The familiar fight between “mind as software” and “mind as biology” may be a false choice. This work proposes biological computationalism: the idea that brains compute, but not in the abstract, symbol ...
Researchers have developed a new way to compress the memory used by AI models to increase their accuracy in complex tasks or help save significant amounts of energy.
Black holes — remnants of collapsed stars — have immense mass that curves spacetime so all paths lead inward. They also ...
Abstract: This is a continuation of Part I of the Special Issue of IEEE Transactions on Antennas and Propagation (TAP) on Frontiers in Computational Electromagnetics (CEM) at the intersection of ...
WEST LAFAYETTE, Ind. — With recent advances, cancer research now generates vast amounts of information. The data could help researchers detect patterns in cancer cells and stop their growth, but the ...
I enjoy problem solving across a wide range of topics. My studies focus on linear algebra, applied mathematics, and using programming to explore mathematical structures and behavior. I also have ...
ABSTRACT: We construct matrix strong exponential Diophantine m-tuples of order n . We construct matrix strong exponential Diophantine 540-tuples of order n . We show that matrix strong Diophantine ...
Abstract: In the trend of spectrometer miniaturization, the design of combining computational imaging with the metasurfaces has been proved to be an efficient and feasible solution. Nevertheless, ...
I earned my B.S. in Engineering Plus Robotics at Boise State University, focusing on robotics. Working alongside students on the Autonomous Robotics Team and drawing on my cross-disciplinary ...
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