Among the many burning questions about Netflix ‘s potential acquisition of Warner Bros. is: What would happen to HBO Max?
OpenAI and Google DeepMind demonstrated that their foundation models could outperform human coders — and win — showing that large language models (LLMs) can solve complex, previously unsolved ...
Mixed Integer Linear Programming (MILP) is essential for modeling complex decision-making problems but faces challenges in computational tractability and requires expert formulation. Current deep ...
I would like to reproduce this plot: It shows two curves of enzymes, one following classical Michaelis-menten-kinetics without cooperativity and one enzyme which also includes cooperativity and ...
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 ...
A Northwestern competitive programming team won seventh place in the 2024 International Collegiate Programming Contest (ICPC) Mid-Central USA Regional Contest, held last month at the University of ...
Abstract: The linear programming (LP) approach is, together with value iteration and policy iteration, one of the three fundamental methods to solve optimal control problems in a dynamic programming ...
A recent study conducted by computer scientists at Purdue University has highlighted concerns regarding the accuracy of responses provided by OpenAI's chatbot ChatGPT to computer programming questions ...
If you’re turning to ChatGPT to help you with computer programming, you may want to be extra careful to double-check its answers. A new study has found that 52 percent of the popular chatbot’s answers ...
Artificial intelligence chatbots like OpenAI’s ChatGPT are being sold as revolutionary tools that can help workers become more efficient at their jobs, perhaps replacing those people entirely in the ...
In recent years, computer programmers have flocked to chatbots like OpenAI’s ChatGPT to help them code, dealing a blow to places like Stack Overflow, which had to lay off nearly 30 percent of its ...
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