Articles for author: ikayaniaamirshahzad@gmail.com

Reddit – Dive into anything

We value your privacy Reddit and its partners use cookies and similar technologies to provide you with a better experience. By accepting all cookies, you agree to our use of cookies to deliver and maintain our services and site, improve the quality of Reddit, personalize Reddit content and advertising, and measure the effectiveness of advertising. By rejecting non-essential cookies, Reddit may still use certain cookies to ensure the proper functionality of our platform. For more information, please see our Cookie Notice and our Privacy Policy. Source link

Reddit – Dive into anything

We value your privacy Reddit and its partners use cookies and similar technologies to provide you with a better experience. By accepting all cookies, you agree to our use of cookies to deliver and maintain our services and site, improve the quality of Reddit, personalize Reddit content and advertising, and measure the effectiveness of advertising. By rejecting non-essential cookies, Reddit may still use certain cookies to ensure the proper functionality of our platform. For more information, please see our Cookie Notice and our Privacy Policy. Source link

How to Build a MERN Stack To-Do App

This guide will walk you through building a full-stack MERN To-Do application. It covers setting up the environment, writing code to demonstrate core CRUD (Create, Read, Update, Delete) operations, and connecting the application to MongoDB Atlas, a free cloud database. Before diving into this article, I recommend that you have a foundational understanding of HTML, CSS, and JavaScript, as well as some knowledge of frontend and backend frameworks and libraries. My primary focus will be on functionality, allowing you to customize the design as you see fit. The commands I’ll use here are tailored for Windows, so if you’re using

Eerily realistic AI voice demo sparks amazement and discomfort online

An example argument with Sesame’s CSM created by Gavin Purcell. An example argument with Sesame’s CSM created by Gavin Purcell. Gavin Purcell, co-host of the AI for Humans podcast, posted an example video on Reddit where the human pretends to be an embezzler and argues with a boss. It’s so dynamic that it’s difficult to tell who the human is and which one is the AI model. Judging by our own demo, it’s entirely capable of what you see in the video. “Near-human quality” Under the hood, Sesame’s CSM achieves its realism by using two AI models working together (a

Understanding Convolutions on Graphs

Contents This article is one of two Distill publications about graph neural networks. Take a look at A Gentle Introduction to Graph Neural Networks for a companion view on many things graph and neural network related. Many systems and interactions – social networks, molecules, organizations, citations, physical models, transactions – can be represented quite naturally as graphs. How can we reason about and make predictions within these systems? One idea is to look at tools that have worked well in other domains: neural networks have shown immense predictive power in a variety of learning tasks. However, neural networks have been

Automating Artificial Life Discovery: The Power of Foundation Models

The recent Nobel Prize for groundbreaking advancements in protein discovery underscores the transformative potential of foundation models (FMs) in exploring vast combinatorial spaces. These models are poised to revolutionize numerous scientific disciplines, yet the field of Artificial Life (ALife) has been slow to adopt them. This gap presents a unique opportunity to overcome the traditional reliance on manual design and trial-and-error methods for uncovering lifelike simulation configurations. In a new paper Automating the Search for Artificial Life with Foundation Models, a research team from MIT, Sakana AI, OpenAI, The Swiss AI Lab IDSIA and Independent introduces Automated Search for Artificial

Mastering spaCy | Data | Paperback

Déborah is a data science consultant and writer. With a BSc in Computer Science from UFPE, one of Brazil’s top computer science programs, she brings a diversified skill set refined through hands-on experience with various technologies. Déborah has thrived in different data science projects, including roles such as lead data scientist and technical contributor for respected publications. Her ability to translate complex concepts into simple language, coupled with her quick learning and broad vision, make her an effective educator. Actively engaged in community initiatives, she works to ensure equitable access to knowledge, reflecting her belief that technology is not a

Reddit – Dive into anything

We value your privacy Reddit and its partners use cookies and similar technologies to provide you with a better experience. By accepting all cookies, you agree to our use of cookies to deliver and maintain our services and site, improve the quality of Reddit, personalize Reddit content and advertising, and measure the effectiveness of advertising. By rejecting non-essential cookies, Reddit may still use certain cookies to ensure the proper functionality of our platform. For more information, please see our Cookie Notice and our Privacy Policy. Source link

Reddit – Dive into anything

We value your privacy Reddit and its partners use cookies and similar technologies to provide you with a better experience. By accepting all cookies, you agree to our use of cookies to deliver and maintain our services and site, improve the quality of Reddit, personalize Reddit content and advertising, and measure the effectiveness of advertising. By rejecting non-essential cookies, Reddit may still use certain cookies to ensure the proper functionality of our platform. For more information, please see our Cookie Notice and our Privacy Policy. Source link

Introduction to NumPy and Pandas

In Python programming, NumPy and Pandas stand out as two of the most powerful libraries for numerical computing and data manipulation. NumPy: The Foundation of Numerical Computing NumPy (Numerical Python) provides support for multi-dimensional arrays and a wide range of mathematical functions, making it essential for scientific computing. NumPy is the most foundational package for numerical computing in Python. One of the reasons why NumPy is so important for numerical computations is that it is designed for efficiency with large arrays of data. The reasons for this include: It stores data internally in a continuous block of memory, independent of