The infrastructure segment is estimated to hold the highest share of AI in the aviation market in 2025, primarily due to the massive digital transformation occurring globally at airports and ground ...

MIT developed a deep learning system that lets soft robots follow commands from a single image, enabling accurate, low-cost control in tight and rough spaces.

By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.

Over the past years, computer scientists have introduced increasingly sophisticated generative AI models that can produce ...

The University of Wyoming Science Initiative’s Learning Actively Mentoring Program (LAMP) and the Office of Online and ...

Conventional robots, like those used in industry and hazardous environments, are easy to model and control, but are too rigid ...

In the Teacher Coordinator of Work-Based Learning License program at Bethel University, you’ll gain the skills to help regular and special education high school students engage in a work-based ...

From super-resolution smartphone cameras to vehicles that can anticipate human movement, computer vision is undergoin ...

Muscle fatigue impacts upper extremity function but is often overlooked in biomechanical models. The present work leveraged a transfer learning approach to improve torque predictions during fatiguing ...

Remote sensing image (RSI) captioning is a vision-language multimodal task that aims to describe image content in natural language, facilitating accurate and convenient comprehension of RSIs. Existing ...

A school year’s worth of short, accessible image-driven posts that invite a variety of kinds of writing. 2d ago By The Learning Network ...