Artificial intelligence/Machine Learning-driven modeling reduces time-to-market for faster Design Technology Co-Optimization ...

Understand and implement the RMSProp optimization algorithm in Python. Essential for training deep neural networks ...

A new orchestration approach, called Orchestral, is betting that enterprises and researchers want a more integrated way to ...

The capacity for artificial intelligence (AI) to formulate, evolve, and test altered thought patterns under dynamic conditions indicates advanced cognition that is crucial for scientific discovery.

Thinking Machines Lab has moved its Tinker training API into general availability and added 3 major capabilities, support for the Kimi K2 Thinking reasoning model, OpenAI compatible sampling, and ...

Efficient battery management becomes increasingly important as demand for portable power continues to rise, especially since balanced cells help ensure safety, high performance, and a longer battery ...

Machine learning models are increasingly applied across scientific disciplines, yet their effectiveness often hinges on heuristic decisions such as data transformations, training strategies, and model ...

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 ...