Chainalysis launches Workflows, a no-code tool automating blockchain data analytics without requiring SQL or Python expertise.

This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.

Overview: Python and SQL form the core data science foundation, enabling fast analysis, smooth cloud integration, and ...

I tried four vibe-coding tools, including Cursor and Replit, with no coding background. Here's what worked (and what didn't).

Abstract: The main focus of this manuscript is on the impact of running Python codes in two different environments. Firstly, the Python Integrated Development and Learning Environment (IDLE), and ...

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

For software developers, choosing which technologies and skills to master next has never been more difficult. Experts offer ...

Create a no-code AI researcher with two research modes and verifiable links, so you get quick answers and deeper findings ...

Learn how to implement the Nadam optimizer from scratch in Python. This tutorial walks you through the math behind Nadam, explains how it builds on Adam with Nesterov momentum, and shows you how to ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Abstract: The code summarization task aims to automatically generate natural language descriptions for code snippets. Recently, pre-trained code language models (CLMs) have demonstrated outstanding ...