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Read this week's top 5 news updates in deep learning and AI: transforming a generation of AI developers, an AI data platform for enterprises, how smart machines are changing medicine, improving passenger safety with deep learning, and self-taught AI learns to solve a Rubik's Cube.
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August 3, 2018 DEEP LEARNING TOP 5 Insights into the new computing model
DEEP LEARNING IS THE FASTEST-GROWING FIELD IN ARTIFICIAL INTELLIGENCE (AI)
AS AI TECHNOLOGIES CONTINUE TO IMPROVE, MORE COMPANIES ADOPT DEEP LEARNING TO ACCELERATE THEIR BUSINESSES…
TOP 5 DEEP LEARNING STORIES 1. Transforming a generation of AI developers 2. An AI data platform for enterprises 3. How smart machines are changing medicine 4. Improving passenger safety with deep learning 5. Self-taught AI learns to solve a Rubik's Cube
1 TRANSFORMING A GENERATION OF AI DEVELOPERS At Google Cloud Next, Google announced it is making NVIDIA Tesla P4 GPUs available as a cloud service, enabling more businesses to get started with AI projects quickly. “The strength of the P4 GPU is it is ideally suited to AI inferencing when real time and efficiency is required…and is designed to increase the performance of servers running deep learning workloads.” READ ARTICLE Source: https://www.cio.com/article/3293424/artificial-intelligence/more-artificial-intelligence-options-coming-to-google-cloud.html?linkId=100000003127153
2 AN AI DATA PLATFORM FOR ENTERPRISES Not all cloud storage providers have the management tools required to collate, process, and transfer AI model data quickly and efficiently. To solve this, NetApp introduced Ontap AI. “Powered by Nvidia’s DGX supercomputers and NetApp’s AFF A800 cloud-connected flash storage, it’s designed to help organizations achieve ‘edge to core to cloud’ control over their data by delivering unprecedented access and performance.” LEARN MORE Source: https://venturebeat.com/2018/08/01/netapp-and-nvidia-announce-ontap-ai-an-ai-data-platform-for-enterprise/
3 HOW SMART MACHINES ARE CHANGING MEDICINE In order to better monitor patients health in real-time, “smart” machines enable clinicians by merging data from devices into a readily interpretable stream. “Teams across the country are harnessing artificial intelligence to create new tools that enhance patient monitoring in ICUs and reduce information overload for clinicians.” READ ARTICLE Source: https://innovationblog.partners.org/industry/bringing-smart-machines-to-medicine
4 IMPROVING PASSENGER SAFETY WITH DEEP LEARNING To improve and insure the safety of passengers and infrastructure, the Swiss Federal Railway (SBB) has equipped multiple high-resolution cameras and sensors to obtain images while traveling at speeds up to 160 kmh. “SBB partnered with CSEM (Swiss Research and Development Center) to address this challenge by initiating the ‘Railcheck’ project, which aims to use deep learning technologies.” READ MORE Source: https://www.forbes.com/sites/nvidia/2018/08/02/how-swiss-federal-railway-is-improving-passenger-safety-with-the-power-of-deep-learning/#12d1298950e3
5 SELF-TAUGHT AI LEARNS TO SOLVE A RUBIK’S CUBE DeepCube is an artificially intelligent system that’s as good at playing the Rubik’s Cube as the best human master solvers. Incredibly, the system learned to dominate the classic 3D puzzle in just 44 hours without any human intervention. “On the surface, the Rubik’s Cube may seem simple, but it offers a staggering number of possibilities. A 3x3x3 cube features a total ‘state space’ of 43,252,003,274,489,856,000 combinations…with no outside help, and with the only input being changes to the cube itself, the system learns to evaluate the strength of its moves.” READ MORE Source: https://gizmodo.com/self-taught-ai-masters-rubik-s-cube-in-just-44-hours-1826918072
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