Abstract: Machine learning is widely used to solve networking challenges, ranging from traffic classification and anomaly detection to network configuration. However, machine learning also requires ...

Deep Learning Crash Course: A Hands-On, Project-Based Introduction to Artificial Intelligence is written by Giovanni Volpe, Benjamin Midtvedt, Jesús Pineda, Henrik Klein Moberg, Harshith Bachimanchi, ...

Welcome! This repository encapsulates all materials that I created for the course ISE-364 / 464, titled "Introduction to Machine Learning". This includes all original lecture slides as well as ...

Get up to speed on the weird world of AI in just six editions of our new free newsletter. It feels as though AI is moving a million miles a minute. Every week, it seems, there are product launches, ...

The Harvard Math Department will pilot a new introductory course aimed at rectifying a lack of foundational algebra skills among students, according to Harvard’s Director of Introductory Math Brendan ...

Abstract: The Tsetlin machine is a new universal artificial intelligence (AI) method that learns simple logical rules to understand complex things, similar to how an infant uses logic to learn about ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

Artificial intelligence (AI) is transforming our world, but within this broad domain, two distinct technologies often confuse people: machine learning (ML) and generative AI. While both are ...

This article introduces a special issue on the interaction between the rapidly expanding field of machine learning and ongoing research in physics. The first half of the papers in this issue deals ...