Results 201 to 210 of about 109,285 (289)

Photonic edge intelligence chip for multi-modal sensing, inference and learning. [PDF]

open access: yesNat Commun
Zhang S   +8 more
europepmc   +1 more source

Novel List Scheduling Strategies for Data Parallelism Task Graphs

open access: diamond, 2014
Yang Liu   +3 more
openalex   +2 more sources

Growth Autocorrelation in Atlantic Bluefin Tuna Thunnus thynnus Larvae in the Northwest Mediterranean and the Gulf of Mexico

open access: yesFisheries Oceanography, EarlyView.
ABSTRACT Growth and survival rates during the early life stages are key vital parameters driving population dynamics of fish. Growth rates generally present a pattern of autocorrelation. Growth autocorrelation is stronger when faster and slower growing individuals continue to grow faster and slower.
José María Quintanilla   +6 more
wiley   +1 more source

TEACHING SPANISH IN THE UNIVERSAL MONARCHY: TOMÁS PINPIN'S GRAMMAR FOR TAGALOGS (1610)

open access: yesHistory and Theory, EarlyView.
ABSTRACT In 1610, a Tagalog printer named Tomás Pinpin published a Spanish grammar in Tagalog that was intended to help natives avoid errors and misunderstandings in their interactions with Spanish colonizers. This article attempts to clarify the book's genesis and to contextualize it within the global expansion of Spanish. Pinpin exemplifies a pattern
ALAN DURSTON
wiley   +1 more source

Northern cod (Gadus morhua) movement: insights from acoustic telemetry and genomics

open access: yesJournal of Fish Biology, EarlyView.
Abstract Knowledge of the timing and diversity of fish movements within a commercially exploited stock complex is required to ensure the sustainability of fisheries. Although migration can be driven by environmental factors, genomic mechanisms also play an important role in this complex life‐history trait. The northern cod (Gadus morhua) stock complex,
M. Lisette Delgado   +10 more
wiley   +1 more source

Analogue optical pattern recognition for cross‐correlational CNN

open access: yesJournal of Microscopy, EarlyView.
Abstract Pattern recognition in convolutional neural networks (CNNs) is computationally intensive due to its reliance on 2D convolutions, requiring significant processing power and time. This paper proposes an analogue optical hardware system to improve CNN efficiency, focusing on forward propagation tasks such as data preparation, correlation, and ...
Ahmed Farhat, Wim J. C. Melis
wiley   +1 more source

Home - About - Disclaimer - Privacy