Polymarket Agents is a modern, open-source framework for building sophisticated AI trading agents on Polymarket. Leverage state-of-the-art LLMs, RAG (Retrieval-Augmented Generation), and ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

This important study demonstrates the significance of incorporating biological constraints in training neural networks to develop models that make accurate predictions under novel conditions. By ...

Palantir (NASDAQ: PLTR) remains one of the most closely followed artificial intelligence stocks heading into 2026 as investor focus turns to the company’s commercial expansion and rising enterprise AI ...

Researchers at Chicago-based Northwestern University and Ann & Robert H. Lurie Children’s Hospital of Chicago developed AI models that identify children with high risk of developing sepsis within 48 ...

Abstract: To solve the problem of low prediction accuracy of SVM algorithm, this paper proposes a prediction model research method based on PSO-SVM kernel function hybrid algorithm, designs global and ...

1 Department of Traditional Chinese Medicine, Capital Center for Children's Health, Capital Medical University, Capital Institute of Pediatrics, Beijing, China 2 Department of Neonatology, Capital ...

Variables used to predict disease progression in the SABRE model included total airway volume, small airway volume, terminal airway volume, and primary airway volume. A deep learning-based model, the ...

A powerful and practical AI/ML-driven Stock Market Prediction project built using Python. Designed for real-world usability, this project predicts next-day stock movement, performs full pipeline ...