[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, [...]
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 [...]
I look at a lot of characteristics in Software Developers for my clients and I still find it extremely challenging to find the right balance of skills and character for me to represent someone. [...]
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 [...]
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 [...]
Stanford University Computer Systems Colloquium hold live talks throughout the academic year which are open to the public and last Tuesday saw Carey Nachenberg of Symantec and UCLA CS as guest [...]
Jen-Hsun Huang, CEO and Co-founder of Santa Clara based GPU manufacturer Nvidia presented at this week’s GPU Technology Conference in Silicon Valley, explaining how deep learning will allow [...]
There is every chance that the billions of us providing behavioural data to giants like Google and Facebook might be sleepwalking straight through the single most pivotal period in technological [...]
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