Benchmarking large language models presents some unusual challenges. For one, the main purpose of many LLMs is to provide compelling text that’s indistinguishable from human writing. And success in ...

Despite the many advantages of using deep neural networks over shallow networks in various machine learning tasks, their effectiveness is compromised in a federated learning setting due to large ...

In this article, the reinforcement learning (RL)-based finite-time adaptive optimal resilient control issue is studied for uncertain large-scale nonlinear systems under unknown sensor false data ...

DATA POEM, an AI-first company that pioneered the field of Horizontal Causal Intelligence, today announced the official launch of POEM365. This revolutionary product marks the debut of the world's ...

"I am PodGPT, a large language model developed by the Kolachalama Lab in Boston, " "specializing in science, technology, engineering, mathematics, and medicine " "(STEMM)-related research and ...

Background Predicting the final infarct after an extended time window mechanical thrombectomy (MT) is beneficial for treatment planning in acute ischemic stroke (AIS). By introducing guidance from ...

Social network X has changed its developer agreement to prevent third parties from using the platform’s content to train large language models. In an update on Wednesday, the company added a ...

Patient characteristics and model fairness across subgroups. Credit: JAMA Network Open (2025). DOI: 10.1001/jamanetworkopen.2025.13685 ...