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 ...

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 ...

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 ...

Abstract: Several techniques have been proposed to (partially) automate code review. Early support consisted in recommending the most suited reviewer for a given change or in prioritizing the review ...

So, you want to learn Python online and you’re wondering where to start? Reddit can be a surprisingly good place to get pointers, even if it’s not a formal course itself. People share what works for ...

DR Tulu-8B is the first open Deep Research (DR) model trained for long-form DR tasks. DR Tulu-8B matches OpenAI DR on long-form DR benchmarks. agent/: Agent library (dr-agent-lib) with MCP-based tool ...

In a first-of-its-kind study, scientists found that bumblebees can tell the difference between short and long light flashes, much like recognizing Morse code. The insects learned which signal led to a ...

This repository contains the implementation, benchmarks, and supporting tools for my MSc dissertation project: Self-learning Variational Autoencoder for EEG Artifact Removal (Key code only). Benchmark ...