Results 31 to 40 of about 14,371 (200)
As technology has advanced, the application space of Very Long Instruction Word (VLIW) processors has grown to include a variety of embedded platforms. Due to cost and power consumption constraints, many embedded VLIW processors contain limited resources, including registers.
Xu, WF, Tessier, R
openaire +2 more sources
Frames have established themselves as a means to derive redundant, yet stable decompositions of a signal for analysis or transmission, while also promoting sparse expansions.
Casazza, Peter G. +3 more
core +1 more source
Artificial intelligence (AI) enables the systematic analysis and comparative evaluation of experimental and theoretical data, optimizes the catalytic reaction research workflow, and accelerates the discovery of high‐performance electrocatalysts. ABSTRACT Copper (Cu)‐based single‐atom alloys (SAAs) represent a promising strategy for optimizing the ...
Xuning Wang +5 more
wiley +2 more sources
Visuospatial Working Memory Tasks May Not Reduce the Intensity or Distress of Intrusive Memories
Cognitive interventions involving visuospatial tasks, such as the game “Tetris” have demonstrated efficacy in reducing the frequency of intrusive memories.
Amalia Badawi +5 more
doaj +1 more source
Background Neuro-imaging studies demonstrate plasticity of cortical gray matter before and after practice for some motor and cognitive tasks in adults. Other imaging studies show functional changes after practice, but there is not yet direct evidence of ...
Leyba Leonard +3 more
doaj +1 more source
Optimizing the CVaR via Sampling [PDF]
Conditional Value at Risk (CVaR) is a prominent risk measure that is being used extensively in various domains. We develop a new formula for the gradient of the CVaR in the form of a conditional expectation.
Glassner, Yonatan +2 more
core +1 more source
Tetris is an Asynchronous Byzantine Fault Tolerance consensus algorithm designed for next generation high-throughput permission and permissionless blockchain. The core concept of Tetris is derived from Reasoning About Knowledge, which we believe to be the most appropriate tools for revealing and analyzing the fundamental complexity of distributed ...
Xu, Jiajun, Huang, Sam
openaire +2 more sources
Online Meta-learning by Parallel Algorithm Competition
The efficiency of reinforcement learning algorithms depends critically on a few meta-parameters that modulates the learning updates and the trade-off between exploration and exploitation.
Baker James E. +13 more
core +1 more source
Total Tetris: Tetris with Monominoes, Dominoes, Trominoes, Pentominoes,...
We consider variations on the classic video game Tetris where pieces are k-ominoes instead of the usual tetrominoes (k = 4), as popularized by the video games ntris and Pentris. We prove that it is NP-complete to survive or clear a given initial board with a given sequence of pieces for each k ≤ 5, complementing the previous NP-completeness result for ...
Erik D. Demaine +6 more
openaire +4 more sources
Spectral Tetris Fusion Frame Constructions [PDF]
Spectral tetris is a fexible and elementary method to construct unit norm frames with a given frame operator, having all of its eigenvalues greater than or equal to two. One important application of spectral tetris is the construction of fusion frames. We first show how the assumption on the spectrum of the frame operator can be dropped and extend the ...
Casazza, Peter G. +4 more
openaire +3 more sources

