AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a ...

Businesses are generating data at a faster pace than ever: 90% of the world’s data was generated within the last two years. The increased data volume is rapidly outpacing our ability to consume it.

This article was co-written with my colleague and fellow YEC member, Nirman Dave, CEO at Obviously AI. Back in March of this year, MIT Sloan Management Review made a sobering discovery: The majority ...

Researchers have explained how large language models like GPT-3 are able to learn new tasks without updating their parameters, despite not being trained to perform those tasks. They found that these ...

Posts from this author will be added to your daily email digest and your homepage feed. is a senior reporter who has covered AI, robotics, and more for eight years at The Verge. A lot of companies are ...

Xiangrui Meng of Databricks, a committer on Apache Spark, talks about how to make machine learning easy and scalable with Spark MLlib. Xiangrui has been actively involved in the development of Spark ...

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

In Part 1 of a series, Brien Posey goes hands-on to explain this AWS service that allows you to use machine learning to make predictions based on your data, but without having to do math or write code ...

At the core of reinforcement learning is the concept that the optimal behavior or action is reinforced by a positive reward. Similar to toddlers learning how to walk who adjust actions based on the ...