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 ...

Google’s in-house Tensor chips from the beginning have faced criticism for not offering solid performance. While they are excellent for everyday tasks, the performance gap is pretty significant when ...

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 ...

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 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, ...