North Penn Now

AI Flashcards: Rethinking What "Active Learning" Actually Means

Every semester, the same ritual repeats itself across campuses worldwide: students armed with highlighters, energy drinks, ...
IEEE

Multi-agent Deep Reinforcement Learning-based Method for Active Distribution Network Optimal Power Flow

Abstract: With the large-scale integration of renewable energy generation and distributed energy resources (DERs), modern power systems face numerous new challenges, such as the intermittency of ...
The Conversation

Jigsaw puzzles help make mathematics learning more active and fun

Francis Duah does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their ...
C&EN

Active Stacking-Deep Learning with Strategic Sampling for Small and Imbalanced Chemical Toxicity Prediction

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Major challenges in toxicity prediction include dealing with imbalanced and limited ...
VentureBeat

New AI training method creates powerful software agents with just 78 examples

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.
The Conversation

Chalk and talk vs. active learning: what’s holding South African teachers back from using proven methods?

Lizélle Pretorius received funding from UNISA as part of a bursary when completing her PhD. She is currently a member of ISATT (International Study Association of Teachers and Teaching) and the Junior ...
Law

Training Alone Is Not Enough: Lessons From 'Recentive' and USPTO AI Examples on Patent Eligible Machine-Learning Claims

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...
Law

Gen AI In e-Discovery: The Now, the Next and the Never

Generative AI is reshaping e-Discovery workflows, with technology-assisted review evolving from using established continuous active learning methods to advanced large language models. As this ...
Frontiers

Weakly supervised multiple-instance active learning for tooth-marked tongue recognition

Introduction: Recognizing a tooth-marked tongue has important clinical diagnostic value in traditional Chinese medicine. Current deep learning methods for tooth mark detection require extensive manual ...
TechRepublic

20+ Machine Learning Methods in Groundbreaking Periodic Table From MIT, Google, Microsoft

20+ Machine Learning Methods in Groundbreaking Periodic Table From MIT, Google, Microsoft Your email has been sent A new “periodic table for machine learning” is reshaping how researchers explore AI, ...
IEEE

WIP: Using the Case Methodology in the Electrical Engineering Classroom - the Example of a Course in Electric Aviation

Abstract: This innovative practice WIP paper describes and exemplifies how the case methodology can be used in the electrical engineering classroom to teach about rapidly advancing technologies. The ...