preferences, we re looking back at that model in that 3d space to say, well, you like flavours right over here. let s recommend things that are close to that. and we re not going to recommend over here because it s the opposite of what you like. the ai does the hard work so you don t have to. which, personally, i m rather devastated about. why would you need something like this? surely people know what they want to drink when they go out. you do know what you like to drink. but there s a whole world of beer out there that you ve never had before. we ve seen the craft beer space has exploded tremendously in the last few decades. the number of amazing breweries you can go to. now, you go into a bar and you re looking at a list a mile long. give me three beers to choose from, i can do that quickly. give me 100. good luck. i m going to walk away. i ll accept the challenge, to be honest. well, we appreciate you taking that challenge on. someone s got to do it. cheers. after a few more
and the flavoured orange beer is over here. how similar or dissimilar are they to each other on a bunch of different vectors? when someone comes up here and we identify their unique preferences, we re looking back at that model in that 3d space to say, well, you like flavours right over here. let s recommend things that are close to that. and we re not going to recommend over here because it s the opposite of what you like. the ai does the hard work so you don t have to. which, personally, i m rather devastated about. why would you need something like this? surely people know what they want to drink when they go out. you do know what you like to drink. but there s a whole world of beer out there that you ve never had before. we ve seen the craft beer space has exploded tremendously in the last few decades. the number of amazing breweries you can go to. now, you go into a bar and you re looking at a list a mile long. give me three beers to choose from, i can do that quickly. give me
labourand we them in a imaginary 3d cube of labour and we say, the ipa is over here and the stout is over here and the flavour of orange beer is over here. how similar or dissimilar are they to each other on a bunch of different vectors. when someone comes up here and we identified their unique preferences, we re looking back at the model and the sd looking back at the model and the 3d space to say well, you like flavours right over here, let s recommend things that are close to that and we won t recommend over here because it is the opposite of what you like. is the opposite of what you like. ~ ., , ., ., ~ like. the ai does the hard work so ou like. the ai does the hard work so you don t like. the ai does the hard work so you don t have like. the ai does the hard work so you don t have to like. the ai does the hard work so you don t have to do. - like. the ai does the hard work so you don t have to do. which | so you don t have to do. which personally i am rather devastated a
we measure that light and that gives us the unique barcode so to speak, for the taste or smell, and then we put them in a imaginary 3d cube of flavour and we say, the ipa is over here and the stout is over here and the flavour of orange beer is over here. how similar or dissimilar are they to each other on a bunch of different vectors. when someone comes up here and we identify their unique preferences, we re looking back at the model and the 3d space to say well, you like flavours right over here, let s recommend things that are close to that and we won t recommend over here because it is the opposite of what you like. the ai does the hard work so you don t have to do. which personally i am rather devastated about. why would you need something like this? surely people know what they want to drink when they go out. you know what you like to drink but there is a whole world of beer out there that you have never had before. the craft beer space has exploded tremendously in the past few d
but gives way when walked on. learning how to get over all kinds of surfaces remotely can help search and rescue robots like this navigate hazardous environments. and finally, you might want headphones for this one, as the australian open is now accessible to ears as well as eyes. blind and visually impaired people can now hear the position of the tennis ball, thanks to action audio, which places ball bounces and hits in 3d space. have a listen. different tones play. its inventors use real time data from ball monitoring software already in use for umpire decisions. game, headset and match! what am i doing over there, though? what s he doing? in early 2020, pretty much the last thing ifilmed outside of the uk just before we were all locked inside our homes was portl, in los angeles. spoiler alert, i m not really in the box i m over here!