Every nation has its quirks, and it could be argued that the U.S. has more than its fair share, but what stands out the most to me – as a tech journalist who recently made the move across the pond – is that in many ways, the nation of Silicon Valley is still stuck in the 90s. Take cheques (or checks as you Yankees would call them) for example. In England it had been years since I’d last seen one of those things, much less written one. Up until five years ago our in-laws might have used them to give…
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We recently discovered a new perpetrator of the dreaded “crunch culture” of video game development — the legendary Bioware. When Kotaku‘s Jason Schreier wrote an article about the struggles during development of Anthem, the studio lashed out, before privately admitting that maybe it does have problems. The whole account is almost a microcosm of the problems with believing in the value of crunch, and why it just doesn’t work. The article, titled “How BioWare’s Anthem Went Wrong,” cited numerous Bioware employees who reported health problems as a result of the rough schedule needed in the months pre-launch to get Anthem out the…
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A pair of researchers recently developed a method for successfully conducting unsupervised machine learning that closely mimics how scientists believe the human brain works. These biologically-feasible algorithms could provide an alternate path forward for the field of AI. IBM researcher Dmitry Krotov and John J. Hopfield, inventor of the associative neural network, developed a set of algorithms that teach machines in the same loose, unfettered way humans learn. Their algorithms allow machines to learn in an unsupervised manner – without using the shortcuts (biologically-infeasible methods) that modern deep learning does. A lot of ancient AI research – conducted in the…
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