Category Archives: AI / Deep Learning

Developing AI applications start with training deep neural networks with large datasets. GPU-accelerated deep learning frameworks offer flexibility to design and train custom deep neural networks and provide interfaces to commonly-used programming languages such as Python and C/C++. Every major deep learning framework such as TensorFlow, PyTorch and others, are already GPU-accelerated, so data scientists and researchers can get productive in minutes without any GPU programming.

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Teaching Autonomous Machines to See Transparent Objects

To help autonomous machines better sense transparent objects, Google researchers in collaboration with Columbia University, and Synthesis AI, developed ClearGrasp, an algorithm that can accurately estimate the 3D data of clear objects, like a glass container, or plastic utensil, from standard RGB images. … Read more