Top 22 Resources You Need To Run Successful Projects Using CUDA

CUDA is a parallel computing architecture created by NVIDIA and is specifically designed to be used with NVIDIA GPUs. It is utilised in different sectors of science and research applications in medical imaging, financial modelling and energy exploration. With the…

Meetup: NVIDIA GPU For End-To-End Machine Learning Acceleration Workshop

GPU computing has become one of the most important elements of AI infrastructure today. Owing to inherent architectural advantages, GPUs are well-suited to accelerate Deep Learning tasks. NVIDIA provides a scalable compute infrastructure, ranging from a single GPU in workstations…

Understanding Why MATLAB Is Best Suited For Deep Learning

Deep learning is a technique that is obtaining a foothold beyond multiple disciplines – enabling self-driving cars, predictive fault monitoring of jet engines, and time series forecasting in the economic markets and other use cases. In MATLAB it takes less…

Julia Users Can Now Rejoice, Google Cloud Has Powerful Capabilities To Support The Language

  The new technological era is one where task-specific hardware and software are on the rise. This year at Google I/O 2018, Google launched a new generation of Tensor Processing Unit (TPU), already in use to turbocharge a set of…

Which Is The Best Laptop For Machine Learning and Artificial Intelligence?

With the rise in analysis platforms across every sector, leading big tech companies and startups are integrating Machine Learning and Deep Learning in their existing system. This advancement has led to a major revolution in the hardware required for these…

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