Archive for 'Machine Learning' Category:

Zombie (after) 200w
By Monty Barlow: Tuesday 31st October, 2017

Cutting-edge generative Zombies

Halloween is held in special regard by many machine learning practitioners. There’s an established tradition – especially for those working with photographic images – of generating zombie versions of your colleague mugshots or publishing images of Halloween-themed horrors to mark the occasion. One of our favourites was MIT’s Nightmare Machine in 2016. So, why Halloween? […]

Conventional upscaling versus super-res
By Monty Barlow: Thursday 24th August, 2017

Magic using super resolution neural networks

There’s a scene in Ridley Scott’s 1982 film Blade Runner where the protagonist zooms deeper and deeper into a photograph of a crime scene, revealing a seemingly impossible level of detail. Just how fanciful this scene really is has been debated by sci-fi fans for decades, but the ability for photographers to significantly enhance a […]

By Richard Leyland: Thursday 29th June, 2017

Machine Learning with ‘The Aficionado’

Our team is at the cutting edge of Machine Learning. We set out to collide science and art, to develop a machine learning system with human-like judgement, in the infinitely complex world of live music. Here’s how:

Car park
By Sabrina Blackwell: Thursday 23rd March, 2017

Teaching an old camera new tricks

Few things are as useless as CCTV cameras. Most are low-res, unwatched and unloved. What if I told you that we could turn a bog standard CCTV camera, simply a dumb feed from a camera that’s pointed at a car park that we’ve never even visited, into an automated parking monitor? Machine Vision and Machine […]

By Monty Barlow: Thursday 22nd December, 2016

Augmented Festivity – and the search for more reality

‘Augmented Festivity’ – A term which yields only one hit on Google, and that’s from 1891. Let’s see if we at Cambridge Consultants can make it real… Imagine a future where your smart retina implants start overlaying festive imagery every time you enter a public space during the holiday season. Our Machine Learning team has […]

Brain in a vat
By James Clemoes: Tuesday 6th December, 2016

Getting real with Machine Learning

Everyone claims they’re doing it, most aren’t doing it, a few are doing it badly, and even fewer are doing it well. With the ready availability of great Machine Learning frameworks, such as Torch (used by Facebook) and Google’s TensorFlow, the barrier to entry can seem deceptively low. Such tools are relatively straightforward to install […]