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A neural processing unit (NPU), also known as AI accelerator or deep learning processor, is a class of specialized hardware accelerator [1] or computer system [2] [3] designed to accelerate artificial intelligence (AI) and machine learning applications, including artificial neural networks and computer vision.
NPU may refer to: Science and technology. Net protein utilization, the percentage of ingested nitrogen retained in the body; NPU terminology (Nomenclature for ...
Ohio School Districts and County boundary lines. This is a list of school districts in the U.S. state of Ohio, sorted by the name of school district. Districts will often shorten their names; for example, Sandy Valley Local School District is often referred to as Sandy Valley Schools. Districts are listed by the name the district uses to refer ...
Hexagon is the brand name for a family of digital signal processor (DSP) and later neural processing unit (NPU) products by Qualcomm. [2] Hexagon is also known as QDSP6, standing for “sixth generation digital signal processor.”
Marysville Schools, is a growing [when?] school district located about 20 miles Northwest of Columbus, Ohio. The district has over 5,400 students consisting of five elementary schools (K-4), one intermediate school (5-6), one middle school (7-8), one high school (9-12), and one STEM early college high school (9-12). Our schools employ over 300 ...
There are 61 school systems in Ohio that have armed staff, according to the Ohio Department of Public Safety. New Richmond Exempted Village School District, which recently made headlines for its ...
As of May 2022, Springfield Local School District has been operating for 22 years without new sources of financing. Early on in the COVID-19 Pandemic, the Ohio Department of Education cut nearly half a million dollars of funding to the district, and Springfield introduced a $7.7 million levy that would keep the district financially stable. [5]
As early as 2006, researchers at Georgia Tech published a field programmable neural array. [15] This chip was the first in a line of increasingly complex arrays of floating gate transistors that allowed programmability of charge on the gates of MOSFETs to model the channel-ion characteristics of neurons in the brain and was one of the first cases of a silicon programmable array of neurons.