At the end of 2024, no AI had even managed to place 100th in one of the major competitions. But they have since vaulted up ...
Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...
As AI agents move into production, teams are rethinking memory. Mastra’s open-source observational memory shows how stable ...
A randomized study of 1,298 UK adults found that while large language models perform well on medical tasks alone, they do not ...
Abstract: Low-altitude Internet of Things (LAIOT) integrates sensing, communication, and edge intelligence within aerial networks. As a distributed training paradigm, federated learning (FL) is a ...
The global spread of health misinformation is endangering public health, from false information about vaccinations to the peddling of unproven and potentially dangerous cancer treatments.1,2 The ...
As LLMs and diffusion models power more applications, their safety alignment becomes critical. Our research shows that even minimal downstream fine‑tuning can weaken safeguards, raising a key question ...
The Inference Gateway is a proxy server designed to facilitate access to various language model APIs. It allows users to interact with different language models through a unified interface, ...
Abstract: A deep learning (DL)-based wavenumber domain channel estimation scheme is proposed for holographic multiple-input multiple-output (HMIMO) systems. Firstly, considering the ...
The Bjerksund-Stensland model is a key method for pricing American options. It helps investors determine optimal times for exercising options with dividends considered.
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