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 ...

Dao is part of a central group that provides data and machine-learning capabilities to the company. He ensures the data team has the right tools to complete their work. He also aims to make it easy ...

Learn how NASA Pathways interns contribute to engineering projects, gain hands-on experience, and receive mentorship while preparing for careers in space exploration at Kennedy Space Center.

The U.S. Department of Energy now has two major supercomputing systems aimed at accelerating fusion energy research through ...

An AI agent reads its own source code, forms a hypothesis for improvement (such as changing a learning rate or an architecture depth), modifies the code, runs the experiment, and evaluates the results ...

Abstract: Detecting dim point-source targets in overhead persistent infrared (OPIR) imagery with high probability requires emerging machine-learning (ML) methods. These complex algorithms and ...

Abstract: Integrated STEM projects and experiments promote interdisciplinary learning, enhance critical thinking, and prepare students for real-world problem-solving by bridging science, technology, ...