Can we ever really trust algorithms to make decisions for us? Previous research has proved these programs can reinforce society’s harmful biases, but the problems go beyond that. A new study ...

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

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, if they see X Y and Z happening, they know some sort of action is soon to follow because the algorithms are programmed a certain way, so they try to beat the market by reacting in ...

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 ...

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 ...

How social media algorithms warp our perceptions A key question is what can be done to make algorithms foster accurate human social learning rather than exploit social learning biases.

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 ...

Researchers from Caltech developed an algorithm for autonomous robots to assist with planning and decision-making. This system helps robots determine the best course of action while navigating the ...

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 ...

For example, the algorithm may learn that people with a history of hypertension are more likely to experience a cardiac event than those with normal blood pressure. However, this training process gets ...