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They may include direct interfaces to take data from cameras (bypassing any off chip buffers), and have a greater emphasis on on-chip dataflow between many parallel execution units with scratchpad memory, like a manycore DSP. But, like video processing units, they may have a focus on low precision fixed point arithmetic for image processing.
An AI accelerator, deep learning processor or neural processing unit (NPU) 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.
RIVA is an acronym for Real-time Interactive Video and Animation accelerator. [1] The "TNT" suffix refers to the chip's ability to work on two texels at once (TwiN Texel). [2] The first graphics card that was based on the RIVA TNT chip was the Velocity 4400, released by STB Systems on June 15, 1998.
After removal or other processing, the remaining photoresist is removed by "dry" stripping/plasma ashing/resist ashing or by "wet" resist stripper chemistry. [143] Wet etching was widely used in the 1960s and 1970s, [ 144 ] [ 145 ] but it was replaced by dry etching/plasma etching starting at the 10 micron to 3 micron nodes.
Tensor Processing Unit (TPU) is an AI accelerator application-specific integrated circuit (ASIC) developed by Google for neural network machine learning, using Google's own TensorFlow software. [2]
A linear particle accelerator (often shortened to linac) is a type of particle accelerator that accelerates charged subatomic particles or ions to a high speed by subjecting them to a series of oscillating electric potentials along a linear beamline.
The first synchrotron to use the "racetrack" design with straight sections, a 300 MeV electron synchrotron at University of Michigan in 1949, designed by Dick Crane.. A synchrotron is a particular type of cyclic particle accelerator, descended from the cyclotron, in which the accelerating particle beam travels around a fixed closed-loop path.
The first electronic nose was created by W. F. Wilkens and J. D. Hartman in 1964. [9] Larcome and Halsall discussed the use of robots for odor sensing in the nuclear industry in the early 1980s, [ 10 ] and research on odor localization was started in the early 1990s.