Abstract: Lifelong learning (LLL) defines a training paradigm that aims to continuously acquire and capture new concepts from a sequence of tasks without forgetting. Recently, dynamic expansion models ...

Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...

Large language models (LLMs) can suggest hypotheses, write code and draft papers, and AI agents are automating parts of the research process. Although this can accelerate science, it also makes it ...

There's been a seismic shift in science, with scientists developing new AI tools and applying AI to just about any question that can be asked. Researchers are now putting actual seismic waves to work, ...

A marriage of formal methods and LLMs seeks to harness the strengths of both.

Abstract: Over recent decades, machine learning has significantly advanced network communication, enabling improved decision-making, user behavior analysis, and fault detection. Simultaneously, the ...