Additionally, Refs. [26, 27] utilize deep learning techniques to predict coding depth selection, leveraging texture features and pertinent coding information or quantization parameters of CUs.

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine-learning model might think it is a new data point. In computer science ...

A new system that combines Gemini’s coding abilities with an evolutionary approach improves data center scheduling and chip design, and fine-tunes large language models.

Deep learning algorithm used to pinpoint potential disease-causing variants in non-coding regions of the human genome The methods help identify 'footprints' that indicate binding sites and reveal ...

To explore this question, we released debug-gym – an environment that allows code-repairing agents to access tools for active information-seeking behavior. Debug-gym expands an agent’s action and ...

This innovative practice full paper describes how to integrate generative Artificial Intelligence (AI) with Data Structures and Algorithm Analysis (CS2) homework at Oklahoma State University. Data ...

AIM Institute said computer coding-related activities spark creativity and problem-solving skills and will help introduce students to a rewarding tech career ...

When data similarity is low, these small step sizes result in an unacceptably slow convergence speed for federated methods. In this paper, we present a novel and unified framework for analyzing the ...

In today's data-driven world, you may have heard that the role of data science has emerged as one of the most influential and sought-after areas in many industries. However, you may be wondering, what ...