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The competition is over. The results can be found here Sponsored by that hires complete Python-Expert-Teams - no relocation needed - apply NOW Motivation Doom has been considered one of the most influential titles in the game industry since it popularized the first-person shooter (FPS) genre and pioneered immersive 3D graphics. Even though more than 20 years have passed since Doom’s release, the m

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I enjoyed a UGM that held on Nov. 5, 6 and hope participants also enjoyed the meeting. One of the topics of the meeting was “Deep Learning”(???). I introduced about python library for deep learning called ‘chainer’ . I presented my challenge to build model for QSAR, using chainer but results were ….(Hahaha) Chainer is very powerful library, but I have one problem to use chainer. The problem was th

Read it now on the O’Reilly learning platform with a 10-day free trial. O’Reilly members get unlimited access to books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers. Advances in both theory and practice are throwing the promise of machine learning into sharp relief. The field has the potential to transform a range of industries, from self-driving c

We all know that deep convolutional neural networks have produced some stellar results on object detection and recognition benchmarks in the past two years (2012-2014), so you might wonder: what did the earlier object recognition techniques look like? How do the designs of earlier recognition systems relate to the modern multi-layer convolution-based framework? Let's take a look at some of the big

Why AI development is going to get even faster. (Yes, really!) by Jack Clark The pace of development of artificial intelligence is going to get faster. And not for the typical reasons — More money, interest from megacompanies, faster computers, cheap&huge data, and so on. Now it’s about to accelerate because other fields are starting to mesh with it, letting insights from one feed into the other,