I studied physics in college, and I’m always surprised how fundamental some of the concepts are. Take waves for example. You really wouldn’t expect the same underlying concept to be at work on surface ...

The successful application of large-scale transformer models in Natural Language Processing (NLP) is often hindered by the substantial computational cost and data requirements of full fine-tuning.

Transformer models pre-trained on self-supervised tasks and fine-tuned on downstream objectives have achieved remarkable results across a variety of domains. However, fine-tuning these models for ...

Summary: Researchers discovered how the brain develops reliable visual processing once the eyes open. Early on, visual inputs and modular brain responses are mismatched, creating inconsistent patterns ...

This year I am helping us laugh and possibly learn by making one of my humorous books available to download for free in this year’s first six columns. The fourth book is Logical Thoughts at 4:00 am.

Abstract: Aiming at the robust force tracking challenge for robots in continuous contact with uncertain environments, a novel adaptive variable impedance control policy based on deep reinforcement ...

If your jaw dropped as you watched the latest AI-generated video, your bank balance was saved from criminals by a fraud detection system, or your day was made a little easier because you were able to ...

Abstract: High precision motion control is one of the core techniques for high-end manufacturing industries, which usually requires two major procedures, i.e., model-based design and data-based tuning ...

In the second of a two-parter, Myke King shows how to apply feedforward control FIGURE 1 shows our example fired heater. The intent is to add feedforward control to the existing feedback scheme. This ...