Ask someone who grew up in the 1960s about childhood chores and they will not start with "unloading the dishwasher." Their ...

Here I show you reinforcement learning (RL) examples to train (fine-tune) language models (LM). All these examples are implemented from scratch (manually) in a step-by-step manner (*1), and also shows ...

Abstract: Feature extraction and selection in the presence of nonlinear dependencies among the data is a fundamental challenge in unsupervised learning. We propose using a Gram-Schmidt (GS) type ...

A Tesla robotaxi with safety driver (Tesla calls them a monitor) in the Austin deployment. Posters and reported a few sightings of Tesla robotaxis in Austin, TX operating with nobody in them, neither ...

Abstract: Spectral super-resolution (SSR) has garnered significant attention in recent years. Most existing networks rely on supervised methods, which require paired RGB and hyperspectral images (HSIs ...

In The Physics Teacher, a physics professor-turned-AI-researcher explores the uses of generative AI to teach physical science ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...