Nano-Robotics Seminar presentation on nanorobotics technology and best open in powerpoint 2013 and next version.
comments below for download link and if you want this slide then in comments section comment mail id and also message me for downloading links.
Nanotechnology is the engineering of functional systems at the molecular scale.
The technology of creating machines or robots at or close to the microscopic scale of a nanometer (10−9 meters).
IT CONSISTS OF :
INTRODUCTION
TYPES OF NANOMATERIALS
WHY NANOTECHNOLOGY
APPLICATIONS OF NANOTECHNOLOGY
ADVANTAGES & DISADVANTAGES
FUTURE OF NANOTECHNOLOGY
CONCLUSION
REFERENCE
Nanorobotics is a new field of science. Most of the projects are in research and development phase. The only proper applications have been made in the medicinal field.
History.
Definition.
Techniques of nanotechnology.
Application in nanotechnology.(Nanomedicine,)
(Nanoelectronics,Nanoagriculture,Nanospace and many others)
Advantages of nanotechnology.
Disadvantages of nanotechnology.
Conclusion.
Nanorobotics,
Application of Nanorobotics,
Parts of Nanorobotics, challenges
cons of nanorobots
nanorobot drug delivery
nanorobotics in cancer
nanorobot in blood clot
nanorobotics in kidney stone
use of nanorobots in cell surgery
nanotechnology in gout
Nano-Robotics Seminar presentation on nanorobotics technology and best open in powerpoint 2013 and next version.
comments below for download link and if you want this slide then in comments section comment mail id and also message me for downloading links.
Nanotechnology is the engineering of functional systems at the molecular scale.
The technology of creating machines or robots at or close to the microscopic scale of a nanometer (10−9 meters).
IT CONSISTS OF :
INTRODUCTION
TYPES OF NANOMATERIALS
WHY NANOTECHNOLOGY
APPLICATIONS OF NANOTECHNOLOGY
ADVANTAGES & DISADVANTAGES
FUTURE OF NANOTECHNOLOGY
CONCLUSION
REFERENCE
Nanorobotics is a new field of science. Most of the projects are in research and development phase. The only proper applications have been made in the medicinal field.
History.
Definition.
Techniques of nanotechnology.
Application in nanotechnology.(Nanomedicine,)
(Nanoelectronics,Nanoagriculture,Nanospace and many others)
Advantages of nanotechnology.
Disadvantages of nanotechnology.
Conclusion.
Nanorobotics,
Application of Nanorobotics,
Parts of Nanorobotics, challenges
cons of nanorobots
nanorobot drug delivery
nanorobotics in cancer
nanorobot in blood clot
nanorobotics in kidney stone
use of nanorobots in cell surgery
nanotechnology in gout
This PPT is about Nano-Biotechnology and its applications.
This presentation Secured 2nd Prize in State level competition on the Topic of EMERGING TECHNOLOGY IN COMPUTER SCIENCE conducted at S.V.D. Government Degree College for Women, Nidadavolu.
This Small PowerPoint Presentation is given by P.Nikhil, D.Dhanunjaya Rao from Government College, Rajahmundry.
Hope it is useful for future Generation.
Thank You.
A Review Paper on Latest Biomedical Applications using Nano-Technologyijsrd.com
At present, Nano technology has been improved in many ways but it had improved a lot in the case of Nano Medicine.It also plays a major role in engineering basis. The application of nano technology in medicine is called as Nano medicine. This paper explains the detail regarding Nano medicine. Nano technology has many molecular properties and applications of biological nano structure. These have physical, chemical and biological properties. These are mainly used to diagonize diseases from our body. Nano technology has special application in Nano medicine using Nano robot. This paper relates the use of Nano robots in surgeries. thes Nano robots are not oly safebut also faster. The size of these nano robot is 1-100nm.These use to cure many problems.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
3. DEFINATION
DEFINATION
Nanorobotics is the tiny machine designed
to perform a specific task whose
components are at or close to the scale of a
nanometer (10−9 meters)
1nm = 10−9 meters
NANO ROBOTICS
4. INTRODUCTION
Introduction
Nanorobot is the part of
nanotechnology.
NanoRobot is a Molecular
machine.
We also called nanorobots
as Nanobots, Nonoids,
Nanites, Nanomachines or
Nanomites.
The first useful applications of nanomachines might be
in medical
technology, which could be used to
idetify and destroy cancer cells.
NANO ROBOTICS
5. HISTORy
Dr. Adrino Cavalcanti has
invented the first practical
hardware
architecture
for
nanorobot as a CMOS
nanoelectronics circuit
1991 : Carbon nanotubes are discovered
1991 : Invention of atomic force microscope(AFM)
2000 : invention of nanofactory
NANO ROBOTICS
6. NANO TECHNOLOGy
Def: Nanotechnology is the manipulation of
thing on an atomic and molecular
The word nanotechnology popularized by the
K Eric Drexler in 1980
Generally nanotechnology works with
materials, devices and other structures with at
least one dimension sized from 1 to 1000 nm
Nanotechnology is a key technology for the
future and governments
NANO ROBOTICS
7. Investment
Nanotechnology is a key technology for the
future and Goverments .
Governments have invested billions of dollars
in its research.
Country
Invested
(dollar)
USA
3.7 Billions
EUROPEA
N UNION
1.2 Billions
JAPAN
750 Million
NANO ROBOTICS
8. How nanorobots are made ?
Developing is complicated
IBM : First Smallest logo in History
Mechanical Basis
Nano Factory
Shape of NanoRobot
Element used
Power cell
NANO ROBOTICS
9. sIze of nanorobot
1nm = 10−9 meter
We cant see with our nacked eyes
Size nanorobots are same like viruses and blood
cells
20-25
nm
NanoRobot
Viruse
Red Blood cell
NANO ROBOTICS
15. INJECTION OF NANOROBOTS
Nanorobots are introduced
into the body by surgery.
So the nanorobots are made
smaller than the blood
vessels as it can travel.
The nanorobot is injected in
femoral artery
NANO ROBOTICS
16. NAVIGATION & POSITIONING
Nanorobots use blood flow
for its movement.
All nanorobots
communicates outside with
Ad-Hoc Network
To know the location of
nanorobots where it goes we
use ultrasonic technique
Signal processing
techniques are used to track
this ultrasonic signal
NANO ROBOTICS
17. APPlICATION
Application in Medical Science
Tumors
Blood clots
Kidney Stones
Liver Stones
To Cure skin Diseases
Disabling unwanted Bacteria and Viruses
Heart Surgery
Smart anti-cancer Therapeutics
NANO ROBOTICS
19. AdvAntAge
Fast process & results are accurate.
Involves less psychological strain
Harmful ray attack is reduced.
Side effects are eliminated
NANO ROBOTICS
21. conclusion
Nanomachines are largely in the research-anddevelopment phase
As the construction of nano robots is under
progress, the ideas explained here could not
be implemented at present.
This will be implemented soon in future
NANO ROBOTICS