Human subjects threw balls of clay at a visual target while looking through wedge prism spectacles. In studies of short-term adjustment, subjects threw in the direction of their prism-bent gaze, missing the target to that side. Within 10-30 throws, they gradually adapted with a wider gaze-throw angle and hit the target. Immediately after removal of the prisms the wide gaze-throw angle persisted...

OIn 1775 Joseph Priestley issued the first volumes of his Experiments & Observations on different kinds of Air [1], the fruit of work which had been occupying him for the previous four or five years [2], In the appendix to volume II of Priestley's work appeared a letter dated 3rd October 1775 in which the writer asserts that there is "no room to doubt of the great advantages the medical world m...

One typically proves infeasibility in satisfiability/constraint satisfaction (or optimality in integer programming) by constructing a tree certificate. However, deciding how to branch in the search tree is hard, and impacts search time drastically. We explore the power of a simple paradigm, that of throwing random darts into the assignment space and then using information gathered by that dart ...

Among the most pressing issues in current deep submicron VLSI circuits are large parameter variations, primarily caused by process technology imperfections, that result in excessive delay variations, and continuously increasing soft error rates. The former seriously challenges the classic synchronous design paradigm, and coping with the latter requires suitable fault-tolerant architectures. In ...

Kurzfassung: Dieser Artikel beschreibt Ziele und Lösungsansatz des prämierten FIT-IT „Embedded Systems“ Projekts „Distributed Algorithms for Robust Tick Synchronization“ (DARTS), das der Entwicklung einer fehlertoleranten Alternative zur herkömmlichen Taktgenerierung in VLSI Chips, Systems-on-Chip und anderen Hardware-Systemen gewidmet ist. Anstatt das Taktsignal eines einzelnen Oszillators mit...

Abstract Deep learning has shown prominent superiority over other machine algorithms in Single Image Super-Resolution (SISR). In order to reduce the efforts and resources cost on manually designing deep architecture, we use differentiable neural architecture search (DARTS) SISR. Since was originally used for classification tasks, our experiments show that direct usage of DARTS super-resolutions...

Neural network architecture search automatically configures a set of architectures according to the targeted rules. Thus, it relieves human-dependent effort and repetitive resources consumption for designing neural makes task finding optimum with better performance much more accessible. Network methods based on differentiable (DARTS), however, introduces parameter redundancy. To address this is...