For every motor skill you've ever learned, whether it's walking or watchmaking, there is a small ensemble of neurons in your ...

The multitude of Python tools makes for many choices and many potential pitfalls. Streamline your AI projects by ...

Global Data & AI Virtual Tech Conference (GDAI 2025), the biggest virtual tech conference organized by DataGlobal Hub, was concluded with resounding success, uniting participants from various ...

MKDPINN is a novel approach for Remaining Useful Life (RUL) prediction, combining meta-learning, knowledge discovery, and Physics-Informed Neural Networks (PINNs). This repository contains the code ...

Founded by former Nutanix CTO Binny Gill, Kognitos is rethinking enterprise automation with a neurosymbolic AI platform that lets employees create workflows in plain English.

In 2025, the integration of AI and Python will become increasingly tight. OpenAI's free inference model, o3 - mini, has excelled in areas such as mathematical code generation and physical simulation.

Generalize Hopfield-like neural networks using a deformed maximum entropy principle. Exhibit explosive transitions, multi-stability, and memory capacity enhancements. Are analytically tractable via ...

Due to their synaptic-like characteristics and memory properties, memristors are often used in neuromorphic circuits, particularly neural network circuits. However, most of the existing neural network ...

Alexander Cobb watched a talk with the OpenAI CEO before he was famous. How seriously the audience took AI's potential ...

Learn how to build an AI tool step by step, from data and models to deployment, with tips for success and promotion strategies.

How is AI different from a neural net? How can a machine learn? What is AGI? And will DeepSeek really change the game? Read on to find out.

Thanks to the biomimetic properties of synaptic plasticity, memristors are often utilized to mimic biological neuronal synapses. This article presents a new memristor synapse coupling (MSC) approach ...