Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they start with zero prior knowledge. In the study, participants using ...
This article was co-authored with Emma Myer, a student at Washington and Lee University who studies Cognitive/Behavioral Science and Strategic Communication. In today’s digital age, social media has ...
Abstract: Text summarization is crucial in various sectors, such as engineering and healthcare, because it enhances efficiency in terms of time and costs. Current extractive text summarization methods ...
The RL-FRB/US framework combines the Federal Reserve Board's macroeconomic model (FRB/US) with reinforcement learning techniques to optimize economic policy decisions. This integration, detailed in ...
Developing autonomous LLM agents capable of making a series of intelligent decisioiins to solve complex, real-world tasks is a fast-evolving frontier. Merely relying on human demonstration for ...
Abstract: As blockchain technology is adopted in innovative fields like the Internet of Things, software-defined IoT, QoS-aware software-defined IoT, software-defined Internet of Multimedia Things, ...
Speaking at WSJ Opinion Live in Washington, D.C., WSJ Editorial Page Editor Paul Gigot and SandboxAQ CEO Jack Hidary discuss Large Quantitative Models (LQMs) and their role in AI applications, the ...
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