What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Electrical engineering
His primary areas of study are Electronic engineering, Pixel, Artificial intelligence, CMOS and Optics.
The concepts of his Electronic engineering study are interwoven with issues in Microsystem, Reduction and Communication channel.
His Pixel research incorporates elements of Dynamic range, Digital image and Vision chip.
His Artificial intelligence study combines topics from a wide range of disciplines, such as Decoding methods, Asynchronous communication and Computer vision.
His work in Computer vision covers topics such as Ranging which are related to areas like Computational model, Range and Subthreshold conduction.
His Optics research is multidisciplinary, incorporating elements of Motion detection, Electrical engineering and Low-power electronics.
His most cited work include:
- Neuromorphic Silicon Neuron Circuits (1070 citations)
- A biomorphic digital image sensor (293 citations)
- Decoding of Individuated Finger Movements Using Surface Electromyography (255 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Artificial intelligence, Computer vision, Pixel, Electronic engineering and CMOS.
His research on Artificial intelligence often connects related topics like Visual perception.
His research ties Cardinal point and Computer vision together.
His studies in Pixel integrate themes in fields like Image sensor, Bandwidth, Chip and Vision chip.
In his research on the topic of Chip, Central pattern generator is strongly related with Very-large-scale integration.
Ralph Etienne-Cummings combines subjects such as Wireless, Electronic circuit, Wavefront, Operational amplifier and Signal with his study of Electronic engineering.
He most often published in these fields:
- Artificial intelligence (40.00%)
- Computer vision (32.67%)
- Pixel (23.67%)
What were the highlights of his more recent work (between 2014-2021)?
- Artificial intelligence (40.00%)
- Computer vision (32.67%)
- Neuromorphic engineering (12.33%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Neuromorphic engineering, Compressed sensing and Pixel.
His Artificial intelligence research is multidisciplinary, incorporating perspectives in Field-programmable gate array, Visual perception and Pattern recognition.
His work on Tracking, High dynamic range and Object detection is typically connected to Code as part of general Computer vision study, connecting several disciplines of science.
His research investigates the connection with Neuromorphic engineering and areas like Visualization which intersect with concerns in Computer graphics, Stereopsis and Computation.
Ralph Etienne-Cummings works mostly in the field of Compressed sensing, limiting it down to concerns involving Electronic engineering and, occasionally, Data transmission.
In his study, CMOS and Video camera is inextricably linked to Image sensor, which falls within the broad field of Pixel.
Between 2014 and 2021, his most popular works were:
- HFirst: A Temporal Approach to Object Recognition (148 citations)
- Large-Scale Neuromorphic Spiking Array Processors: A Quest to Mimic the Brain (78 citations)
- A Fully Integrated Wireless Compressed Sensing Neural Signal Acquisition System for Chronic Recording and Brain Machine Interface (69 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer vision
- Electrical engineering
His primary scientific interests are in Artificial intelligence, Computer vision, Electrical engineering, CMOS and Pixel.
His Compressed sensing, Neuromorphic engineering, Deep learning and Artificial neural network study in the realm of Artificial intelligence connects with subjects such as Worry.
Ralph Etienne-Cummings has included themes like Illusion, Algorithm design and Visual processing in his Computer vision study.
CMOS is a subfield of Electronic engineering that Ralph Etienne-Cummings studies.
His Electronic engineering research includes elements of Analogue electronics, Inductive charging and Noise.
The various areas that he examines in his Pixel study include Reset, Frame and Voltage.
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