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

Abstract: This paper presents a model predictive control (MPC) with recursive feasibility guarantees for robots with LiDAR sensory measurements. Control barrier functions (CBF) are incorporated within ...

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 ...

Abstract: Software Defect Prediction improves the software's stability and ensures the testing process is streamlined by pointing out issues in code. Software developers can manage and use their ...

Pupil dilation provides a physiological readout of information gain during the brain's internal process of belief updating in the context of associative learning.

The final, formatted version of the article will be published soon. Objective: To construct and validate a risk prediction model for refeeding syndrome (RFS) in patients with severe acute pancreatitis ...

1 Department of Neurology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China 2 Department of Neurology, West China Hospital, Sichuan University, Chengdu, China Background: ...

Social media posts about unemployment can predict official jobless claims up to two weeks before government data is released, according to a study. Unemployment can be tough, and people often post ...

AI model using deep transfer learning – the most advanced form of machine learning – predicted with 92 % accuracy spoken language outcomes at one-to-three years after cochlear implants (implanted ...