[mc4wp_form] Ebay has its own unique set of technical challenges when using machine learning for image and text recognition across more than 800 million items on offer every day. On top of this, [...]
Geoffrey Hinton has a powerful and relatively rare skill to compliment his research. That is, to be able to articulate complex concepts into language that anyone can understand. He recently spoke [...]
I am not entirely sure what to make of the news that Baidu admitted to turning the ImageNet Gentlemen’s Club into an all-you-can-eat engorgement of challenge submissions. If you hold these [...]
The personalized video recommendations which are served up by Netflix are a glossy front page which is a result of Research Engineers like Ehtsham Elahi rolling his sleeves up for machine [...]
Twitter is a challenge for deep learning. It’s easy to forget too that whilst Baidu, Google and Facebook are elbow barging each other to get to the front of the line, that Twitter is also a [...]
Deep Learning at Baidu is all the rage at the moment, that is, at least until they are out-algorithmed by another research laboratory, perhaps with more compute power. This is, of course, all [...]
Deep Learning has been in our palms for a while now, and we all get to see the results from the requests we send to the tech companies we rely on for kicks and flicks which means the exodus of AI [...]
The sorcery of work in machine learning systems nowadays owes itself to a pedigree of pioneers in artificial intelligence, mathematics and computer science that laid the flagstones for others to [...]
The unrelenting thirst for us to pour as much data about ourselves into the vaults at Facebook has created the perfect nesting ground for Data Scientists to gather with thoughtful fingers tapping [...]
Ted Willke’s work at Intel Labs has seen him use well known toolsets to bring order to the chaos of big data, guiding his teams through massive updates to graph based machine learning and [...]
