While there were important chip and AI platform announcements on the first day of CES 2026, all audiences wanted to see more ...

Sure, Nvidia, AMD and Intel all had important chip and AI platform announcements on the first day of CES 2026, but all ...

Tired of out-of-memory errors derailing your data analysis? There's a better way to handle huge arrays in Python.

An in-depth study on the effect of real quantum computer noise is proposed in relation to the execution of the quantum Fourier transform (QFT) applied to electromagnetic simulations and in particular ...

Scientific computing relies heavily on powerful tools like Julia and Python. While Python has long been the preferred choice in High Energy Physics (HEP) data analysis, there’s a growing interest in ...

Abstract: A fast implementation of space time adaptive for 7-elements circular array is discussed in this paper. This implementation is based on the CG (Conjugate Gradient) based MSNWF. We find a ...

The relentless advancement of artificial intelligence (AI) across sectors such as healthcare, the automotive industry, and social media necessitates the development of more efficient hardware ...

Abstract: Residual (2+1)-dimensional convolution neural network (R(2+1)D CNN) has achieved great success in video recognition due to the spatiotemporal convolution structure. However, R(2+1)D CNN ...

Quantum computing promises a new generation of computers capable of solving problems hundreds of millions of times more quickly than today’s fastest supercomputers. This is done by harnessing spooky ...

One way of viewing efforts by storage suppliers to move into data management over the past couple of years is that storage technology is emerging from the backroom and wants to be at the centre of ...