CVPR is one of the main conferences which provide researchers and engineers with the opportunity to meet and discuss their amazing work. This year, with CVPR and other conferences going virtual, we take the opportunity to recognize our academic and Inception industry partners’ work at CVPR 2020 through this post. Here’s one paper from UC Berkeley researchers: While machine learning at the edge…
]]>By Sandra Skaff, Global Head of Academic Research Partnerships at NVIDIA AI and deep learning have taken over today’s headlines with aspirations to solve some of humanity’s most complex and challenging problems. Scientists are looking to scale compute resources to reduce the time it takes to complete the training of neural networks and produce results in real time. Taking a Multi-GPU approach…
]]>By Sandra Skaff CVPR has become the go to conference for every academic and industry computer vision researcher. The number of paper submissions as well as the number of attendees has been growing at a rate of at least ~20% per year during the last couple of years. Many of our NVAIL partners are at CVPR this week presenting their top-tier research. We feature here a glimpse of the research of…
]]>By Sandra Skaff This week top Robotics researchers have gathered in Montreal, Canada to present their cutting edge research. Our NVAIL partners were among the researchers presenting this research. We highlight here the work of MIT, NYU, and UPenn, which rely on NVIDIA platforms for real-time inference. The work in the paper was inspired by observing three main properties in human…
]]>By Sandra Skaff This week top AI researchers are gathered in New Orleans, LA, to present their cutting edge research. Our NVAIL partners are among the researchers presenting this work. We highlight here the work of three of these partners, which has been developed with robotics as a target application. Mila researchers are presenting BabyAI, which is a platform for learning to…
]]>By Sandra Skaff NVIDIA is partnering with three leading universities — Georgia Tech, the University of California, Davis, and Texas A&M — as part of our NVIDIA AI Labs program, to build the future of graph analytics on GPUs. NVIDIA’s work with these three new NVAIL partners aims to ultimately create a one-stop shop for customers to take advantage of accelerated graph analytics…
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