A first-of-its-kind national trial shows that public Montessori preschool students enter kindergarten with stronger reading, ...
That joyfulness can extend even to the more mundane lessons, like learning new vocabulary, which historically has involved ...
These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...
Utilize AI to analyze application runtime data (e.g., rendering time, communication latency), obtain optimization suggestions (such as reducing component re-rendering, reusing hardware connections), ...
Over the past decades, roboticists have introduced a wide range of systems that can effectively tackle some real-world problems. Most of these robots, however, often perform poorly on tasks that they ...
Abstract: This paper addresses the dynamic task assignment problem for multiple uncrewed aerial vehicles (UAVs) operating under weak communication. Existing learning-based methods face two primary ...
A Reinforcement Learning-Based Task Mapping Method to Improve the Reliability of Clustered Manycores
Abstract: The increasing scale of manycore systems poses significant challenges in managing reliability while meeting performance demands. Simultaneously, these systems become more susceptible to ...
The efficacy differences between LLM-based and rule-based chatbots have not been systematically evaluated, with few studies directly comparing the two, and existing meta-analyses have notable ...
Telling ChatGPT to fact-check a random answer before solving an actual problem makes it think harder, and get the answer right more often – even if the earlier ‘random’ answer has nothing to do with ...
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