We present an Approximate Dynamic Programming (ADP) approach for the multidimensional knapsack problem (MKP). We approximate the value function (a) using parametric and nonparametric methods and (b) ...
World Finals held in Baku, Azerbaijan, Google's Gemini 2.5 Deep Think artificial intelligence system achieved a historic breakthrough. In this premier competition that brought together 139 top ...
Dynamic programming algorithms are developed for optimal capital allocation subject to budget constraints. We extend the work of Weingartner [17] and Weingartner and Ness [19] by including multilevel ...
In this competition, the advanced version of “Gemini 2.5 Deep Seek” participated remotely online and solved 10 out of 12 ...
Recently, the 2025 RAICOM Robotics Developer Competition successfully concluded. Students from Qingdao Agricultural ...
Alongside its Gemini generative AI model, Google this morning took the wraps off of AlphaCode 2, an improved version of the code-generating AlphaCode introduced by Google’s DeepMind lab roughly a year ...
Gold medal winning performances of GPT-5 and Gemini 2.5 DeepThink at prestigious coding competition shows how far LLMs have come.
Gemini 2.5 Deep Think scores competitive coding gold in ‘profound leap’ for abstract problem-solving
After a mathematics win in July, Gemini 2.5 Deep Think has now scored a gold-medal level performance in competitive coding.
Gemini's solutions for this year's ICPC were scored by the event coordinators, but Google also turned Gemini 2.5 loose on ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback