A research team led by Rumi Chunara—an NYU associate professor with appointments in both the Tandon School of Engineering and ...

We use geospatial machine learning to map and monitor renewable energy development at scale. Explore the world of geospatial machine learning with our tutorial, ‘Let’s map Africa! Intro to Geospatial ...

A machine learning analysis of gene activity in spinal cord samples from people with amyotrophic lateral sclerosis (ALS) revealed new genes associated with the neurodegenerative disorder, a study ...

This process ensures that the new pathways become permanent and robust, enabling long-term learning and adaptability. The Power of Cognitive Maps When you explore a new city, your brain initially ...

coli, a simple model organism, to map how metabolites—small molecules ... starting point for drug development." Using AI machine learning powered by the Department of Energy's Frontier, one ...

Operator is similar to Anthropic's computer use API in that it combines the sort of browser automation enabled by software frameworks like Playwright and Selenium with text-based machine learning ...

We focus specifically on the depth maps in 3D video content and introduce an extreme forest model from machine learning to optimize intra-frame coding. This paper proposes a novel CU partitioning ...

The biz described the blunder as a "minor issue" to the The Register, and denied the machine-learning system had leaked GDPR-sensitive data as some had feared. "After discovering a minor issue ...

Abstract: Feature learning of airborne laser scanning (ALS) point clouds is challenged by both the limited annotated samples and imbalanced class distribution. An intuitive way involves pretraining on ...

These outputs were used to decide which targets to include. Figure 1. Machine learning approach for patient subpopulation and gene set discovery. Using two ALS datasets, a tailored ML approach ...