Unfinished tasks occupy your brain differently than completed ones. Discover why "done" matters more than "perfect"—and how to engineer closure.

Researchers have developed a new way to compress the memory used by AI models to increase their accuracy in complex tasks or help save significant amounts of energy.

Even consciousness could reveal its secrets someday with this realistic simulation, researchers hope. It will not only ...

Abstract: Computing-in-memory (CIM) has been proven to achieve high energy efficiency and significant acceleration effects on neural networks with high computational parallelism. Based on typical ...

Abstract: This paper introduces a novel Large Language Model (LLM)-based system designed to enhance learning effect through Socratic inquiry, thereby fostering deep understanding and longterm ...