Predictive maintenance of equipment is a prime example of AI application in the manufacturing industry.Sensors are attached ...

Despite these issues, experts say the results are jaw-dropping. The papers span mathematics, theoretical computer science, physics, and more. Some of the discoveries could have easily netted a human ...

There are two types of improvements in computing that are fundamentally different in nature. One is "constant-factor improvement," and the other is "order-of-magnitude improvement." Constant-factor ...

During cardiac arrhythmia, the heart frequency is an important physiological parameter that can be identified by analyzing electrocardiogram (ECG) signals. However, the accuracy of the frequency ...

In this tutorial, I am showing how to build a 1024 point FFT on the AMD AIE-ML using the DSP Library which is available as Open Source The Fast Fourier Transform (FFT) is a fundamental building block ...

As we listen to a piece of music, our ears perform a calculation. The high-pitched flutter of the flute, the middle tones of the violin, and the low hum of the double bass fill the air with pressure ...

Being done in PipelineC it's possible to automatically pipeline both the math of some RISC-V instructions as well as the arbitrary pure functions that describe the custom compute pipelines attached to ...

Fourier transform is a key method for analyzing signals in both time and frequency domains. The FFT is a computational algorithm that efficiently computes the discrete Fourier transform (DFT) and its ...

Researchers have been exploring the theoretical potential of quantum computers for decades. Only in recent years, however, have real systems begun to achieve an accuracy and scale that makes their ...