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Deep Learning Helps iHeartRadio Personalize Music Recommendations

Research, cuDNN, GeForce, Internet / Communications, Machine Learning & Artificial Intelligence, Media & Entertainment

Nadeem Mohammad, posted Sep 30 2016

The popular digital radio platform iHeartRadio is using deep learning to help uncover what listeners find important when enjoying music. “Humans perceive music through a wide variety of factors, including rhythm, instrumentation, tempo, and vocals,” wrote Tim Schmeier, a data scientist at iHeartRadio in a recent blog. “Some artists have a distinct “sound” while others

Share Your Science: Calculating High-Accuracy Molecular Energies With GPUs

Research, Cluster / Supercomputing, Computational Chemistry, Government / National Labs, Higher Education / Academia, OpenACC, Tesla

Nadeem Mohammad, posted Sep 29 2016

Janus Juul Eriksen, a Ph.D. fellow at Aarhus University in Denmark, shares how he is using OpenACC to optimize and accelerate the quantum chemistry code LSDalton on the Titan Supercomputer at Oak Ridge National Laboratory. “OpenACC makes GPU computing approachable for domain scientists,” said Eriksen. “Initial OpenACC implementation required only minor effort, and more importantly,

Zebra Medical Vision Wins NVIDIA’s “Inception Champion” Award

Events, News, Big Data & Data Mining, cuDNN, Image Recognition, Machine Learning & Artificial Intelligence, Medical and Life Sciences, Tesla

Nadeem Mohammad, posted Sep 28 2016

Big data visualization startup Zebra Medical Vision took home the inaugural award for their significant advancements of Artificial Intelligence and deep learning using NVIDIA GPUs. The world has an aging population and the demand for medical imaging services is quickly outpacing the supply of radiologists. Israel-based Zebra Medical Vision uses big data to deliver large-scale

Google Open-Sources Image Captioning Intelligence

Research, CUDA, Image Recognition, Internet / Communications, Machine Learning & Artificial Intelligence, Media & Entertainment, Tesla

Nadeem Mohammad, posted Sep 27 2016

Google released the latest version of their automatic image captioning model that is more accurate, and is much faster to train compared to the original system. “The TensorFlow implementation released today achieves the same level of accuracy with significantly faster performance: time per training step is just 0.7 seconds in TensorFlow compared to 3 seconds

The Intersection of Large-Scale Graph Analytics and Deep Learning

Features, CUDA, Deep Learning, Graph Analytics

Nadeem Mohammad, posted Sep 26 2016

Suppose you want to find the most influential user of Twitter. You would need to know not only how many followers everyone has, but also who those followers are, who the followers of those followers are, and so on. This is a graph problem. Graphs are a mathematical structure that model relationships between entities, whether

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