Generally speaking, a useful benchmark should be both sufficiently difficult and closely aligned with reality: the problems ...

One particularly striking story arrived earlier this year: a paper that described how an LLM had passed the Turing Test, an ...

Although various methods have been proposed in academia to reduce model hallucinations, there is currently no remedy that can ...

OpenAI's latest research paper diagnoses exactly why ChatGPT and other large language models can make things up—known in the ...

Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management.

For pregnant women, ultrasounds are an informative (and sometimes necessary) procedure. They typically produce ...

A Nigerian and PhD student in Applied Mathematics at Mississippi State University, Deborah Okoli, has built an easy-to-understand machine learning system for online markets. In an interview with The ...

The ADB–Cornell study finds that machine learning poverty maps often misfire, overestimating welfare in poor, rural, ...

EPFL researchers have developed Systema, a new tool to evaluate how well AI models work when predicting the effects of genetic perturbations. Subscribe to our newsletter for the latest sci-tech news ...

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...