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 ...

Google’s Tensor reboot of the Pixel lineup has never been about adding more power, but rather about creating an experience tailored to what Google wants your phone to be. With the Pixel 10, Tensor G5 ...

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 ...

Geekbench evaluates a device’s performance through a series of tests designed around practical scenarios. The tests include image processing, compression (text & image), speech recognition, and PDF ...

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 ...

For the past three years Nvidia has been making graphics chips that feature extra cores, beyond the normal ones used for shaders. Known as tensor cores, these mysterious units can be found in ...