The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

AI is ultimately a story about selfhood—and the answer will not be found in the machine, but in what mindful awareness allows ...

Modern neuroscience understands the brain as a set of specialized systems. Aspects of brain function such as attention, ...

Like all AI models based on the Transformer architecture, the large language models (LLMs) that underpin today’s coding ...

Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding behind training a neural network, helping you truly understand how deep ...

This screenshot shows a simple PRINT command executed in the BASIC interpreter, demonstrating text rendering and keyboard input handling in the emulated environment. ️ Demo 1: Sprite & RAM Tester A ...

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 ...

CATS-Net (Concept Abstraction and Task-Solving Network) is a comprehensive framework for understanding and implementing concept abstraction in neural networks. The system combines supervised learning ...

Abstract: Earthquake early warning can effectively reduce the potential earthquake damage and is extremely strict to the sensor location and identification time. Distributed fiber acoustic sensing ...

Abstract: Fourier ptychography (FP) is a new computational imaging technique with the advantage of being able to provide super-resolution imaging. FP has a very complex degradation process. Merging ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive technology and inclusive education. In an attempt to close that gap, I developed a ...