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 ...
The simulation hypothesis—the idea that our universe might be an artificial construct running on some advanced alien computer ...
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 ...