hour. what is the latest? tension. you can feel hour. what is the latest? tension. you can feel the hour. what is the latest? tension. you can feel the anxiety hour. what is the latest? tension. you can feel the anxiety in - hour. what is the latest? tension. you can feel the anxiety in the - you can feel the anxiety in the air is hundreds watch on henman hill, many british fans tried to will andy murray over the line. this is going along in the first set as you say and we are exceedingly heading for a first set tie break against the fifth seed, against a man, tsitsipas, who has not reached past the fourth round here but compared to any murray who is a two time champion but is now 36 with a metal hip. not one the people we would expect to be a contender this week but any murray says he is feeling good and want to couple of challenger tournaments on grass coming into these sheep and ships and he believes he can beat tsitsipas who has had frailties in the past. this could
we are still a long way from curing. we have been getting some reaction to all that from sir nigel shadbolt, researcher in al, professor at oxford university. he is the executive chair of the open data institute. health s a good example. drug discovery, prediction of disease, it s already performing at levels to analyse images from ct scans to x rays. there s a whole range of ways in which ai, which is great at finding patterns, great at producing outcomes, great at finding and applying the rules that might help us build better solutions, can operate to our benefit. health s a good example, but so is climate change, another existential threat. it will be the ai driven models that help us understand how the climate is changing and what we can do to ameliorate those effects. they will be hugely consequential. and one could really reel off a whole range of area where the benefits really are there to see. they ve been there for decades. we re seeing them more dramatically reveale
parts of the world come here to use that talent base? that talent base? i think it is a broader ecosystem. that talent base? i think it is a broader ecosystem. i - that talent base? i think it is a broader ecosystem. i think - that talent base? i think it is a | broader ecosystem. i think the tradition of ai research in the uk goes back decades. all the way back you can argue to the founding, little of the founding father of computing which is alan turing, writing papers on the potential for machine intelligence back in the 19505. machine intelligence back in the 1950s. you can see work in the 60s, 70s, 80s, 90s, into the 2000 square uk researchers from our universities and research labs and industrial companies have developed ai, much of which is right there, right now unremarked on on our systems mobile phones, and logistics supply software that runs our retail, just in time systems, planning systems. there is many fruits of ai already there and i think the uk and is well position
you can see work in the 60s, 70s, 80s, 90s, into the 2000s where uk researchers from our universities and research labs and industrial companies have developed ai, much of which is right there, right now unremarked on on our systems, mobile phones, and logistics supply software that runs our retail, just in time systems, planning systems. there is many fruits of ai already there, and i think the uk is well positioned with its brilliant higher education system, with its pool of talent coming through. one of the challenges is to retain some of those companies, some of those start ups we re seeing, some of those great new ideas within the uk, and i think that will be a challenge going forward to how we capitalise and maintain. but also working in the wider international context is a win also because we get access to a wider talent pool to think about goods. it s not all about sovereign power, it s also about working collaboratively together.
presidential election. 11 of the defendants are charged with conspireing to hack into computers, steal documents and release those documents with the intent to interfere in the election. one of those defendants and a 12th russian military officer, are charged with conspireing to infiltrate computers of organizations involved in administering elections, including state boards of election, secretaries of state and companies that supply software used to administer elections. according to the allegations in the indictment, the defendants worked for two units of the main intelligence directorate of the russian staff. they engaged in cyber operations to interfere in the 2016 presidential election. there was one unit that engaged in active cyber operations by stealing information.