Mistral's Small 4 combines reasoning, multimodal analysis and agentic coding in a single open-source model with configurable ...

This illustrates a widespread problem affecting large language models (LLMs): even when an English-language version passes a safety test, it can still hallucinate dangerous misinformation in other ...

In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...

Every time Samantha Grindell Pettyjohn publishes a story, you’ll get an alert straight to your inbox! Enter your email By clicking “Sign up”, you agree to ...

This repository includes the implementation and experimental data of 'DeepCOI: a Large Language Model-Driven Framework for Fast and Accurate Taxonomic Assignment in Animal Metabarcoding'. Please cite ...

Abstract: Under missing-not-at-random (MNAR) sample selection bias, the performance of a prediction model is often degraded. This paper focuses on one classic instance of MNAR sample selection bias ...

For solving assignment problems of staff, equipment and task in engineering support action, a 3-Dimensional assignment model is established, which contains staff skill level, equipment technique ...

We offer these examples so that anyone proposing a PIC can examine the syllabi (as well as Assignment examples), critique and engage with them and analyze how they are targeting the PIC outcomes. They ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

Tesla is recalling approximately 13,000 recent Model 3 and Model Y vehicles built earlier this year due to a battery pack defect that can result in power loss. In August, Tesla started getting reports ...