Abstract
Nanotechnologies are being spoken of as the driving force behind a new industrial revolution. Both private and public-sector spending are constantly increasing. In recent years the industries like Automobile, Medical, Space, Communication, Space and Military have realized tremendous benefits originating from discoveries made in the fields of Nanotechnology, Robotics and Artificial Intelligence (NRAI).During the last decade there has been increasing use of artificial intelligence tools in nanotechnology research. Artificial intelligence (AI) and nanotechnology are two fields that are instrumental in realizing the goal of precision medicine tailoring the best treatment for each cancer patient. Recent conversion between these two fields is enabling better patient data acquisition and improved design of nonmaterial’s for precision cancer medicine. Diagnostic nonmaterial’s are used to assemble a patient-specific disease profile, which is then leveraged, through a set of therapeutic nanotechnologies, to improve the treatment outcome. However, high intratumor and interpatient heterogeneities make the rational design of diagnostic and therapeutic platforms, and analysis of their output, extremely difficult. Integration of AI approaches can bridge this gap, using pattern analysis and classification algorithms for improved diagnostic and therapeutic accuracy. Nanomedicine design also benefits from the application of AI, by optimizing material properties according to predicted interactions with the target drug, biological fluids, immune system, vasculature, and cell membranes, all affecting therapeutic efficacy. Here, fundamental concepts in AI are described and the contributions and promise of nanotechnology coupled with AI to the future of precision cancer medicine are reviewed. Nanoscale applications working alone and in concert with AI will begin to move from the laboratories of the world into the theatres of war. Just as AI systems are now being wholly integrated into military decision making processes such as allowing satellites to deter attacks autonomously, in complimentary fashion, nanotechnology is providing the fabric for military space development.
Highlights
Innovations in the field of lithography and multi gate processing, such as double and tri gate transistor will contribute to dramatic increases in processing speed and efficiency when compared to the traditional and increasingly more archaic silicon chip
Nanotechnology combines the knowledge of physics, chemistry and engineering, Artificial intelligence (AI) has heavily relied on biological inspiration to develop some of its most effective paradigms such as neural networks or evolutionary algorithms
Bridging the link between current Nanosciences and AI can boost research in these disciplines and provide a new generation of information and communication technologies that will have a large impact in our society, probably providing the means so that technology and biology merge
Summary
Innovations in the field of lithography and multi gate processing, such as double and tri gate transistor will contribute to dramatic increases in processing speed and efficiency when compared to the traditional and increasingly more archaic silicon chip. The long-term prospects of nanotechnology are on a impactful scale: In 1986 Foresight was founded on a vision of the emerging field of nanotechnology in which current capabilities in nanotechnology lead eventually to fabrication of complex products with atom-by-atom control of the manufacturing process This ultimate development of nanotechnology, sometimes termed molecular manufacturing and often termed APM (atomically precise manufacturing), was first described by Richard Feynman in 1959 in his visionary talk “There’s Plenty of Room at the Bottom.”. Nanotechnology research can lead to progress in hardware that can tremendously advance computing power and boost progress in AI accelerating the mutually beneficial feedback loop between the two technologies The value of this meta workshop, AI for Scientific Progress, was to propose and discuss the most promising routes for immediate collaboration between AI and nanotechnology experts [4]
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
