Order Selection in Vector Autoregression by Mean Square Information Criterion

A recent study investigates the capability of large language models (LLMs) to detect misinformation in scientific news reporting, particularly in the context of the COVID-19 pandemic. The research introduces a new dataset, SciNews, comprising 2.4k scientific news stories from both trusted and untrusted sources, aiming to address the challenge of misinformation without relying on explicitly labeled claims.

A novel framework for measuring historical structural oppression has been introduced, utilizing Large Language Models (LLMs) to generate context-sensitive scores of lived historical disadvantage across various geopolitical settings. This approach addresses the limitations of traditional measurement methods that often overlook identity-based exclusion and rely heavily on material resources.

A new methodology for epidemic control has been developed, integrating a compartmental epidemic model with reinforcement learning (RL) to optimize intervention strategies during the COVID-19 pandemic in England. The framework utilizes real-time data to balance ICU load against socio-economic costs, employing two RL policies to assess their effectiveness compared to historical government strategies.

Plug and Play, a leading innovation platform and venture capital firm, has officially expanded its operations to New York City, launching initiatives such as the NYC AI Nexus and the International Landing Pad Network (ILPN) in collaboration with the New York City Economic Development Corporation (NYCEDC).