A research team led by Professor Kanghyun Nam from the Department of Robotics and Mechanical Engineering at DGIST has ...

A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...

A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their accuracy ...

Knowledge graphs are a powerful tool for bringing together information from biological databases and linking what is already ...

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...

Humans possess a remarkable balance between stability and flexibility, enabling them to quickly establish new plans and ...

NITK develops SVALSA, a machine learning-based landslide warning system for the Western Ghats, enhancing disaster ...

Three PPPL researchers have earned the prestigious Kaul Foundation Prize for their groundbreaking work in fusion stability.

Abstract: Digital in-memory compute (IMC) architectures allow for a balance of the high accuracy and precision necessary for many machine learning applications, with high data reuse and parallelism to ...

Abstract: Optimizing the K value in the K-Nearest Neighbor (KNN) algorithm is a critical step in enhancing model performance, particularly for tasks related to classification and prediction. The Elbow ...

We are living at a time when large language models increasingly make choices once reserved for people. From writing emails to ...