An AI writer — can this really be?
The AI developed by Alphabet, Google’s parent company, just received a new and powerful update.
Some creepy deformities at large, but we get the idea: machines are getting smarter.
Between 2,500 and 4,000 so-called ‘extremists’ have been killed by drone strikes and kill squads in Pakistan since 2004. Maybe as early as 2007, the NSA has targeted terrorists based on metadata supplied by machine learning program named Skynet. I have no idea who would find naming Skynet a machine designed to list people for assassination a bright idea, but that’s besides the point. The real point is that the inner workings of this software, as revealed in part by Edward Snowden from his leaks, suggest that the program might be targeting innocent people.
How cool would it be to solve most of your personal problems like you’d use google. “Where’s my keys?” or “What meds did the vet say I should give my cat?”. Well, be careful what you wish for, because there’s a reason a personal search engine doesn’t exist yet: it can only work if you’re under surveillance 24/7. Or .. at least when you’re awake.
From its first try, a computer can now draw handwritten characters from an unfamiliar language just as well as humans can.
Microsoft released an app that can guess emotions based on an uploaded photo.
The word on every tech executive’s mouth today is data. Curse or blessing, there’s so much data lying around – with about 2.5 quintillion bytes of data added each day – that it’s become increasingly difficult to make sense of it in a meaningful way. There’s a solution to the big data problem, though: machine learning algorithms that get fed countless variables and spot patterns otherwise oblivious to humans. Researchers have already made use of machine learning to solve challenges in medicine, cosmology and, most recently, crime. Tech giant Hitachi, for instance, developed a machine learning interface reminiscent of Philip K. Dick’s Minority Report which can predict when, where and possibly who might commit a crime before it happens.
A team at MIT has developed a prediction algorithm that allows them to determine when the price of the infamous volatile cryptocurrency, Bitcoin, will drop or rise. Using this method, the researchers managed to double their initial investment in 50 days, all through an automated process that involved more than 2,800 transactions. Money forecast Since the last year or so, Bitcoin