Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they start with zero prior knowledge. In the study, participants using ...

On platforms like Chub AI, language models are trained to depict sexualized violence against children and involve users in ...

This article was co-authored with Emma Myer, a student at Washington and Lee University who studies Cognitive/Behavioral Science and Strategic Communication. In today’s digital age, social media has ...

Abstract: This paper proposes a multi-label text classification algorithm based on causal relationships to address the current challenge of accurately capturing label correlations in multi-label text ...

Italy's antitrust authority said on Wednesday it had opened investigations into the Italian ​arms of Spanish food delivery service Glovo, ‌controlled by Germany's Delivery Hero , and British meal ...

Background The standard of care for neovascular age-related macular degeneration (nAMD) is repeated intravitreal injection ...

Typoglycemia’ is often shared online as a quirky insight into how our brains work. But this viral claim is only part of the ...

Text clustering is an unsupervised learning technique that organises documents into coherent groups based on shared linguistic and semantic characteristics. The effectiveness of clustering depends ...

Abstract: This study presents a comprehensive benchmarking of 33 machine learning (ML) algorithms for bearing fault classification using vibration data, with a focus on real-world deployment in ...

It's been only a few months since OpenAI released its last big improvement to AI image generations in ChatGPT and through its application programming interface (API) — namely, a new image generation ...

Speaking at WSJ Opinion Live in Washington, D.C., WSJ Editorial Page Editor Paul Gigot and SandboxAQ CEO Jack Hidary discuss Large Quantitative Models (LQMs) and their role in AI applications, the ...