Amplifying words and ideas to separate the ordinary from the extraordinary, making the mundane majestic. Amplifying words and ideas to separate the ordinary from the ...

Rats with a history of cocaine use exhibited prolonged encoding of idiosyncratic task features in orbitofrontal cortex and a reduced ability to compress such features to identify underlying hidden ...

This project is part of Task 7 of the AI & ML Internship. precision recall f1-score support 0 0.95 1.00 0.97 72 1 1.00 0.90 0.95 42 accuracy 0.96 114 macro avg 0.97 0 ...

This project explores the mathematical and practical implementation of Support Vector Machines (SVMs) optimized using Stochastic Gradient Descent (SGD). It includes a theoretical foundation, algorithm ...

A critical advancement in recent times has been exploring reinforcement learning (RL) techniques to improve LLMs beyond traditional supervised fine-tuning methods. RL allows models to learn optimal ...

The task of training deep neural networks, especially those with billions of parameters, is inherently resource-intensive. One persistent issue is the mismatch between computation and communication ...

Although an intracranial aneurysm (IA) is widespread and fatal, few drugs can be used to prevent its rupture. This study explored the molecular mechanism and potential targets of IA rupture through ...

Abstract: SVM may have great difficulty in its realization, even can not work properly because of the tremendous increase of compute time and memory for large-scale training set. A new fast learning ...