These student-constructed problems foster collaboration, communication, and a sense of ownership over learning.

The tool helps scientists understand how single-letter mutations and distant DNA regions influence gene activity, shaping ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

Deep learning’s (DL’s) promise and appeal is algorithmic amalgamation of all available data to achieve model generalization and prediction of complex systems. Thus, there is a need to design ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. A few public databases provide biological activity data for ...

Abstract: Joint automatic modulation classification (AMC) and direction of arrival (DOA) estimation are critical for signal intelligence, but multi-task learning solutions are often hindered by ...