Home Secretary Priti Patel has claimed that'contactless corridors' at UK airports will let British citizens skip passport queues and breeze through border controls in just two years' time. It is thought the corridors will use concealed cameras to scan people's faces as they walk through, and compare them with a digital database of details that all visitors will have to submit before travelling – possibly via an app. If a match is found, they will be cleared for entry into the UK without having to stop or scan their passport, while those that don't match will be redirected back to customs. The UK government will be trialling the corridors at airports in 2024, prior to a full rollout planned for 2025. The new automated border screening system would replace having to go through an eGate or speaking to a Border Force officer.

A chilling video reminiscent of Black Mirror of a robot dog opening fire with a submachine gun strapped to its back - uploaded by the Russian founder of a hoverbike company - is a preview of future warfare. Alexander Atamanov, the founder of a Russian hoverbike company, uploaded the viral video, which shows a UnitreeYushu dogbot that retails online for about $3,000 shooting at snow-covered hills outside, and it appears he was simply creating something to play around with. At a time when autonomous drones are being used to target terrorists and the US Army has its own sniper rifle-armed robot dog, the video is a terrifying reminder that this type weapon is already a reality. The robot dog, called a'technology dog' by its manufacturer, appears to be carrying a Russian gun known as a PP-19 Vityaz, a type of submachine gun that's based on the AK-47 design The robot dog, called a'technology dog' by its manufacturer, appears to be carrying a Russian gun known as a PP-19 Vityaz, a type of submachine gun that's based on the AK-47 design, according to Vice. The robot also has strips of Velcro on its sides and a Russian flag is seen on its left flank.

When Microsoft unleashed Tay, its AI-powered chatbot, on Twitter on 23 March 2016, the software giant's hope was that it would "engage and entertain people… through casual and playful conversation". An acronym for'thinking about you', Tay was designed to mimic the language patterns of a 19-year-old American girl and learn by interacting with human users on the social network. Within hours, things had gone badly wrong. Trolls tweeted politically incorrect phrases at the bot in a bid to manipulate its behaviour. Sure enough, Tay started spewing out racist, sexist and other inflammatory messages to its following of more than 100,000 users. Microsoft was forced to lock the @TayandYou account indefinitely less than a day later, but not before its creation had tweeted more than 96,000 times.

A few weeks ago, François-Philippe Champagne, Canada's Minister of Innovation, Science and Industry, announced the launch of the second phase of the Pan-Canadian Artificial Intelligence Strategy. This second phase, which is expected to benefit from an investment of more than $443 million, aims to attract the best talent, increase cutting-edge research capacity, and foster the commercialization and adoption of AI. In 2017, the Canadian government was the first country to establish a national AI strategy. CIFAR, the Canadian Institute for Advanced Research, was tasked with developing and leading this pan-Canadian strategy, initially funded with $125 million. CIFAR is working closely with the three national AI institutes: Mila in Montreal, the Vector Institute in Toronto and Amii in Edmonton, as well as with Canadian universities, hospitals and other organizations.

Artificial intelligence has been described as a'general purpose technology'. This means that, like electricity, computers and the internet before it, AI is expected to have applications in every corner of society. Unfortunately for organisations seeking to keep their IT secure, this includes cybercrime. In 2020, a study by European police agency Europol and security provider Trend Micro, identified how cybercriminals are already using AI to make their attacks more effective, and the many ways AI will power cybercrime in future. "Cybercriminals have always been early adopters of the latest technology and AI is no different," said Martin Roesler, head of forward-looking threat research at Trend Micro, when the report was published. "It is already being used for password guessing, CAPTCHA-breaking and voice cloning, and there are many more malicious innovations in the works."

"You don't want to be lagging behind, because that puts you in the spotlight," said Alma Angotti, a former senior enforcer with the U.S. Treasury Department's Financial Crimes Enforcement Network who now works as a partner at the consultancy Guidehouse Inc. "It will at some point be a regulatory expectation." The more stringent compliance expectations of President Biden's administration have prompted companies that are lagging to try to catch up, Ms. Angotti said. New AI-focused offerings are designed to reform the laborious approach to compliance that has long prevailed at many financial institutions and other entities. Compliance departments traditionally have used painstaking manual approaches to try to find the proverbial needle of crime amid the mountainous haystack of legitimate transactions and well-behaved clients. AI can do the job better, require less staff and enable continuous check-ups on customers and transactions for money-laundering issues and sanctions violations, proponents say.

Abstract. Artificial intelligence (AI) techniques are starting to be used in IVF, in particular for selecting which embryos to transfer to the woman. AI has the

The UK government launched a trio of documents concerning AI on 18 July, all with the general purpose of fostering innovation, increasing public trust in the technology and giving clarity to business. But for the detail that will allow this, there is a wait until at least the end of the year when the government will publish its white paper on AI regulation, itself another pause for reflection. The department responsible is clear on the UK approach differing from that of the EU as regulation will be spread across six bodies rather than one dedicated regulator in the EU, but less clear on what the regulation will be for now other than so light-touch that it may just be guidance. In the meantime, one of the documents calls for views on regulation over the next 10 weeks. Last September, a trio of agencies (the Department for Digital, Culture, Media and Sport, the Department for Business, Engergy and Industrial Strategy and the Office for Artificial Intelligence) released the National AI Strategy guidance which promised useful developments such as a transparency standard for AI coding, something of a world-first (subsequently published in December).

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Most cybersecurity technologies, such as endpoint detection and response (EDR) solutions, simply identify, track, record, and contain a threat once it has already entered an environment. Machine learning-based cybersecurity solutions are also an essential part of any security strategy, and use pre-labelled data, classified as either benign or malicious, to detect dangerous patterns. But neither set of cybersecurity solutions can proactively defend against sophisticated attacks without constant human tweaking. Fortunately, deep learning can mimic the functionality and connectivity of neurons in the human brain, enabling neural networks to independently learn from raw and un-curated data and automatically recognize unknown threats. "Deep learning is the only family of algorithms that works on raw data to identify cybersecurity threats with unmatched speed and accuracy," says Guy Caspi, CEO of Deep Instinct, a cybersecurity company.