In the news this week: A COVID-19 Botathon challenges RPA developers to create innovative apps, MathWorks expands its AI capabilities, and more.
A genomic sequencing process that once took 30 hours or more can now be completed in a few
AI hardware accelerators have massively parallel architectures that economically deliver the needed compute performance for Continuous Intelligence …
By increasing the utilization rates of GPUs, the cost of building and deploying AI applications will substantially
From better self-driving cars to robots that learn from humans, the value of AI chips like Intel’s Loihi is becoming clear and the competition is getting …
At the core of the BenevolentTech platform is the new NVIDIA DGX-1 AI supercomputer, which leverages the power of GPUs and specialized deep learning software …
An open-source GPU initiative could drastically speed analytics, including analyses using deep learning.
An overview of GPU advances, how some companies are already using the tech, and why GPUs are key to cognitive computing.
Will IBM's freemium model for cognitive computing
To learn to drive like a human, driverless cars will require massive amounts of data, programming, and computing