majority of the fundamental warnings for a future heart attack. For this study, scientists primarily used fat biopsies from 167 people undergoing cardiac surgery. They then analyzed the expression of genes related with inflammation, scarring, and new blood vessel formation, and matched these to the CCTA scan images to figure out which highlights best demonstrate changes to the fat encompassing the heart vessels, called perivascular fat.

In one of the first lawsuits to address the use of live facial recognition technology by governments, a British court ruled on Wednesday that police use of the systems is acceptable and does not violate privacy and human rights. The case has been closely watched by law enforcement agencies, privacy groups and government officials because there is little legal precedent concerning the use of cameras in public spaces that scan people's faces in real time and attempt to identify them from photo databases of criminal suspects. While the technology has advanced quickly, with many companies building systems that can be used by police departments, laws and regulations have been slower to develop. The High Court dismissed the case brought by Ed Bridges, a resident of Cardiff, Wales, who said his rights were violated by the use of facial recognition by the South Wales Police. Mr. Bridges claimed that he had been recorded without permission on at least two occasions -- once while shopping and again while attending a political rally.

'Farm AI: Community Smart Farming from IoT to AI' aims to take the researchers' work in China – a project named LIVEQuest* which developed a wearable Internet-of-Things (IoT) platform that enables automated data collection on animal welfare and barn environment - further into the Association of Southeast Asian Nations. It will support the sustainable intensification of food production and animal health by community farm holders via the Belt and Road Initiative (BRI) along the old and new silk routes. It has been shortlisted for the Chair's Award which offers up to £500,000 for a project that demonstrates the best knowledge exchange, partnership development and research impact. Farm-AI brings together a mutually complementary and synergistic UK, China, Vietnam and Cambodia team to innovate a sustainable and low-cost IoT system coupled with embedded AI for community smart farming via field trials, workshops and academic exchanges. This project will position the UK as a world leader and pathfinder for the deployment of AI empowered cost effective and IoT systems to support smart farming in developing countries.

It is now table stakes for artificial intelligence algorithms to "learn" about the world around them. The next level: For AI bots to learn how to talk to each other -- and develop their own shared language. New research released last week by OpenAI, the artificial intelligence nonprofit lab founded by Elon Musk and Y Combinator president Sam Altman, details how they're training AI bots to create their own language, based on trial and error, as the bots move around a set environment. This is different from how artificial intelligence algorithms typically learn -- using large sets of data, like to recognize a dog by taking in thousands of pictures of dogs. The world the researchers created for the AI bots to learn in is a computer simulation of a simple, two-dimensional white square.

Researchers, including one of Indian-origin, have found that bots or fake accounts enabled by Artificial Intelligence (AI) on social media have evolved and are now able to copy human behaviour to avoid detection. For the study published in the journal First, the research team from the University of Southern California examines bot behaviour during the 2018 US presidential elections compared to bot behaviour during the 2016 US elections. "Our study further corroborates this idea that there is an arms race between bots and detection algorithms. As social media companies put more efforts to mitigate abuse and stifle automated accounts, bots evolve to mimic human strategies. Advancements in AI enable bots producing more human-like content," said study lead author Emilio Ferrara.

The world's biggest tech manufacturers are currently taking the stage at IFA 2019 in Berlin, Germany. The event is billed as Europe's largest consumer tech show where consumer tech meets innovation. But in a digital world where the lines between B2B and B2C are becoming increasingly blurry, there are a few critical lessons for businesses from all industries too. On the surface, IFA is simply a platform for 1,939 of the world's leading tech brands and manufacturers to showcase their latest innovations, products, or services across 163,900 square meters. Sure, many of these products will appear on wish lists and dominate headlines around Black Friday, Cyber Monday and the impending holiday season. But, if you zoom out from that, there is a message for every CEO.

Australian workers could end up thousands of dollars richer each year by quitting their jobs and reskilling to enter the technology industry, new research has revealed. The nation is to poised to undergo a tech jobs boom over the next five years, a report launched by Treasurer Josh Frydenberg on Thursday claimed. The news comes as Australia's economy goes from bad to worse, posting the slowest annual growth since the year 2000, with the prospect of a jobs boom offering a sliver of hope for workers frustrated by continuing wage stagnation. An estimated 100,000 new information technology (IT) roles will be created by 2024, bringing the total to about 792,000, the report titled Australia's Digital Pulse 2019 and commissioned by the Australian Computer Society (ACS) said. While reskilling into the IT industry could give the average Australian worker an $11,000 salary increase, the nation is likely to struggle to find workers with the skills to meet the oncoming tech jobs tsunami, the report warned.

Schools in India need to move from Anglo-Saxon education system to artificial intelligence (AI) driven method of teaching, Niti Aayog CEO Amitabh Kant said on Thursday. Less than 20 per cent graduates in India are employable, and therefore it is important to push for teaching of frontier technologies such as artificial intelligence in IITs and engineering colleges to increase their employability, Kant said an event here. "At the school level, India needs to move away from the Anglo-Saxon system of education to provide AI based personalized and adaptive learning opportunities for children. "Having said that, the Indian education system needs to be more innovative and driven by new tech, therefore, we are actively facilitating online learning at the government level," he said at Bertelsmann India Summit. The summit was designed to drive high-powered interactions with education ecosystem players – an exciting mix of policy makers, thought leaders, educators, investors among others.

The labor ministry said Friday it has issued administrative guidance to Recruit Career Co. for selling to its clients web browsing data predicting the odds of job-hunting students declining informal job offers, without the students' consent. The ministry judged that selling the data violated the employment security law. The guidance was issued through the Tokyo Labor Bureau. The ministry said providing such information to companies before hiring decisions were made and without the students knowing about it, in a situation where students gave no consent or had no choice but to give consent, weakened the students' position and had a withering effect on their job-hunting activities. It thus demanded that Recruit Career take corrective steps.

Can you fight cancer with the help of Big Data and Machine Learning? How can these technologies help in the procedure of diagnosis, drug discovery and treating cancer? Cancer is an ailment with a long tail distribution. This implies there are different explanations for this condition to take place with no single solution to get rid of it. There are ailments which influence a huge number of people, however, have a sole reason for the event to occur.