Google is testing the integration of its recently announced Personal Intelligence feature for NotebookLM. This will help the AI learn from past conversations and what users like. The update adds the ...

Abstract: Multi-objective reinforcement learning (MORL) is a structured approach for optimizing tasks with multiple objectives. However, it often relies on pre-defined reward functions, which can be ...

A growing number of special education teachers say they use artificial intelligence platforms to draft all or part of students’ individualized education programs, even as many districts lack policies ...

RLP uses a single network (shared parameters) to (1) sample a CoT policy 𝜋 𝜃 ( 𝑐 𝑡 ∣ 𝑥 < 𝑡 ) π θ (c t ∣x <t ) and then (2) score the next token 𝑝 𝜃 ( 𝑥 𝑡 ∣ 𝑥 < 𝑡 , 𝑐 𝑡 ) p θ (x t ∣x ...

Artificial intelligence models can secretly transmit dangerous inclinations to one another like a contagion, a recent study found. Experiments showed that an AI model that’s training other models can ...

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...

This article examines the role of artificial intelligence (AI) models in the cognitive and learning activities of subjects in higher education institutions. The authors design this model using ...

I must admit that the term “personal truth” was alien to me when I first heard it a decade or so ago. My education held truth to be objective and independent of personal beliefs. Truth was regarded as ...