Mapping cell development with mathematics-informed machine learning

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...
Fierce Biotech

Lilly, Nvidia tag on partnership with new AI co-innovation lab, $1B investment

Eli Lilly and Nvidia, two primary drivers of the recent stock market rally, are deepening their alliance to connect silicon ...
Beebom

What is the Difference Between Deep Learning and Machine Learning

Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...
CU Boulder News & Events

Machine Learning Updates - MS-CS, MS-AI on Coursera

We are excited to inform you that the current Machine Learning: Theory and Hands-On Practice with Python Specialization (taught by Professor Geena Kim) is being retired and will be replaced with a new ...
VentureBeat

Google’s ‘Nested Learning’ paradigm could solve AI's memory and continual learning problem

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...
IEEE

PID: A Parameter-Efficient Isolation Domain-Incremental Learning Framework for Signal Modulation Classification

Abstract: Deep neural networks have achieved promising progress in signal modulation classification (SMC), playing an essential role in a variety of applications such as cognitive radio networks, ...
C&EN

Machine learning helps density functional theory model molecules accurately

A rotating cylinder with its side cut away to expose the core, showing patches of purple, blue, green, yellow, and orange that are dense in the middle and more diffuse toward the edges. This rotating ...
Frontiers

Research on predicting flow stress of 7075 aluminum alloy using machine learning models

Faculty of Materials Science and Engineering, Kunming University of Science and Technology, Kunming, China Introduction: Accurate prediction of flow stress during the hot deformation of 7075 aluminum ...
Neuroscience News

Humans and AI Share Similar Learning Strategies

Summary: Researchers found that humans and AI share a similar interplay between two learning systems: flexible, quick in-context learning and gradual incremental learning. Experiments showed that AI ...
Brown University

Researchers uncover similarities between human and AI learning

PROVIDENCE, R.I. [Brown University] — New research found similarities in how humans and artificial intelligence integrate two types of learning, offering new insights about how people learn as well as ...
C&EN

A Machine Learning Model for the Proteome-Wide Prediction of Lipid-Interacting Proteins

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. You are free to share(copy and redistribute) this ...