Scholars team up to discuss the intersection between art, biology and fieldwork in crafting solutions to contemporary issues ...
Master problem-solving with a simple, powerful 3-step approach that works across all languages and challenges. Whitefish crash has Michigan fishers on the brink: ‘It makes you want to cry’ Donald ...
Like the rest of its Big Tech cadre, Google has spent lavishly on developing generative AI models. Google’s AI can clean up your text messages and summarize the web, but the company is constantly ...
We consider the optimal scheduling of hydropower plants in a hydrothermal interconnected system. This problem, of outmost importance for large-scale power systems with a high proportion of hydraulic ...
Reinforcement learning (RL) for large language models (LLMs) has traditionally relied on outcome-based rewards, which provide feedback only on the final output. This sparsity of reward makes it ...
This repository implements dynamic programming (DP) heuristics for solving the Quadratic Knapsack Problem (QKP). The QKP is a variant of the classical knapsack problem where the profit matrix includes ...
Comparative analysis of creative problem solving tasks across age groups using modular cube robotics
1 MSc SmartEdTech, Université Côte d’Azur, Nice, France 2 Science, Mathematics, and Technology Education (SMTE) Department, Institute of Education and Research, University of Dhaka, Dhaka, Bangladesh ...
Google DeepMind has made a significant breakthrough in artificial intelligence (AI) research, unveiling the remarkable capabilities of Transformer models. Their findings challenge the conventional ...
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