Neuromorphic and brain-inspired nanoelectronics is a type of technology that is inspired by the biological processes that occur in the brain. The technology focuses on the development of nanoscale devices that can mimic the behavior of neurons and other elements of the brain. This technology has the potential to revolutionize the way that computing is done, allowing for more efficient and powerful computers. Neuromorphic and brain-inspired nanoelectronics is based on the concept of using nanoscale devices to replicate the behavior of neurons and other elements of the brain. These devices are capable of recognizing patterns, making decisions, and learning from experience. This technology can be used to create artificial neural networks that can sense, interpret, and react to environmental data. Additionally, these networks can be used to control machines, robots, and other forms of automation. The development of neuromorphic and brain-inspired nanoelectronics has been made possible by advances in nanotechnology. This technology allows for the manipulation of materials at the nanoscale, allowing for the precise control of the behavior of these devices. Additionally, nanoscale devices are much smaller and more efficient than their traditional counterparts, making them ideal for use in computing. Neuromorphic and brain-inspired nanoelectronics has the potential to revolutionize the way computing is done. This technology can be used to create faster and more efficient computers that can process more data in less time. Additionally, it can be used to develop intelligent machines and robots that can learn from experience and make decisions based on the data they receive. This technology can also be used to create artificial neural networks that can be used for a variety of applications, such as pattern recognition and machine learning.
Title : Circumventing challenges in developing CVD graphene on steels for extraordinary and durable corrosion resistance
Raman Singh, Monash University, Australia
Title : Evaluating cytotoxicity of metal-doped tin oxide nanoparticles
Paulo Cesar De Morais, Catholic University of Brasilia, Brazil
Title : Nanotechnology and polymers for sea and ocean sterilization using artificial intelligence with artificial intelligence-engineered nano-polymer membranes
Fadi Ibrahim Ahmed, Al-shujaa bin Al-aslam School, Kuwait
Title : Dual memory characteristics and crystallographic transformations in shape memory alloys
Osman Adiguzel, Firat University, Turkey
Title : Flexible fabric-based nanostructured color-generating film systems
Xinhua Ni, Guangzhou City University of Technology, China
Title : A broadband, angle-insensitive aluminium-based near infra-red absorber for protecting warfighters and sensitive optics technologies
Chayanika Baishya, Indian Institute of Technology Guwahati, India