If you think scrolling the internet all day is making you dumber, just imagine what it’s doing to large language models that consume a near-endless stream of absolute trash crawled from the web in the ...

DeepSeek has released an open‑source, 3‑billion‑parameter vision‑language model (VLM) for optical character recognition and document parsing, positioning the system squarely at the junction of Optical ...

BEIJING -- AI foundation models can advance genetic research to uncover more disease-causing mutations in clinical settings. In an advancement for genomic research, Chinese biotech firm BGI-Research ...

In a post on Instagram back in January, Emman said 'I came into 2024 unsure if I even wanted to live' TIKTOK star and model Emman Atienza died by suicide at her home in Los Angeles, officials have ...

Easter eggs in cars are nothing new. On a 1973 Ford Mustang, for example, there's a tiny indicator light when you turn on the high beams that shows the silhouette of a mustang, as noted on the Hagerty ...

Abstract: Differential privacy (DP) is introduced into many fields of AI to preserve privacy. However, introducing DP into AI models is extremely error-prone. To verify whether DP AI models can ...

Abstract: This paper proposes a novel model-and-data-driven adaptive frequency control (MDAFC) for microgrid (MG) systems. The proposed MDAFC includes two control loops, i.e., an adaptive model ...

Faye was Headline Money Consumer Money Journalist of 2023 and a Wincott Award finalist in 2025. She's been investigating scams for nearly a decade. Cash Isa rates have fallen from their recent highs, ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

What problem does Odyssey target? Protein design couples amino acid sequence with 3D structure and with functional context. Many prior models adopt self attention, which mixes information across the ...

This project focuses on emotion recognition using electroencephalography (EEG) signals. The main objective is to classify emotional states based on EEG recordings using a range of deep learning models ...