Developers are increasingly relying on large language models (LLMs) for everyday computing tasks such as fixing bugs, ...
David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...
Economic Viability Evaluated under METI's "FY2023 Supplementary Funds for The Global South Future-Oriented Co-Creation Program" --- An analysis was conducted, in collaboration with Hygenco-MHI's partn ...
As initiatives for decarbonization take place, there are growing expectations for green hydrogen and ammonia produced using renewable energy, but reducing the costs of full-scale implementation has ...
Abstract: This study proposes LiP-LLM: integrating linear programming and dependency graph with large language models (LLMs) for multi-robot task planning. For multi-robots to efficiently perform ...
Abstract: This article deals with one of the types of “Satellite Range Scheduling” problems arising in Earth Observation Satellite operations, Antenna-Satellite Scheduling. Given a set of satellites, ...
PyAutoFit is a Python based probabilistic programming language for model fitting and Bayesian inference of large datasets. The basic PyAutoFit API allows us a user to quickly compose a probabilistic ...
This course provides a comprehensive introduction to computer vision. Major topics include image processing, detection and recognition, geometry-based and physics-based vision and video analysis.
This year's AmPav lineup will feature the first ever IndieWire Future of Filmmaking summit at Cannes, which features a keynote address from Richard Linklater. Taking place at the Roger Ebert ...
I am a PhD student at Carnegie Mellon University supervised by Taylor Berg-Kirkpatrick and Graham Neubig. I also collaborate with Kevin Gimpel at the Toyota Technological Institute at the University ...
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