Embedded sensors in the noise and vibration space

Steven Johnson, Gary Newton, Director -...

Embedded sensors in the noise and...

Dennis Rausch, VP IT, Rea Magnet Wire Company

"A Programmer, A Controls Engineer...

Manufacturing is Once Again Strategic to the Enterprise

Raj Batra, President of Digital Factory...

Manufacturing is Once Again Strategic...

Considerations to Help Save on your Embedded Force Sensor Investment

Rob Podoloff, CTO, Tekscan, Inc.

Considerations to Help Save on your...

Nanotechnology and AI: The Perfect Brace!

Enterprise Technology Review | Wednesday, September 04, 2019

AI's integration with nanotechnology fulfills the need for sophisticated systems incompatible with few aspects of AI intensifying both science and technology.  

FREMONT, CA: With the advancements in AI and nanotechnology, a new generation of scientific instruments will uncover the sophisticated future. Nanotech is bound to be a tool that AI will use to achieve uniqueness in the future. It is of gigantic significance due to the wide range of applicability in various domains and material sciences.

Nanotech is enabling the transformation of stem cells to bone cells on demand, providing a solution for several ailments. The manipulation of AI-enabled stem cells is resulting in the creation of human organs for the substitution and repair of damaged ones. Nanobots can create an organ from stem cells when supervised by AI and also differentiate between good and bad cells that cancer researchers have been trying to determine. Nanobots rely on Machine Learning (ML) and other cognitive technologies to make such detection-based decisions. A model can be equipped to identify the infected and uninfected cells with the help of data pertaining to the human body and variation in the appearances of cells, which differentiates the healthy cells. This will be targeted by the nanobots to handle the problem and eradicate only the affected cells.

Nanotechnology could be a modish buzzword that constitutes of several remarkable applications in the field of science and technology. Nanotech advancements that are being made are also surpassing the compute power contributed by the graphics processing unit. This leads to large-scale discoveries in systems utilizing models like deep learning. Nano-enabled hardware has always been the goal of computer manufacturers in the pursuit of minimizing the use of hardware equipment while extending features and capabilities. 

Top