If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can ...

1 Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands 2 Department of Chemical Engineering and Chemistry, Eindhoven University of Technology, Eindhoven, ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Discovering faster algorithms for matrix multiplication remains a key pursuit in computer science and numerical linear algebra. Since the pioneering contributions of Strassen and Winograd in the late ...

Alphabet Inc.’s Google DeepMind unit today detailed AlphaEvolve, an artificial intelligence agent that can tackle complex programming and math challenges. The company says that it has used AlphaEvolve ...

Artificial intelligence (AI) continues to shape your daily life, from online shopping to medical research. Yet behind every click or discovery is a hidden world of computing power facing tough ...

Abstract: While the Karatsuba algorithm reduces the complexity of large integer multiplication, the extra additions required minimize its benefits for smaller integers of more commonly-used bitwidths.

The deep neural network models that power today’s most demanding machine-learning applications are pushing the limits of traditional electronic computing hardware, according to scientists working on a ...

Researchers developed a fully integrated photonic processor that can perform all the key computations of a deep neural network on a photonic chip, using light. This advance could improve the speed and ...

The deep neural network models that power today’s most demanding machine-learning applications have grown so large and complex that they are pushing the limits of traditional electronic computing ...