I had great fun writing neural network software in the 90s, and I have been anxious to try creating some using TensorFlow. Google’s machine intelligence framework is the new hotness right now. And ...
Dr. James McCaffrey of Microsoft Research presents the fundamental concepts of tensors necessary to establish a solid foundation for learning how to create PyTorch neural networks, based on his ...
Google’s in-house Tensor chips have steadily improved over the years to become a reliable daily driver with solid battery efficiency. Still, performance has often been a sticking point. While previous ...
Google picked a mix of in-house designed and off-the-shelf IP for the upcoming Tensor G5. Many parts of the chip are built by other companies, including Arm, Imagination Technologies, VeriSillicon, ...
Google’s previous “Tensor based Pixel programs have not met its financial targets.” Google Tensor G6 is primarily focused on reducing the price of the chip, as well as making it run cooler and more ...
Tensors play a pivotal role in AI and deep learning systems, and share a common heritage with both physics and advanced mathematics. All of which makes it extremely difficult to lock down a definitive ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results