Throughout 2022, we'e shared 52 weekly newsletters on the latest breakthroughs on AI with you.
To make it easy for you to catch up, our team has prepared a list of the AI top-liked articles from our newsletter.
There is no doubt that 2022 will be remembered as a year for advances in the field of AI. The most read AI articles of 2022 covered various topics including future predictions, ethical concerns, and practical applications. From top AI books to read, to a Google DeepMind researcher co-authoring a paper on the elimination of humanity by AI, to a discussion on how Wayfair and Spotify use machine learning to engage customers and a record-breaking jumping robot that can leap a 10-story building. The articles also touched on the history of AI algorithms, the importance of understanding bias and fairness trade-offs in AI, and the use of AI in government surveillance.
Ready to dive in? Click on the links below to begin reading
In the News
7 Must-Read Books About Artificial Intelligence
Forbes suggests seven books on AI that provide valuable insights and understanding of the field.
Sponsor
Get Your Guide to Operational AI
What does it take to become an AI-forward organization? Read the Guide to Operational AI and learn how to adopt an Operational AI mindset, including: A roadmap for Operational AI, the people & technology you need, and a reference architecture for AI.
In The News
Andrew Ng predicts the next 10 years in AI
AI pioneer Andrew Ng shares his predictions for the next decade in AI.
Stanford Annual report on AI : Artificial intelligence is everywhere now
Popular Science reports on the annual Stanford Artificial Intelligence Index report.
Meta's A.I. exodus: Top talent quits as the lab tries to keep pace with rivals
Meta's AI lab loses key personnel, raising questions about the company's future.
Applied use cases
Can Computers Learn Common Sense?
Can computers truly learn common sense? The New Yorker looks into the possibility.
How Wayfair and Spotify use machine learning to engage customers
MIT Sloan Management Review examines how companies like Wayfair and Spotify use machine learning to improve customer engagement.
You can practice for a job interview with Google AI
Google's AI job interview process includes a warm-up test to evaluate candidates.
Ethics
Why it’s so damn hard to make AI fair and unbiased
Vox examines the tradeoffs between AI bias and fairness.
How Democracies Spy on Their Citizens
The New Yorker investigates how democracies use AI to spy on citizens.
Meta's new AI chatbot cannot stop bashing Facebook
Introducing Blenderbot, a meta-chatbot for Facebook.
Robotics
Towards Robot-Assisted Therapy for Children With Autism
A recent study in Frontiers in Robotics discusses ways to improve robot grasping.
Record-Breaking Jumping Robot Can Leap a 10-Story Building
Scientific American reports on a robot that can jump over a 10-story building.
Research
Transformer models: an introduction and catalog — 2022 Edition
An article that provides an overview of Transformer models, a type of neural network architecture used in natural language processing tasks, and a catalogue of the most popular Transformer models available in 2022.
Creating Confidence Intervals for Machine Learning Classifiers
Exploring the topic of confidence intervals for machine learning, this article by Sebastian Raschka delves into the importance and applications of this statistical concept.
The History of Machine Learning Algorithms
Tracing the evolution of machine learning algorithms, "The History of Machine Learning Algorithms" delves into the development of key techniques and technologies that have shaped the field.
Sponsor
Get Your Guide to Operational AI
What does it take to become an AI-forward organization? Read the Guide to Operational AI and learn how to adopt an Operational AI mindset, including: A roadmap for Operational AI, the people & technology you need, and a reference architecture for AI.