A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...

Abstract: Generative Artificial Intelligence (AI) and Large Language Models (LLMs), including Visual Language Models (VLMs) and Multimodal LLMs (MLLMs), have shown transformative potential in ...

Conclusions: The ML models based on 2- and 6-month culture conversion could accurately predict treatment outcomes for patients with MDR/RR-TB. ML models, particularly the artificial neural network ...

Abstract: The absence of low-frequency (LF) components in seismic records leads to nonuniqueness in inversion, making the building of a reasonable LF model crucial for achieving high-precision ...

Prediction markets act as a leading indicator for inflation data, a new report finds. Traders are incorporating Polymarket and Kalshi forecasts into their models. Prediction markets' accuracy is ...

Background: Despite substantial progress in biomarker research, Parkinson’s disease (PD) still lacks widely validated, easily deployable diagnostic tests for reliable early-stage detection, ...

Background: Diabetic foot ulcer (DFU) is a common and serious complication in patients with diabetes, which affects the quality of life greatly as well as brings high risk for mortality.

Gary Marcus, professor emeritus at NYU, explains the differences between large language models and "world models" — and why he thinks the latter are key to achieving artificial general intelligence.

When suboptimal results were observed, we generated additional samples of the misclassified ones to give them more attention. We reserved 184 posts for internal testing and 74 for external validation.

If you thought 2025 had a lot of AI-related job displacement, just wait until next year. OpenAI’s latest AI model, GPT-5.2, achieved a new record in GDPval, an evaluation created by the company in ...