The US and China Are Collaborating More Closely on AI Than You Think

WIRED analyzed more than 5,000 papers from NeurIPS using OpenAI’s Codex to understand the areas where the US and China actually work together on AI research.
IEEE

Convolutional Neural Network-Based PUSCH DMRS Pattern Optimization for 5G New Radio

Abstract: A convolutional neural network (CNN)-based architecture for the optimization of demodulation reference signal (DMRS) patterns is proposed for 5G new radio systems. The proposed architecture ...
Analytics Insight

Best Deep Learning Books to Read in 2026

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

AI sheds light on hard-to-study ocean currents

The Indonesian Throughflow carries both warm water and fresh water from the Pacific into the Indian Ocean. As the only ...
IEEE

An Analysis of Training Convolution Neural Networks for Image Classification Using Distributed Deep Learning

Abstract: Deep learning algorithms have seen a growth in recent times due to their capability of analyzing hidden patterns in large datasets efficiently. However, an increase in the complexity of ...
Analytics Insight

Best AI Skills to Learn for Future Jobs January 2026

Overview:  AI is transforming every industry, making skills like machine learning, data science, and automation essential for ...
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Build a deep neural network from scratch in Python

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 ...