This course explores the foundations of wearable technology and how it shapes healthcare, fitness, and everyday ...

A research team at Duke University has developed a new AI framework that can uncover simple, understandable rules that govern ...

The Virtual Brain Inference (VBI) toolkit enables efficient, accurate, and scalable Bayesian inference over whole-brain network models, improving parameter estimation, uncertainty quantification, and ...

Here are 11 free NPTEL data science and analytics courses from leading IITs cover graph theory, Bayesian modelling, Python, R ...

Two important architectures are Artificial Neural Networks and Long Short-Term Memory networks. LSTM networks are especially useful for financial applications because they are designed to work with ...

VIENTIANE – Vietnamese Minister of National Defence General Phan Văn Giang met with his Lao counterpart, Senior Lieutenant General Khamliang Outhakaysone, in Vientiane on Tuesday, during which they ...

Abstract: Rapid advancements of artificial neural networks for computer sciences, inspired by biological neuron interaction mechanisms, may be leveraged in reverse to synthetic biology by providing ...

Abstract: Neural network related machine learning algorithms, inspired by biological neuron interaction mechanisms, are advancing rapidly in the field of computing. This development may be leveraged ...

Modern neural networks are “VIP-class” technologies for one simple reason — they spontaneously entered the digital world and firmly established themselves within it. Today, artificial intelligence is ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...