Logo: 
Areas Served: 
I spent $15 in DALL·E 2 credits creating this AI image, and here’s what I learned
Author(s): Joy Zhang Yes, that’s a llama dunking a basketball. A summary of the process, limitations, and lessons learned while experimenting with the closed Beta version of DALL·E 2. Llama playing basketball, generated using DALL·E 2 by author. I’ve been dying to …
Learning to build machine learning (ML) and AI models by playing games
Playing games to learn machine learning (ML) and artificial intelligence (AI) Author(s): Matthew Phillips Self-paced learning online can be a drag. Especially so when the subject matter is as vast and complex as AI. It’s easy to get stuck in tutorial hell — watching …
The Why, When, and How of Using Python Multi-threading and Multi-Processing
Author(s): Thilina Rajapakse This guide aims to explain why multi-threading and multi-processing are needed in Python, when to use one over the other, and how to use them in your programs. As an AI researcher, I use them extensively when preparing data …
Overview of [email protected]’21
Author(s): Nantia Makrynioti The Workshop on Databases and AI (DBAI) was successfully held last December in conjunction with the virtual NeurIPS’22 conference. The purpose of DBAI is to aspire a conversation on the power of the relational data structure and relational database …
The Principles of Data-Centric AI Development
Author(s): Team Snorkel The Future of Data-Centric AI Talk Series Background Alex Ratner is CEO and co-founder of Snorkel AI and an Assistant Professor of Computer Science at the University of Washington. He recently joined the Future of Data-Centric AI event, where he presented …
AI: The Secret to a More Diverse Hiring Process
Author(s): Saray I. Let’s face it: Hiring is a long and arduous process. You need to conduct background checks, come up with a shortlist of candidates, conduct interviews, and ultimately decide which person would be perfect for the job you have open. …
Will The Demand For Graphic Designers Diminish In The Near Future Because Of AI?
Author(s): Ali Al Khaulani Nowadays, artificial intelligence is often used to solve problems in almost every aspect of human life, from household chores, transportation technology to advertising. Our behavior, rituals, attitudes, and environments are about to be radically transformed in the coming …
Neural Style Transfer Using a Simple Python Library
Author(s): Divy Shah A guide to neural style transfer using the neural-style-transfer python library In this tutorial, we will learn how to use the neural-style-transfer library to compose images in the style of other images using just a few lines of code. Neural …
Weak Supervision in Biomedicine
ScienceTalks with Jason Fries Author(s): Team Snorkel In this episode of Science Talks, Snorkel AI’s Braden Hancock chats with Jason Fries – a research scientist at Stanford University’s Biomedical Informatics Research lab and Snorkel Research, and one of the first contributors to the Snorkel open-source library. We discuss …
Natural Language in Search Engine Optimization (SEO) — How, What, When, And Why
Author(s): Buse Yaren Tekin Search-engine-optimization (SEO) screenshot of one of our clients at Best Marketing | All images are from the author(s) unless stated otherwise. Search engine optimization (SEO) is a beautiful combination of mathematics and semantics. How does natural language influence it? …
There’s Lots in a Name (Whereas There Shouldn’t Be)
Author(s): Nihar B. Shah, Jingyan Wang (Image based on a folklore meme) It is common in some academic fields such as theoretical computer science to order the authors of a paper according to the alphabetical order of their last names. Alphabetical ordering …
Perceptron Is Not SGD: A Better Interpretation Through Pseudogradients
Author(s): Francesco Orabona, Ph.D. Actual conversation with my wife (Image from xkcd.com) There is a popular interpretation of the Perceptron as a stochastic (sub)gradient descent procedure. I even found slides online with this idea. The thought of so many young minds twisted by these …
AWS re:Invent 2020 Machine Learning Keynote Recap & Highlights
Sharing Thoughts and Points to Ponder Author(s): Juv Chan Welcome to the first-ever Machine Learning Keynote at AWS re:Invent. It is a 2-hour virtual session delivered by Dr. Swami Sivasubramanian, VP of Amazon Machine Learning, on the latest developments, launches, and demos in AWS …
What is Machine Learning (ML)?
Learn what machine learning is, how it works and its importance in 5 minutes. Introduction to machine learning in simple terms… Intro to machine learning in simple terms, part I …
Artificial Intelligence (AI): Salaries Heading Skyward
While the average salary for a Software Engineer is around $100,000 to $150,000, to make the big bucks you want to be an AI or Machine Learning (Specialist/Scientist/Engineer.) Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Popular posts
Updates
Recent Posts
