Swinburne Launches New GPU-Accelerated Supercomputer

Accelerated Computing, Astronomy & Astrophysics, Cluster/Supercomputing, Higher Education/Academia, Machine Learning & Artificial Intelligence, Tesla

Nadeem Mohammad, posted Mar 07 2018

Swinburne University of Technology officially launched one of the most powerful supercomputers in Australia to help unlock the secrets of the Universe.

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On Demand Webinar: Deep Learning Demystified

Artificial Intelligence, Features, Automotive, Financial Services, Healthcare & Life Sciences, Machine Learning & Artificial Intelligence, Retail/Etail, webinar

Nadeem Mohammad, posted Mar 06 2018

Artificial Intelligence (AI) is solving problems that seemed well beyond our reach just a few years back.

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AI Identifies Legal Risks in NDAs

Artificial Intelligence, Cloud, cuDNN, Machine Learning & Artificial Intelligence, Tesla

Nadeem Mohammad, posted Mar 02 2018

LawGeex, an Israel-based startup focused on automating contract reviews, released a study showing its deep learning software outperforms lawyers at identifying legal risks in nondisclosure agreement contracts.

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NVIDIA’s 2017 Open-Source Deep Learning Frameworks Contributions

Artificial Intelligence, Cloud, CUDA, cuDNN, Development Tools & Libraries, Machine Learning & Artificial Intelligence, TensorRT, Tesla

Nadeem Mohammad, posted Mar 01 2018

Many may not know, NVIDIA is a significant contributor to the open-source deep learning community. How significant? Let’s reflect and explore the highlights and volume of activity from last year.

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Interpreting Privacy Policies with Artificial Intelligence

Artificial Intelligence, cuDNN, GeForce, Higher Education/Academia, Machine Learning & Artificial Intelligence, Media & Entertainment

Nadeem Mohammad, posted Feb 23 2018

A team of researchers from EPFL in Switzerland, University of Wisconsin and University of Michigan developed a deep learning-based program that can automatically read and make sense of any online service’s privacy policy.

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AI Predicts Future Lane Changes of Other Drivers

Artificial Intelligence, Autonomous Vehicles, Automotive, cuDNN, Higher Education/Academia, Image Recognition, Machine Learning & Artificial Intelligence, Tesla

Nadeem Mohammad, posted Feb 21 2018

In work sponsored by Toyota, University of Michigan researchers developed a deep learning framework trained on GPUs to anticipate maneuvers of other highway vehicles up to three seconds into the future, such as performing left or right lane changes o

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Using Deep Learning to Help Solve the SpaceNet Road Detection Challenge

Artificial Intelligence, Image Recognition, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Feb 20 2018

In the third SpaceNet challenge, competitors were tasked with finding automated methods for extracting map-ready road networks from high-resolution satellite imagery.

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Webinar: GPU-Accelerated Analysis of DNA Sequencing Data

Accelerated Computing, Artificial Intelligence, Cloud, Healthcare & Life Sciences, Machine Learning & Artificial Intelligence, Tesla, Workstation

Nadeem Mohammad, posted Feb 17 2018

Personalizing treatments based on patients’ genetic variation will revolutionize how medicine cures diseases; but time to analysis has become a major bottleneck.

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White Paper: NVIDIA DGX-1 with Tesla V100

Artificial Intelligence, Machine Learning & Artificial Intelligence, Tesla

Nadeem Mohammad, posted Feb 16 2018

A new technical white paper provides an in-depth look at the hardware and software technologies inside the NVIDIA DGX-1 — the fastest platform for deep learning training. The demand for deep learning performance is rapidly growing.

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Apple Watch Detects Signs of Diabetes

Artificial Intelligence, cuDNN, Healthcare & Life Sciences, Machine Learning & Artificial Intelligence, Tesla

Nadeem Mohammad, posted Feb 08 2018

Researchers at digital health startup Cardiogram and UCSF (University of California San Francisco) developed a deep learning algorithm that can diagnose diabetes with an 85% accuracy by using the smart watch’s built-in heart rate sensor.

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