Yoo, "An energy- efficient analog front-end circuit for a sub-1-V digital hearing aid chip," IEEE J. Solid-State Circuits, vol. 41, no. 4, pp. 1081-1091, Apr. 2006.An energy-efficient analog front-end circuit for a sub-1-V digital hearing aid chip. Kim, Sunyoung,Lee, Jae-...
In water transport systems, smart meters are used to measure the water pressure or to measure the weight of goods. These smart meters are vulnerable to both physical and cyber-attacks whereasanalog metersface only physical attacks, not cyber-attack. ...
Rounding out the top five is another deal announced just this year: Analog Devices’ $21 billion purchase of Maxim Integrated. And we still have a couple of months left in 2020! An AI Ecosystem (Almost) from Scratch Artificial intelligence techniques have been employed for decades, but in the...
The A0 pin for the MCU analog input port connected to the node between the AIOM touch sensor and the auxiliary resistor. When the external mechanical stimulation was applied to one active touch button or multiple active touch buttons of the AIOM touch sensor, the response resistance of the ...
An analog circuit architecture of Gaussian-kernel support vector machines having on-chip training capability has been developed. It has a scalable array processor configuration and the circuit size increases only in proportion to the number of learning samples. Thanks to the hardware-friendly algorithm...
Thus, the AICS usually integrates a programming environment, in order to help programmers to develop energy-efficient AI applications in an agile way. This environment contains the programming framework and programming language. Common deep learning programming frameworks include TensorFlow [26] and ...
the complex outputs. We can hereby achieve a single-layer neural network. This IDNN can also be multi-layered by cascading multiple chips or recycling one single chip. The recycling process can be realized by configuring the phase shifters through a computer-controlled digital-to-analog converter...
In this paper we present an adaptive synaptic array that can be used to improve the energy-efficiency of training machine learning (ML) systems. The synaptic array comprises of an ensemble of analog memory elements, each of which is a micro-scale dy
For efficient hardware realization of the proposed DEXAT neuron, multiple nonlinear/analog functions need to be harnessed. In particular: (i) we need a circuit–device property that can help realize the double exponential with varying time constants, during the decaying phase of the threshold and ...
It involves converting analog signals (such as audio or video) into digital form and performing various operations on them. DSP finds applications in fields like audio processing, geophysics, and medical imaging. AI generated definition based on: Music Engineering (Second Edition), 2001 About this ...