By Mona Eslamijam
Image credit: 123RF
This article is part of Demystifying AI, a series of posts that (try to) disambiguate the jargon and myths surrounding AI.
Recent advances in technology, especially artificial intelligence and automation, coupled with growing social inequality and a shrinking middle class, have given prominence to Universal Basic Income.
The Internet of Things (IoT) is one of the most exciting phenomena of the tech industry these days. But there seems to be a lot of confusion surrounding it as well. Some think about IoT...
Large language models (LLM) require huge memory and computational resources. LLM compression techniques make models more compact and executable on memory-constrained devices.
Deep reinforcement learning is one of the most interesting branches of AI, responsible for achievements such as mastering complex games, self-driving cars, and robotics.
Support vector machine (SVM) is a type of machine learning algorithm that can be used for classification and regression tasks.
Signal, Telegram, and other secure messaging apps and services used domain fronting to circumvent government censorship. But what is it really?
In the past, unfulfilled promises in artificial intelligence caused a decline in interest and funding, also known as AI winter. The question is, will it happen again?
Membership inference attacks can detect examples used to train machine learning models even after those examples have been discarded.
In a new NeurIPS paper, Geoffrey Hinton introduced the “forward-forward algorithm,” a new learning algorithm for artificial neural networks inspired by the brain.