TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...

The last few years have seen a rise in novel differentiable graphics layers which can be inserted in neural network architectures. From spatial transformers to differentiable graphics renderers, these ...

This is the code repository for Hands-On Computer Vision with TensorFlow 2 by Benjamin Planche and Eliot Andres, published by Packt. This book is a practical guide to building high performance systems ...

The Department of Computer Engineering at Jamia Millia Islamia (JMI), New Delhi, is set to conduct the third edition of its Short-Term Training Programme (STTP) on ‘Artificial Intelligence (AI) and ...

What will the world look like in 2030? Emerging technologies are set to redefine industries and reshape daily life. Reports from McKinsey Global Institute, World Economic Forum, and Pluralsight ...

Our team of computer vision developers develops custom image and video analysis software for machine vision and computer vision systems. We build computer vision software that can perform multiple ...

TensorFlow has emerged as one of the most popular frameworks for building machine learning models. Whether you are a beginner or an experienced data scientist, understanding how to build AI models ...

Explore the top seven generative AI books essential for 2023. Understand the basics and technical nuances of generative AI. Enhance skills in machine learning with recommended reads. Stay informed ...

Generative AI has thrust AI into the spotlight, with companies large and small around the world wanting to know how to get in. For developers, the AI boom of 2023 poses a golden opportunity to work on ...