Pioneering artificial intelligence (AI) which automatically diagnoses lung diseases – such as tuberculosis and pneumonia – could ease winter pressures on hospitals, University of the West of Scotland researchers believe. Tuberculosis and pneumonia – potentially serious infections which mainly affect the lungs –often require a combination of different diagnostic tests,– such as CT scans, blood tests, X-rays, and ultrasounds. These tests can be expensive, with often lengthy waiting times for results. Developed by UWS, the revolutionary technology – originally created to quickly detect Covid-19 from X-ray images – has been proven to automatically identify a range of different lung diseases in a matter of minutes, with around 98 per cent accuracy. UWS researcher Professor Naeem Ramzan said: "Systems such as this could prove to be crucial for busy medical teams worldwide."

Go is so much more complex than chess in terms of the number of possible moves and the number of possible iterations that Google didn't do what IBM did with Deep Blue. In 1997 Deep Blue, literally the programmers had Deep Blue consider every possibly move and go out to examine every single possibility and then go back and pick whichever one had the most possible mean combinations going off of that branch that it set up because Go is thousands and thousands of times more complex with so many more possible moves. I mean, I believe there's something like trillions of possible moves or possible sequences in any given Go game. What AlphaGo, which was Google's project did, they taught it by having it play itself. Playing itself against games to figure out what the best practices and best strategy were.