Gradient Boosting, Decision Trees and XGBoost with CUDA

Features, CUDA, Gradient Boosting, Machine Learning, XGBoost

Nadeem Mohammad, posted Sep 11 2017

Gradient boosting is a powerful machine learning algorithm used to achieve state-of-the-art accuracy on a variety of tasks such as regression, classification and ranking.

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Detecting Concussions with a Smartphone and Deep Learning

Features, Research, cuDNN, GeForce, Healthcare & Life Sciences, Higher Education/Academia, Image Recognition, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Sep 11 2017

Researchers from University of Washington developed a smartphone app that can detect concussions and other brain injuries — whether on the sidelines of a sports game or at an accident site.

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Classifying Tattoos with Neural Networks

Features, Research, Cloud, cuDNN, DIGITS, Image Recognition, Machine Learning & Artificial Intelligence, Media & Entertainment, Tesla

Nadeem Mohammad, posted Aug 29 2017

With nearly 1.5 billion monthly visitors and 346,000 pictures of tattoos, Tattoodo is taking advantage of deep learning to help categorize the growing number of uploaded images.

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Microsoft Sets New Speech Recognition Record

Features, Research, Cloud, cuDNN, Higher Education/Academia, Machine Learning & Artificial Intelligence, Speech & Audio Processing, Tesla

Nadeem Mohammad, posted Aug 21 2017

Researchers at Microsoft announced they reached a 5.1% error rate which is a new milestone in reaching human parity for recognizing words in a conversation as well as professional human transcribers.

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Scaling Keras Model Training to Multiple GPUs

Features, Deep Learning, Keras, MxNet

Nadeem Mohammad, posted Aug 16 2017

Keras is a powerful deep learning meta-framework which sits on top of existing frameworks such as TensorFlow and Theano. Keras is highly productive for developers; it often requires 50% less code to define a model than native APIs of deep learning

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Artificial Intelligence Helps Identify Plant Species for Science

Features, cuDNN, GeForce, Higher Education/Academia, Image Recognition, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Aug 15 2017

Researchers from the Costa Rica Institute of Technology and French Agricultural Research Centre for International Development developed a deep learning algorithm to automatically identify plant specimens that have been pressed, dried and mounted on h

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Deep Learning Hyperparameter Optimization with Competing Objectives

Features, Deep Learning

Nadeem Mohammad, posted Aug 03 2017

In this post we’ll show how to use SigOpt’s Bayesian optimization platform to jointly optimize competing objectives in deep learning pipelines on NVIDIA GPUs more than ten times faster than traditional approaches like random search.

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Building Cross-Platform CUDA Applications with CMake

Features, CMake, Compilation, CUDA

Nadeem Mohammad, posted Aug 01 2017

Cross-platform software development poses a number of challenges to your application’s build process. How do you target multiple platforms without maintaining multiple platform-specific build scripts, projects, or makefiles?

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Profiling the AI Performance Boost in OptiX 5

Features, News, Computer Graphics & Visualization, Games, Image Recognition, Machine Learning & Artificial Intelligence, Tesla

Nadeem Mohammad, posted Jul 31 2017

By Vincent Brisebois and Ankit Patel, NVIDIA OptiX 5.0 introduces a new post-processing feature to denoise images.

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Top AI Researchers Receive First NVIDIA Tesla V100s

Events, Features, Research, CUDA, cuDNN, Higher Education/Academia, Machine Learning & Artificial Intelligence, TensorRT, Tesla

Nadeem Mohammad, posted Jul 24 2017

At this week’s Computer Vision and Pattern Recognition conference in Honolulu, NVIDIA CEO Jensen Huang surprised a group of elite deep learning researchers at CVPR to unveil the NVIDIA Tesla V100, our latest GPU, based on our Volta architecture, by p

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