Deep Learning with Yacine on MSN

Gradient descent from scratch in Python – step by step tutorial

Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and ...

Microsoft reshuffles teams to bolster GitHub as AI coding and agent wars heat up

GitHub, the dominant software development platforms, is responding to the rise of AI coding services and AI agents ...
Deep Learning with Yacine on MSN

Build k-nearest neighbors from scratch in Python – step by step tutorial

Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, ...
GitHub

WaLSAtools – Wave Analysis Tools

WaLSAtools is an open-source library for analysing a wide variety of wave phenomena in time series data – including 1D signals, images, and multi-dimensional datasets. It provides tools to extract ...
IEEE

Aligning Crowd-Sourced Human Feedback for Reinforcement Learning on Code Generation by Large Language Models

Abstract: This paper studies how AI-assisted programming and large language models (LLM) improve software developers' ability via AI tools (LLM agents) like Github Copilot and Amazon CodeWhisperer, ...
PC World

I started ‘vibe coding’ my own apps with AI and I’m utterly loving it

On February 2nd, 2025, computer scientist and OpenAI co-founder Andrej Karpathy made a flippant tweet that launched a new phrase into the internet’s collective consciousness. He posted that he’d ...
IEEE

A 65 nm General-Purpose Compute-in-Memory Processor Supporting Both General Programming and Deep Learning Tasks

Abstract: This work presents a special unified compute-in-memory (CIM) processor supporting both general-purpose computing and deep neural network (DNN) operations, referred to as the general-purpose ...