GeForce NOW isn’t fooling around. This month, 21 games are joining the cloud gaming library of over 2,000 titles. Whether chasing epic adventures, testing skills in competitive battles or diving… Read Article A new resident is moving into the cloud — KRAFTON’s inZOI joins the 2,000+ games in the GeForce NOW cloud gaming library. Plus, members can get ready for an exclusive… Read Article
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In a nutshell, Otoy reverse-engineered Nvidia’s general purpose graphics processing unit (GPGPU) software, known as CUDA, to run on non-Nvidia hardware. That means that programs written in the CUDA language are no longer exclusive to Nvidia graphics chips. Now they can run on GPUs from Advanced Micro Devices, ARM, and Intel. That means a CUDA program written for the PC could run on a PlayStation 4
「いつか勉強しよう」と人工知能/機械学習/ディープラーニング(Deep Learning)といったトピックの記事の見つけてはアーカイブしてきたものの、結局2015年は何一つやらずに終わってしまったので、とにかく一歩でも足を踏み出すべく、 本質的な理解等はさておき、とにかく試してみる ということをやってみました。 試したのは、TensorFlow、Chainer、Caffe といった機械学習およびディープラーニングの代表的なライブラリ/フレームワーク3種と、2015年に話題になったディープラーニングを利用したアプリケーション2種(DeepDream、chainer-gogh)。 (DeepDreamで試した結果画像) タイトルに半日と書きましたが、たとえばTensorFlowは環境構築だけなら10分もあれば終わるでしょうし、Chainerなんてコマンド一発なので5秒くらいです。Caffeは僕
30 minutes not actually guaranteed. I've written this post with a specific target audience in mind, namely those who have a good grounding in existing APIs (e.g. D3D11 and GL) and understand the concepts of multithreading, staging resources, synchronisation and so on but want to know specifically how they are implemented in Vulkan. So we end up with a whirlwind tour of what the main Vulkan concept
Khronos Releases Vulkan 1.0 Specification Multiple Hardware Drivers and Developer SDKs Immediately Available February 16th 2016 – San Francisco – The Khronos™ Group, an open consortium of leading hardware and software companies, announces the immediate availability of the Vulkan™ 1.0 royalty-free, open standard API specification. Vulkan provides high-efficiency, cross-platform access to graphics a
Low-overhead graphics APIs are all the rage these days, at least if you're the sort of person who gets excited about graphics APIs. iOS 8 introduced Metal last year, and OS X El Capitan will bring the API to the Mac when it's released this fall. The just-released Windows 10 includes DirectX 12, which will also come to Windows Phone when it gets updated later this year. And today Google announced t
Khronos unveils Vulkan: OpenGL built for modern systems Coming later this year, the new API promises efficiency and performance. The Khronos Group announced today Vulkan, its next generation API for high performance 3D graphics and GPU-based computation. Vulkan, previously known as Next Generation OpenGL or just GLnext, is designed to be a low-overhead API that facilitates multithreaded 3D develop
Announcing the release of Vulkan 1.4 Vulkan 1.4 Khronos Streamlines Development and Deployment of GPU-Accelerated Applications. Vulkan 1.4 integrates and mandates support for many proven features into its core specification, expanding the functionality that is consistently available to developers, greatly simplifying application development and deployment across multiple platforms Vulkan 1.4 Press
FAIR has achieved noted advancements in the development of AI training hardware considered to be among the best in the world. We have done this through a combination of hardware expertise, partner relationships with vendors, and a significant strategic investment in AI research. FAIR is more than tripling its investment in GPU hardware as we focus even more on research and enable other teams acros
NVIDIA Launches New GPUs For Deep Learning Applications, Partners With Mesosphere The days when GPUs were only about letting you play Crysis with a higher framerate are long over. Many of the most transformative new computational techniques now rely on GPUs’ ability to quickly run certain algorithms in parallel. One area where GPUs are especially helpful (besides video encoding) is machine learnin
TOPICS 発行年月日 2015年08月 PRINT LENGTH 144 ISBN 978-4-87311-745-4 FORMAT Caffeは深層学習(Deep Learning)のオープンソースフレームワークで、主に画像処理分野において利用されています。本書はCaffeを使って画像処理をしてみたいという初心者を対象に、Caffeの使い方、Caffeを使う上で最低限必要な知識について解説する書籍です。 まずビルド方法や利用するためのインターフェースの解説から、実際に画像認識を行う一連の流れを説明します。続いてCaffeで利用している畳み込みニューラルネットワーク(CNN)とその構成要素、さらにAlexNetやGoogLeNetといった代表的なCNNのアーキテクチャについても解説します。 さらにblobやlayerといったCaffe独自のクラス、また設定できるパラメータについて解説し
March 27 | Online Webinar: Unlocking the Power of Vulkan Video Encode Gain insight into how Vulkan Video optimizes encoding workflows, reduces CPU overhead, and provides fine-grained control over encoding parameters. VIEW EVENT PAGE & REGISTER Announcing the release of Vulkan 1.4 Vulkan 1.4 Khronos Streamlines Development and Deployment of GPU-Accelerated Applications. Vulkan 1.4 integrates and ma
Caffe Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR) and by community contributors. Yangqing Jia created the project during his PhD at UC Berkeley. Caffe is released under the BSD 2-Clause license. Check out our web image classification demo! Why Caffe? Expressive architecture encourages application and innovat
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