AGI? GPUs? Learn the definitions of the most common AI terms to enter our vocabulary

The rise of AI has given us an entirely new vocabulary. Here's a list of the top AI terms you need to learn, in alphabetical order.
Computer Weekly

Dutch researcher’s AI breakthrough tackles the structured data paradox

The project for which Hulsebos received the grant is called DataLibra, which runs from 2024 to 2029. Over those five years, ...

PolyML Announces Strategic Investment and Collaboration with Martinrea International

PolyML, a developer of advanced machine learning and data analytics technology, today announced a strategic investment by Martinrea International Inc. (TSX:MRE) a diversified and global automotive ...
Scientific Research Publishing

Boosting Algorithm: An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ()

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
Frontiers

Modeling, Machine Learning, Bioinformatics and Multi-omics Data in Soil Science

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...
Open Heart

Machine learning-based cardiovascular risk calculator for non-cardiac surgery

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
EurekAlert!

Seeing thyroid cancer in a new light: when AI meets label-free imaging in the operating room

Researchers at Duke University combined Dynamic Optical Contrast Imaging (DOCI) with AI to improve thyroid cancer detection ...
EurekAlert!

Machine learning revolutionizes design of green solvents for carbon capture: a new era for ionic liquid development

With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green ...
Frontiers

Interpretable machine learning model for predicting covert hepatic encephalopathy in patients with cirrhosis: a multicenter study

Background and aim: Covert hepatic encephalopathy (CHE) is a neurocognitive complication affecting 40.9–50.4% of patients with cirrhosis. It often remains undiagnosed owing to its subclinical nature ...
IEEE

Interpretable Machine Learning Model Based on SOFA Score for ICU Sepsis Mortality Prediction with Multicenter Validation

The Sequential Organ Failure Assessment (SOFA) score is a widely employed scoring system in clinical practice for predicting mortality in patients with sepsis. The integration of machine learning ...
C&EN

Transferable and Transparent Energy Decomposition-Based Machine Learning Models for Computing Accurate Reaction Energetics

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. We present a transferable, interpretable, and modular machine-learning framework that ...
AlphaGalileo

Interpretable Machine Intelligence for Materials Design of Metal Hydrides

Hydrogen fuels represent a clean energy option, but a major hurdle in making its use more mainstream is efficient storage. Hydrogen storage requires either extremely high-pressure tanks or extremely ...