Machine learning models—especially large-scale ones like GPT, BERT, or DALL·E—are trained using enormous volumes of data.

Up until this point, the machine learning algorithms have pretty much remained exactly the same. But once a single computer is no longer enough to handle the data volume, the only option is to ...

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

Like with movies, I don’t have one favorite machine learning (ML) algorithm, but a few favorites, each for its own reason. Here are some of my top few algorithms and models: Most elegant: The ...

Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases. Topics Spotlight: AI-ready data centers ...

Rooted in mathematics, the novel machine learning algorithm is called CEBRA (pronounced zebra), and learns the hidden structure in the neural code. What information the CEBRA learns from the raw ...

New machine learning algorithm promises advances in computing Digital twin models may enhance future autonomous systems Date: May 9, 2024 Source: Ohio State University ...

Differential privacy is a method for protecting people’s privacy when their data is included in large datasets. Because differential privacy limits how much the machine learning model can depend ...