I was the co-instructor of the big masters-level Artificial Intelligence course in the Spring of 2015 at the University of Southern California, for eight lectures on formal logic. For their logic ...

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...

Who’s interested in a brand new, from-scratch boundary representation (BREP) kernel? How about one that has no topological naming problem, a web-native parametric CAD front end to play with, and has ...

Abstract: In-memory computing is an emerging computing paradigm to breakthrough the von-Neumann bottleneck. The SRAM based in-memory computing (SRAM-IMC) attracts great concerns from industries and ...

pyQBTNs is a Python library for boolean matrix and tensor factorization using D-Wave quantum annealers. The library includes five different boolean tensor decomposition methods making up three ...

Abstract: Computing in-memory (CIM) is a promising new computing method to solve problems caused by von Neumann bottlenecks. It mitigates the need for transmitting large amounts of data between the ...

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Will you have a white Christmas this year? What do you notice about the map below? What questions does it raise for you? By The Learning Network What do you notice about the global nuclear stockpile, ...