Abstract: Knowledge tracing aims to predict students’ future question-answering performance based on their historical question-answering records, but the current mainstream knowledge tracing model ...
This valuable study links psychological theories of chunking with a physiological implementation based on short-term synaptic plasticity and synaptic augmentation. The theoretical derivation for ...
Abstract: Dedicated neural-network inference-processors improve latency and power of the computing devices. They use custom memory hierarchies that take into account the flow of operators present in ...
Legendary actor Dharmendra passed away on November 24 in Mumbai but his funeral took place quickly and not many people were ...
A lightweight framework that gives language models (LMs) a persistent, evolving memory during inference time. Dynamic Cheatsheet (DC) endows black-box language models with the ability to store and ...
The relentless advancement of artificial intelligence (AI) across sectors such as healthcare, the automotive industry, and social media necessitates the development of more efficient hardware ...
The super-exponential growth of data harvested from human input and physical measurements is exceeding our ability to build and power infrastructure to communicate, store and analyze, making our ...