In this guide we explain the difference between AI, machine learning and deep learning, and includes highlights of the insideBIGDATA audience survey. To learn more about AI and deep learning download this guide.
In this slidecast, Marc Hamilton from Nvidia describes the latest updates to the company’s Deep Learning Platform. “Great hardware needs great software. To help data scientists and developers make the most of the vast opportunities in deep learning, we’re announcing today at the International Supercomputing show, ISC16, a trio of new capabilities for our deep learning software platform. The three — NVIDIA DIGITS 4, CUDA Deep Neural Network Library (cuDNN) 5.1 and the new GPU Inference Engine (GIE) — are powerful tools that make it even easier to create solutions on our platform.”
Artificial Intelligence and machine learning changes everything. Join the insideBIGDATA team at the GPU Technology Conference which will cover almost every aspect of it. Deep learning or machine learning couples the parallel processing capabilities of GPUs with the vast quantities of data unleashed by the internet — has unlocked a new generation of artificial intelligence applications. Image classification, video analytics, speech recognition, natural language processing — these are just the start.
“NVIDIA will present an update on accelerated computing, in particular, the latest de- velopments in the platform. They will touch upon NVLink, OpenPOWER, ARM64, and new software updates and also cover the broad-sweeping impact that a new field of machine learning, called Deep Learning, is having on applications and domains.”