Abstract: This research converges on the motion planning algorithm of industrial robots based on deep learning. During the research process, a dataset encompassing a vast number of industrial robot ...

Finding the right book can make a big difference, especially when you’re just starting out or trying to get better. We’ve ...

Claude 4.6 Opus just launched — so I put it head-to-head with Gemini 3 Flash in nine tough tests covering math, logic, coding ...

Dan tested Codex 5.3 on Proof, a macOS markdown editor that he's been vibe coding that tracks the origin of every piece of text—whether it was written by a human or generated by AI—and lets users ...

In 1930, a young physicist named Carl D. Anderson was tasked by his mentor with measuring the energies of cosmic ...

Practice smart by starting with easier problems to build confidence, recognizing common coding patterns, and managing your ...

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...

Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory, forward propagation, backpropagation, and coding step by step for a hands ...

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 ...

Created this repository. 🔜 Working on Stage 1: Python & NumPy Refresh. First output: Data exploration with Pandas/Matplotlib. 🔜 Next: Implement Linear Regression with NumPy.