The curious minds at ColdFusion explore how neural networks are shaping today’s AI applications. After massive raid at ...

Current large AI models face the same issue—they can also make errors when answering questions, especially when dealing with ...

Current large AI models face the same issue—they can make errors when responding, especially when dealing with complex math ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

Redcore Investments COO, Ihor Denysov, elaborates on just why those that master AI and big data will spearhead the industry ...

Understand the merits of large language models vs. small language models, and why knowledge graphs are the missing piece in ...

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 ...

Large language models (LLMs) have shown remarkable generalization capability with exceptional performance in various language modeling tasks. However, they still exhibit inherent limitations in ...

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 ...

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

This video is an overall package to understand Dropout in Neural Network and then implement it in Python from scratch. Dropout in Neural Network is a regularization technique in Deep Learning to ...

Abstract: Due to the numerous advantages of dual-band infrared radiation (DBIR) attitude measurement (AM) technology, it has garnered significant attention from industry and academia. However, ...