Can AI learn without forgetting? Explore five levels of continual learning and the stability-plasticity tradeoff to plan better AI roadmaps.

Author Amine Nefzi distills proven frameworks that enable organizations and professionals perform better today than ...

The landscape already includes thousands of programs. The opportunity now is to make that content more adaptive, relevant and ...

Insurer chief executive looks to level up firm's strategic plans after a year in post, while committing to deliver 'world ...

Inspired by the goal of continuous improvement through small steps, Working@Duke invited staff and faculty to share how they ...

Here is the AI research roadmap for 2026: how agents that learn, self-correct, and simulate the real world will redefine ...

Abstract: The development of continual learning (CL) methods, which aim to learn new tasks in a sequential manner from the training data acquired continuously, has gained great attention in remote ...

Abstract: The challenging deployment of compute- and memory-intensive methods from Deep Neural Network (DNN)-based Continual Learning (CL), underscores the critical need for a paradigm shift towards ...

What is supervised learning and how does it work? In this video/post, we break down supervised learning with a simple, real-world example to help you understand this key concept in machine learning.