AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...

According to God of Prompt on Twitter, a recent visual demonstration by @deliprao illustrates how Reinforcement Learning (RL) operates, highlighting the core cycle of agent-environment interaction, ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

Abstract: Future wireless communications are expected to support massive connectivity in various applications, such as massive Machine-Type Communications (mMTC) and different types of IoT networks, ...

Abstract: With increasing cyber threats, secure authentication of users in machine learning systems has never been more necessary. In this paper, we develop the CipherKeyX Algorithm: A novel ...

As the battle to train artificial intelligence models becomes more intense and Reddit’s rich content library becomes more valuable, the social media giant has taken steps to block the Internet Archive ...

Reddit is blocking the Internet Archive’s Wayback Machine from indexing most of its site, after discovering that AI companies were scraping its data from the digital time capsule. The move comes as ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine-learning model might think it is a new data point. In computer science ...

Patent applications on artificial intelligence and machine learning have soared in recent years, yet legal guidance on the patentability of AI and machine learning algorithms remains scarce. The US ...

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...

When it comes to teaching math, a debate has persisted for decades: How, and to what degree, should algorithms be a focus of learning math? The step-by-step procedures are among the most debated ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes means ...