Discover how Deutsche Bank, U.S. Bank, Capital One, and other firms are using AI technologies to optimize customer experience in financial services through recommender systems, NLP, and more.
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Training resources are always a challenge for IT departments. There is a fine line between letting new team members do more without supervision and keeping the lights on by making sure no mistakes are made in the production environment. Leaning towards the latter method and limiting new team members�� access to production deployments may lead to knowledge gaps. How can new team members learn if��
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Deploying AI applications at the edge over a 5G connectivity fabric is an important step in driving digital transformation for enterprise operations. AI is reshaping how enterprises across every industry segment are doing their business. 5G offers superfast, wide-area, secure, low-latency and ultra-reliable connectivity, enabling enterprises to link their AI systems, whether on premises��
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Switzerland-based Assaia International AG, an NVIDIA Metropolis partner and member of the NVIDIA Inception acceleration platform for AI startups, is deploying a deep learning solution at Cincinnati/Northern Kentucky International Airport (CVG) to help airport employees monitor the turnaround time between flights. The Turnaround Control tool will help the airport work with its airline partners��
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To measure the impact of outdoor advertising, Brazil-based DataVisiooh, a member of NVIDIA Inception, developed an AI solution to capture performance analytics in real-time. ��Our platform goes beyond simply counting the flow of people and vehicles and shows advanced data such as demographic information (gender, age group), screen viewing time, exposure time, and even how many people looked at��
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The COVID-19 pandemic brings the efforts of the data science community to the forefront. Real-time, interactive visualizations of the novel coronavirus�� spread across populations help researchers, scientists, health officials and governments understand, validate, and communicate important insights hidden among hundreds of millions of rows of records. NVIDIA and Plot.ly, a premier member of��
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Edge computing is essential for the processing and generating real-time insights from billions of sensors around the world. Pixels from cameras are converted to actionable insights using AI on the edge. Intelligent video analytics technology is used to aid traffic management for cities, automated checkout in retail stores, non-contact automated visual inspection in manufacturing facilities��
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AI developers, data scientists and companies building intelligent video analytics apps face significant challenges in creating and deploying highly accurate AI. Some of the key issues include dataset collection and labeling, achieving high accuracy with available dataset, deploying on legacy infrastructure, and scalability of apps and services. With billions of cameras and sensors deployed��
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GTC Digital is all the great training, research, insights, and direct access to the brilliant minds of NVIDIA��s GPU Technology Conference, now online. Join live webinars, training, and Connect with the Experts sessions, or choose from a library of talks, panels, research posters, and demos that you can view on your own schedule, at your own pace. See all of the GTC Content here.
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Imagine every parent��s worst nightmare: a child lost in a crowded mall. Now imagine a scenario where that child is located and rescued in a matter of minutes using a network of cameras deployed within the building �� and all the video is recorded, retrieved and analyzed in real time. This represents just one of many possibilities offered by the field of video analytics.
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Late last year, the NVIDIA Inception Program hosted a ��Cool Demo Contest�� for GPU-accelerated startups that are applying deep learning to their innovations. A variety of companies from around the world submitted their demos, ranging from defense to healthcare applications. Below are highlights from three of the 14 winners who each won a Pascal TITAN X GPU. Eating Smart Just Got Smart Now��
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To make Siri great, Apple employed several artificial intelligence experts three years ago to apply deep learning to their intelligent mobile smart assistant. The team began training a neural net to replace the original Siri. ��We have the biggest and baddest GPU farm cranking all the time,�� says Alex Acero, who heads the speech team. ��The error rate has been cut by a factor of two in all the��
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To meet the demand of the world��s growing population, farmers need to improve the productivity of their herds. Amsterdam-based Connecterra recently raised nearly $2 million to further develop their GPU-accelerated deep learning solution that consists of a wearable device that monitors each animal in the herd and transmits the data to a cloud platform for analysis and prediction of behavioral��
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Joshua Patterson, principal data scientist of Accenture Labs shares how his team is using NVIDIA GPUs and GPU-accelerated libraries to quickly detect security threats by analyzing anomalies in large-scale network graphs. ��When we can move 4 billion node graphs onto a GPU and have the shared memory of all the other GPUs and have that connected processing power�� it��s really going to cut-out months��
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We love seeing all of the GPU-related tweets �C here��s some that we came across this week: https://twitter.com/merlinrebrovic/status/727520873247166466 Do you tweet? Follow us on twitter @GPUComputing and @NVIDIA.
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Adam McLaughlin, PhD student at Georgia Tech shares how he is using NVIDIA Tesla GPUs for his research on Betweenness Centrality �C a graph analytics algorithm that tracks the most important vertices within a network. This can be applied to a broad range of applications, such as finding the head of a crime ring or determining the best location for a store within a city. Using a cluster of GPUs for��
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EASE VR Co-Founders Prithvi Kandanda, CEO and Fred Spencer, CTO share how they are using NVIDIA GPUs and real-time analytics to understand a user��s behavior in virtual environments. Use cases and applications vary across industries and including retail, sports, social, manufacturing, and entertainment. Share your GPU-accelerated science with us at http://nvda.ly/Vpjxr and with the��
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Rob High, IBM Fellow, VP and chief technology officer for Watson, will deliver a keynote at the GPU Technology Conference in Silicon Valley on April 6. Watson was an overnight sensation when it competed on Jeopardy! against two former winners to win $1 million. Watson is among the first of a new generation of cognitive systems with far-reaching applications. It uses artificial intelligence��
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