Applying artificial intelligence techniques to cardiac ultrasound data may make it easier to identify patients with advanced heart failure, a new study has found. The study—led by investigators at ...

Third-party AI and sensor integrations are currently reshaping the technical landscape of marine-electronics systems. The ...

New research reveals that "foundation models" trained on vast, general time-series data may be able to forecast river flows accurately, even in regions with little or no local hydrological records.

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant risk of progressive renal impairment in a subset of patients. Early ...

Overview: Artificial intelligence offers faster growth and higher salaries, while data science offers stable, broad career ...

Machine learning algorithms help computers analyse large datasets and make accurate predictions automatically.Classic models like regression, dec ...

Latent spaces are abstract, high-dimensional areas within neural networks where patterns and relationships are encoded, but not readily interpretable by humans. Although latent space studies are still ...

Balancing nitrogen use is critical for maximizing crop yield while minimizing environmental and economic costs. A new approach integrates drone-based multispectral imaging with machine learning to ...

The Men’s Final Four Analytics Challenge enables Hoosier undergraduate and graduate students to apply data science and ...

Former U.S. Census Bureau and Pew Research Center data scientist and survey expert joins public opinion research ...

Rachael Hinkle’s work with machine learning intersects political science, legal training and computational methods.