A new research paper titled “Discovering faster matrix multiplication algorithms with reinforcement learning” was published by researchers at DeepMind. “Here we report a deep reinforcement learning ...

The challenge of speeding up AI systems typically means adding more processing elements and pruning the algorithms, but those approaches aren’t the only path forward. Almost all commercial machine ...

Deep-Learning Discrete Calculus (DLDC) is an emerging field that integrates calculus, numerical methods, machine and deep learning algorithms to identify, model, and solve mathematical science systems ...

Calculus is the study of change. Calculus teaching methods, however, have changed little in recent decades. Now, FIU research shows a new model could improve calculus instruction nationwide. A study ...

Math. It’s that five-letter word that still manages to haunt the dreams of both high school sophomores and overworked college students alike. Derivatives, matrices, word problems that somehow involve ...

To evaluate the learning effect of frequency doubling technology (FDT) perimetry using the Humphrey Matrix perimeter in healthy subjects with no perimetric experience. The improvement in perimetric ...

Python is convenient and flexible, yet notably slower than other languages for raw computational speed. The Python ecosystem has compensated with tools that make crunching numbers at scale in Python ...