Iowa Now

UI professors awarded funding to develop theory of diffusion models for generative AI

Two University of Iowa engineers have won funding from the National Science Foundation to develop a theory that would improve ...

AI model predicts neural network degeneration patterns in ALS progression

New research from the University of St Andrews, the University of Copenhagen and Drexel University has developed AI ...

Machine learning can predict patients' responses to antidepressants—while disentangling drug and placebo effects

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
Hospital Healthcare Europe

Machine learning-assisted mapping of VT ablation targets: progress and potential

Dr Michele Orini shares how machine learning can help identify critical VT ablation targets for a safer, data-driven ...

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 ...
Electronic Design

Scaling Industrial AI with Zero-Touch Deployment

Industrial AI deployment traditionally requires onsite ML specialists and custom models per location. Five strategies ...

From OpenAI’s offices to a deal with Eli Lilly — how Chai Discovery became one of the flashiest names in AI drug development

The startup has partnered with Eli Lilly and enjoys the backing of some of Silicon Valley's most influential VCs.
The Eagle-Tribune

Keysight Unveils Machine Learning Toolkit to Accelerate Device Modeling and PDK Development

Keysight Technologies, Inc. (NYSE: KEYS) today announced the release of the new Machine Learning Toolkit in the latest ...

Disinfecting drinking water produces potentially toxic byproducts—new AI model is helping to identify them

Disinfecting drinking water prevents the spread of deadly waterborne diseases by killing infectious agents such as bacteria, ...
IEEE

A Learning Model Predictive Control Framework With Long Short-Term Memory for Energy Management in Fuel Cell Hybrid Electric Buses

Abstract: To leverage the complementary physical characteristics (e.g., dynamic response) of fuel cells (FCs) and supercapacitors (SCs), effective energy management strategies (EMSs) need to be ...