Mingi Kang ’26 received a Fall Research Award from Bowdoin this semester to support his project exploring how two distinct ...

Quadratically constrained quadratic programming (QCQP) problems appear in a wide range of engineering fields, including computer science, communication engineering, and finance. A key difficulty in ...

Abstract: The lack of blood products poses a risk to public health and safety. The management of blood banks' supply chains involves considerable uncertainty due to the perishability of these products ...

An artificial-intelligence model did something last month that no machine was ever supposed to do: It rewrote its own code to avoid being shut down. Nonprofit AI lab Palisade Research gave OpenAI’s o3 ...

CUDA enables faster AI processing by allowing simultaneous calculations, giving Nvidia a market lead. Nvidia's CUDA platform is the foundation of many GPU-accelerated applications, attracting ...

Yesterday in an announcement blog post, AI company Anthropic unveiled Claude 4, its new generation of AI models consisting of Claude 4 Opus and Claude 4 Sonnet with a range of new abilities. Both ...

There’s a curious contradiction at the heart of today’s most capable AI models that purport to “reason”: They can solve routine math problems with accuracy, yet when faced with formulating deeper ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. There is a need for design strategies that can support rapid and widespread deployment ...

This paper deals with linear programming techniques and their application in optimizing lecture rooms in an institution. This linear programming formulated based on the available secondary data ...

linear dependencies in many situations can be considered as quite satisfactory approximations of actual nonlinear dependencies.At the same time,a linear dependence is easy to specify,which makes it ...