Machine learning workflow enables faster, more reliable organic crystal structure prediction

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
IEEE

Neuromorphic Event Camera-Based Object Recognition and Grasping Position Detection Using a Transfer Learning-Enhanced Multi-Task Model

Abstract: Object recognition and grasping position detection are critical tasks in robotic manipulation, particularly when operating in dynamic and unstructured environments. This paper presents the ...
Tech Xplore

Microgrippers successfully developed to handle sub-millimeter-sized, complex objects

Miniaturized electronics and intricate objects require a certain finesse. Researchers have looked into the development of a ...
National Academies

Making Machine Learning Safer in High-Stakes Settings

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, ...
IEEE

Transformer Based Deep Learning Model For Object Detection Using Meta Learning

Abstract: Object detection is the identification and pinpointing of the exact location of objects that belong to particular categories inside an image. However, insufficient annotated data in ...
The Debrief

Breakthrough Experiments Show How to Detect Hidden Objects Like Submarines and Buried Treasure Using Physics

Scientists from the Institut Langevin in Paris and TU Wien in Vienna have developed a new technique for detecting hidden objects, such as buried treasure or submarines, using complex acoustical ...
GitHub

Pushkkaarr/Weapon-Detection-Using-Fast-R-CNN

Loads the trained Faster R-CNN model. Reads the input video frame by frame. For frames with weapons detected above a confidence threshold, saves the frame to a folder. Names the frames with the ...