A 2019 study found that an algorithm widely used in the U.S. for making decisions about enrollment in health care programs assigned white patients higher scores than Black patients with the same ...

There are three key reasons why predictive algorithms can make big mistakes. 1. The Wrong Data An algorithm can only make accurate predictions if you train it using the right type of data.

For example, the kidney allocation system is an algorithm-based protocol used to prioritize patients for kidney transplants on the basis of the amount of time they have been on the national ...

Helping robots make good decisions in real time Caltech's algorithm called Spectral Expansion Tree Search helps autonomous robotic systems make optimal choices on the move Date: December 5, 2024 ...

For example, users can feed their locally stored data into a large language model (LLM), such as Llama. The so-called SIFT algorithm (Selecting Informative data for Fine-Tuning), developed by ETH ...

Making algorithms completely transparent could create other problems, however. In 2006, for example, Netflix offered $1 million to the developers who submitted the best possible recommendation ...

But with the recent rise of generative AI tools like Chat GPT, which run on large language models (LLM), and the image-making system DALL-E 2, companies have taken to training their algorithms on ...

Adam Aleksic talks about his new book 'Algospeak,' which details how algorithms are changing our vocabulary; plus, we check in with Hennessy + Ingalls bookstore.