Is this AI's worst prediction yet? Chris Sutton's guest this week, actor Éanna Hardwicke, plays Roy Keane in Saipan - a new film about the former Manchester United captain's infamous fallout with Republic of Ireland manager Mick McCarthy before the 2002 World Cup. It is in cinemas from Friday. Naturally, we asked AI who would play Sutton if a film were ever made about him. The best fit, apparently, is Hollywood heartthrob Tom Hardy - who is four inches shorter than BBC Sport football expert Sutton but is AI's top choice for the role because he is known for portraying tough, brooding characters with emotional depth. That just shows how way off the mark AI is, said Sutton. But I'm happy with Tom Hardy, even though he is not tall enough.

'Ridiculous amount of games' - has Haaland played too much football? The robot is malfunctioning and in need of a reset. Erling Haaland made a blistering start to the season but that prolific run of form has suffered a glitch. Though the Manchester City and Norway striker has scored a remarkable 39 goals in just 36 games for club and country this season, he has hit a sticky patch of form with only one goal in his past eight games. This has coincided with Pep Guardiola's men falling off the pace in the Premier League title race and suffering a monumental shock at Bodo/Glimt in the Champions League.

'He lives for the goals' - robot Haaland returns from malfunction Is Erling Haaland a big fan of Peter Crouch - or is he actually programmed like a robot? That may - or not be - a question posed after Manchester City's impressive Premier League victory over in-form Bournemouth on Sunday. The Norway striker malfunctioned for only the second time this season when he failed to score in last weekend's loss at Aston Villa, but he was back to being a goal machine with a ruthlessly efficient first-half double against the Cherries. If he is hiding any nuts and bolts under those blonde locks of his, Haaland did prove he was still human by missing a couple of chances to complete his hat-trick. But his scary statistics this season have left many in awe of the 25-year-old's prowess in front of goal, prompting a robot dance to mark his opener in the win that took his side up to second place.

Brighton have won at Old Trafford in each of the past three seasons but can Manchester United get the better of them on Saturday? People get angry whenever I don't back United to win but why should I trust them? said BBC Sport football expert Chris Sutton. They got a great result against Liverpool last time out, but it would be typical of them to follow that by losing this game. Sutton is making predictions for all 380 Premier League games this season, against AI, BBC Sport readers and a variety of guests. For week nine, he takes on The Charlatans guitarist Mark Collins, who supports Manchester United. The Charlatans' 14th album, We Are Love, is out on 31 October and they tour the UK in December.

Fox News senior foreign affairs correspondent Greg Palkot reports on the state of the suspected terrorists in Russia and the Kremlin's'spin machine.' Spain's Ministry of the Interior, on Tuesday, announced that it is on high alert and has activated all alert and response systems to prevent jihadist attacks during the Champions League quarterfinal matches scheduled to take place in Madrid on Tuesday and Wednesday, according to reports. On Tuesday, Real Madrid will take on Manchester City, while on Wednesday, Atlético Madrid will play against Borussia Dortmund. As the quarterfinals approach, threats have been made by the Islamic State terrorist network, which has threatened drone attacks on the soccer tournament, a reminder of the resurgence of the network after several deadly attacks earlier this year in places like Iran and Moscow. The ministry, led by Fernando Grand-Marlask, said the "State Security Forces and Bodies have all their early warning and protection systems activated, as well as their response systems ready" in response to preventing a terrorist attack, according to Spanish newspaper La Vanguardia.

Large language models have been widely adopted in natural language processing, yet they face the challenge of generating unreliable content. Recent works aim to reduce misinformation and hallucinations by resorting to attribution as a means to provide evidence (i.e., citations). However, current attribution methods usually focus on the retrieval stage and automatic evaluation that neglect mirroring the citation mechanisms in human scholarly writing to bolster credibility. In this paper, we address these challenges by modelling the attribution task as preference learning and introducing an Automatic Preference Optimization (APO) framework. First, we create a curated collection for post-training with 6,330 examples by collecting and filtering from existing datasets. Second, considering the high cost of labelling preference data, we further propose an automatic method to synthesize attribution preference data resulting in 95,263 pairs. Moreover, inspired by the human citation process, we further propose a progressive preference optimization method by leveraging fine-grained information. Extensive experiments on three datasets (i.e., ASQA, StrategyQA, and ELI5) demonstrate that APO achieves state-of-the-art citation F1 with higher answer quality.

A concentrate of passion, hope and romanticism. Every year thousands and thousands of teams compete in their leagues with different purposes. Some of them are built to win the title. Others just want to not be relegated. But the answer to their hopes always relies on the same thing: numbers.

Sports data has become widely available in the recent past. With the improvement of machine learning techniques, there have been attempts to use sports data to analyze not only the outcome of individual games but also to improve insights and strategies. The outbreak of COVID-19 has interrupted sports leagues globally, giving rise to increasing questions and speculations about the outcome of this season's leagues. What if the season was not interrupted and concluded normally? Which teams would end up winning trophies? Which players would perform the best? Which team would end their season on a high and which teams would fail to keep up with the pressure? We aim to tackle this problem and develop a solution. In this paper, we proposeUCLData, which is a dataset containing detailed information of UEFA Champions League games played over the past six years. We also propose a novel autoencoder based machine learning pipeline that can come up with a story on how the rest of the season will pan out.

From Leicester City winning the title in 2016 to Liverpool overturning a 4-0 defeat to Barcelona in last season's Champions League, football is impossible to predict. Yet, bringing together world leading companies in data, analytics and artificial intelligence (AI), BT Sport has attempted to do just that. Combining historic performance data from sports industry leaders Opta and Squawka, BT Sport has fed the information into a machine learning model. This calculated the attacking and defensive strengths of each team, as well as the likelihood of events such as transfers and injuries, to calculate the probable scoreline of each match in the season. So where does the AI model's Premier League predictions 2019-20 place your team; where will they claim their biggest victory, and how will they perform against their biggest rivals?

Blue Origin is now in the running to put Americans back on the moon by 2024. Amazon CEO Jeff Bezos has revealed the ambitious next steps for his aerospace company at a highly-secretive media event in Washington, D.C. on Thursday. During the event, which kicked off at 4 p.m., the billionaire and Blue Origin founder started off by sharing elaborate concept images of self-sustaining space habitats reminiscent of the film Interstellar, with lush greenery and futuristic homes within its walls. But, the real star of the talk turned out to be something much closer to home – the moon. On stage, Bezos took the wraps off a massive model of what will be the firm's first lunar lander, dubbed Blue Moon.