Penny Liang: Understanding Large Models for Humanities Students (1.0)

"Understanding Large Models for Humanities Students (1.0)" is written by Penny Liang, offering a simplified perspective to ...
Electronic Design

A Neural-Network-Based Approach to Smarter DPD Engines

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...
Phys.org

Using geometry and physics to explain feature learning in deep neural networks

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...
Óstáilte ar MSN

Supervised Learning Achieved in DNA Winner-Take-All Neural Networks

Can a neural network be constructed entirely from DNA and yet learn in the same way as its silicon-based brethren? Recent breakthroughs indicate that the answer is affirmative, with a molecular ...