A research team led by NIMS has, for the first time, produced nanoscale images of two key features in an ultra-thin material: ...

Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy ...

Using a machine learning technique that compares molecular fingerprints left behind by living organisms, researchers have ...

An intelligent AFM processing framework integrates optimized scanning trajectories, distortion correction, and deep learning segmentation to improve imaging stability, accuracy, and automation. By ...

In the rapidly evolving landscape of data science and machine learning, ensuring accessibility of data is critical for obtaining meaningful insights. Continuous data plays a pivotal role in various ...

Identify needs, which may include the learning context and audience. How do you get there? Start with writing goals and learning objectives, then focus on assessments, learning activities, and ...

Automatic for the People: What Has Machine Learning Analysis of Positron Emission Tomography Left for the Physician? The following represents disclosure information provided by authors of this ...

For decades, scientists have known that only a few groups of birds—songbirds, parrots, and hummingbirds—can learn to produce ...

The last ten years of SaaS growth were dominated by acquisition tactics, viral loops, and product led growth playbooks. The ...

With the global population aging, and rising concerns about mental health, loneliness, and social isolation, understanding and enhancing later-life satisfaction has become increasingly crucial for ...