Neuromorphic Computing DOI

Devendra G. Pandey,

Yogesh Kumar Sharma, Nimish Kumar

et al.

Advances in computational intelligence and robotics book series, Journal Year: 2024, Volume and Issue: unknown, P. 411 - 428

Published: Oct. 4, 2024

The exponential growth of data and information has stimulated technological progress in computing systems that utilize them to effectively discover patterns produce important insights. Neural network algorithms have been applied conventional silicon transistor-based hardware do highly parallel computations, drawing inspiration from the structure functions biological synapses neurons brain. Nevertheless, composed many transistors are limited storing binary data, utilization intricate neuron circuits handle these digital states poses challenges achieving low-power low-latency computing. This study examines significance developing memories switches for synaptic neural components building Neuromorphic can efficiently conduct cognitive tasks recognition. chapter closely rates latest computing, focusing on how changes impact edge Internet Things technologies. It is also being thought about use tiny short-term memory copy action neurons. Once this done, more Studies areas should be able focus design, circuitry, devices systems.

Language: Английский

Quantum Algorithms and Predictive Analytics DOI
Muhammad Usman Tariq

Advances in marketing, customer relationship management, and e-services book series, Journal Year: 2024, Volume and Issue: unknown, P. 173 - 202

Published: Dec. 13, 2024

This chapter examines how quantum computing has impacted predictive analytics in neuromarketing a significant way. It talks about marketers understanding, and prediction of consumer behaviour is changing as result algorithms' capacity to process large complex datasets. The explores AI being applied the real world highlights businesses that have effectively used this technology get more precise insights. Furthermore, it provides guidelines for responsible implementation discusses ethical issues related use such privacy data transparency. In order improve engagement strategies, also looks at interdisciplinary approaches combine with marketing neuroscience. With an eye toward future projects quantum-enhanced will impact over next ten years by identifying emerging trends possible obstacles opportunities.

Language: Английский

Citations

9
Quantum Computing as an Enabler for sustainable Circular Economy implementation in Industry 4.0: A study DOI Creative Commons
Abdur Rahman Jami,

Abid Haleem

Published: May 1, 2025

Language: Английский

Citations

0
Neuromorphic Computing DOI

Devendra G. Pandey,

Yogesh Kumar Sharma, Nimish Kumar

et al.

Advances in computational intelligence and robotics book series, Journal Year: 2024, Volume and Issue: unknown, P. 411 - 428

Published: Oct. 4, 2024

The exponential growth of data and information has stimulated technological progress in computing systems that utilize them to effectively discover patterns produce important insights. Neural network algorithms have been applied conventional silicon transistor-based hardware do highly parallel computations, drawing inspiration from the structure functions biological synapses neurons brain. Nevertheless, composed many transistors are limited storing binary data, utilization intricate neuron circuits handle these digital states poses challenges achieving low-power low-latency computing. This study examines significance developing memories switches for synaptic neural components building Neuromorphic can efficiently conduct cognitive tasks recognition. chapter closely rates latest computing, focusing on how changes impact edge Internet Things technologies. It is also being thought about use tiny short-term memory copy action neurons. Once this done, more Studies areas should be able focus design, circuitry, devices systems.

Language: Английский

Citations

0