Tottenham may have coasted through to the Champions League last 16, but their Premier League form remains a problem for boss Thomas Frank. I was at their draw with Burnley last week and there are a lot of angry Spurs fans out there, said BBC Sport football expert Chris Sutton. Their domestic results are such a contrast to their record in Europe, and it could be another difficult afternoon for Frank when they face Manchester City on Sunday. Sutton is making predictions for all 380 Premier League games this season, against AI, BBC Sport readers and a variety of guests. His guest for week 24 is boxer Francesca Hennessy, who supports Chelsea . Hennessy faces Ellie Bouttell in a WBC title eliminator on Saturday, live on BBC Two from 20:00 GMT.

'I realised I'd been ChatGPT-ed into bed': how'Chatfishing' made finding love on dating apps even weirder Where once people were duped by soft-focus photos and borrowed chat-up lines, now they have to watch out for computer-generated charm. But it's one thing to use a witty phrase - another thing entirely to build a whole fake persona S tanding outside the pub, 36-year-old business owner Rachel took a final tug on her vape and steeled herself to meet the man she'd spent the last three weeks opening up to. They'd matched on the dating app Hinge and built a rapport that quickly became something deeper. "From the beginning he was asking very open-ended questions, and that felt refreshing," says Rachel. One early message from her match read: "I've been reading a bit about attachment styles lately, it's helped me to understand myself better - and the type of partner I should be looking for. Have you ever looked at yours? Do you know your attachment style?" "It was like he was genuinely trying to get to know me on a deeper level. The questions felt a lot more thoughtful than the usual, 'How's your day going?'"

Most studies in swarm robotics treat the swarm as an isolated system of interest. We argue that the prevailing view of swarms as self-sufficient, independent systems limits the scope of potential applications for swarm robotics. A robot swarm could act as a support in an heterogeneous system comprising other robots and/or human operators, in particular by quickly providing access to a large amount of data acquired in large unknown environments. Tasks such as target identification & tracking, scouting, or monitoring/surveillance could benefit from this approach.

At the International Joint Conference on Artificial Intelligence (IJCAI) I was lucky enough to catch up with Francesca Rossi, IBM fellow and AI Ethics Global Leader, and President of AAAI. There were so many questions I wanted to ask, and we covered some pressing topics in AI today. Andrea Rafai: My first question concerns the UN Sustainable Development Goals (SDGs). It seems that there is a lot of potential for using AI in helping to work towards the 17 goals. What is your view on these goals and the long-term outlook?

In October last year Francesa Mani came home from school in the suburbs of New Jersey with devastating news for her mother, Dorota. Earlier in the day the 14-year-old had been called into the vice-principal's office and notified that she and a group of girls at Westfield High had been the victims of targeted abuse by a fellow student. Faked nude images of her and others had been circulating around school. They had been generated by artificial intelligence. Dorota had been tangentially aware of the power of this relatively new technology, but the ease with which the images were generated took her aback.

In October, Francesca Mani was one of reportedly more than 30 girls at Westfield High School in New Jersey who were victims of deepfake pornography. Boys at the school had taken photos of Francesca and her classmates and manipulated them with artificial intelligence to create sexually explicit images of them without their consent. The practice is actually stunningly commonplace, but we rarely hear such stories--at least in part because many victims of sexual harassment very understandably don't want to talk publicly about incidents that are so private. But within just a day of learning about the violation, which she calls "shocking," 15-year-old Francesca started speaking out and calling on lawmakers to do something about the broader problem. Her efforts are already starting to pay off with new momentum behind proposals for state and federal legislation, which I wrote about in a story published this morning.

Within 24 hours of learning about the photos, Francesca was writing letters to four area lawmakers, sharing her story and asking them to take action. Three of them quickly responded: US Representative Joe Morelle of New York, US Representative Tom Kean Jr. of New Jersey, and New Jersey state senator Jon Bramnick. In the past few weeks, her advocacy has already fueled new legislative momentum to regulate nonconsensual deepfake pornography in the US. "I just realized that day [that] I need to speak out, because I really think this isn't okay," Francesca told me in a phone call this week. "This is such a new technology that people don't really know about and don't really know how to protect themselves against."

Dupin's pinned a homicide on you." Special Agent Dinah Carter and I had worked on only a couple of cases as partners in the FBI. Now she was programming me for survival mode, to elude the bureau's AI-based crime-solving system, Dupin. "Lose your phone," Dinah told me. Dupin had named me prime suspect in a crime that had occurred just moments before and miles away because I had guessed that the AI was fabricating evidence. I didn't realize then how soon I'd be declared dead. I took the emergency stairs to street level, dropping my cell phone behind a fire hose. With my hood up and watching out for security cameras, I headed onto 10th Street Northwest. When I gave the barista cash for my half-hour online and thimbleful of espresso, he looked at me as if I was something he needed to wipe off his shoe. That left me with a dollar and some loose change. I sat down at a screen and pulled out the AI Primer that Dinah had given me. In the back were the author's details--Professor Francesca Adriaco from Georgetown University. If I had any chance of surviving this, I needed her help. I need to speak with you urgently about artificial intelligence. I guess she had a system monitoring her emails; she replied in minutes and invited me to her office. If I ever survived this, I needed to exercise more. "Hey, Saskia, good to meet you.

The moon landing is an iconic moment in human history but it's easy to forget 51 years later how risky it was. In 1969, there was a very real chance the Apollo 11 mission could have gone horribly wrong and over 600 million people could have witnessed it unfold on their television sets. If that did happen, the broadcasts would have switched to a solemn US President Richard Nixon, who would have addressed the nation with a speech titled "In Event of Moon Disaster". As far as political speeches go, it's a moving oration. "Fate has ordained that the men who went to the moon to explore in peace will stay on the moon to rest in peace," it begins.

This forecast is part of the Risk-Conscious Package, as one of I Know First's equity research solutions. We determine our aggressive stock picks by screening our algorithm daily for higher volatility stocks that present greater opportunities but are also riskier. Package Name: Aggressive Stocks Forecast Recommended Positions: Long Forecast Length: 3 Months (8/28/2019 – 11/28/2019) I Know First Average: 37.51% The algorithm correctly predicted 7 out 10 of the suggested trades in the Aggressive Stocks Forecast Package for this 3 Months forecast. Among the top-performing market predictions in this forecast was FRAN, which registered a return of 277.67%. MHLD and OMI also performed well for this time horizon with returns of 53.16% and 42.33%, respectively.