Professional Issues in IT course project presentation to discuss how DNA can be used to store and manipulate information. Also, I discussed why or how can we use DNA in computing.
DNA computing is a branch of computing which uses DNA, biochemistry, and molecular biology hardware, instead of the traditional silicon-based computer technologies. Research and development in this area concerns theory, experiments, and applications of DNA computing. The term "molectronics" has sometimes been used, but this term had already been used for an earlier technology, a then-unsuccessful rival of the first integrated circuits, this term has also been used more generally, for molecular-scale electronic technology
DNA Computer can store billions of times more information then your PC hard drive and solve complex problems in a less time. We know that computer chip manufacturers are racing to make the next microprocessor that will more faster. Microprocessors made of silicon will eventually reach their limits of speed and miniaturization. Chips makers need a new material to produce faster computing speeds.
Data is what we live for so until human race is currently producing data it needs to be stored somewhere but the things or storage devices developed so far are just not enough even the so called cloud would get out of shape some time so the natural solution to the problem is the solution that existed long before humanity ever started thinking-- DNA ,after all it stores the data equivalent to what can produce a whole human being.
STS stands for sequence tagged site which is short DNA sequence, generally between 100 and 500 bp in length, that is easily recognizable and occurs only once in the chromosome or genome being studied.
Professional Issues in IT course project presentation to discuss how DNA can be used to store and manipulate information. Also, I discussed why or how can we use DNA in computing.
DNA computing is a branch of computing which uses DNA, biochemistry, and molecular biology hardware, instead of the traditional silicon-based computer technologies. Research and development in this area concerns theory, experiments, and applications of DNA computing. The term "molectronics" has sometimes been used, but this term had already been used for an earlier technology, a then-unsuccessful rival of the first integrated circuits, this term has also been used more generally, for molecular-scale electronic technology
DNA Computer can store billions of times more information then your PC hard drive and solve complex problems in a less time. We know that computer chip manufacturers are racing to make the next microprocessor that will more faster. Microprocessors made of silicon will eventually reach their limits of speed and miniaturization. Chips makers need a new material to produce faster computing speeds.
Data is what we live for so until human race is currently producing data it needs to be stored somewhere but the things or storage devices developed so far are just not enough even the so called cloud would get out of shape some time so the natural solution to the problem is the solution that existed long before humanity ever started thinking-- DNA ,after all it stores the data equivalent to what can produce a whole human being.
STS stands for sequence tagged site which is short DNA sequence, generally between 100 and 500 bp in length, that is easily recognizable and occurs only once in the chromosome or genome being studied.
DNA computer is an emerging challenge of bioinformatics..and scientists working hard to nullify the bottlenecks by serial experiments and modifications accordingly...Let`s hope for the best.
Abstract - Generally,the computer systems are made up of silicon-based computer technologies. In DNA computing, it is based on the computing techniques of DNA, biochemistry and molecular biology, instead of traditional silicon-based computer technology. Initially,Adleman computed an experiment which instances the Hamiltonian path problem with DNA test tubes in 1994. Then he computed further research on computation with molecular means in theoretical computer science. DNA computing has vast parallelism and high-density storage to solve many problems. Also, DNA has explored as an excellent material and a fundamental building block for developing large scale nanostructures, constructing individual nanomechanical devices, and performing computations. The input and output information will be in the molecular form which is demonstrated by molecular-scale autonomous programmable computers. This paper deals with the review of future advancements in DNA computing and challenges for researchers in future.
DNA digital data storage is the process of encoding and decoding binary data to and from synthesized strands of DNA. While DNA as a storage medium has enormous potential because of its high storage density, its practical use is currently severely limited because of its high cost and very slow read and write times.
DNA digital data storage is the process of encoding and decoding binary data to and from synthesized strands of DNA. While DNA as a storage medium has enormous potential because of its high storage density, its practical use is currently severely limited because of its high cost and very slow read and write times.
Molecular computing is an emerging field to which chemistry,
biophysics, molecular biology, electronic engineering, solid state physics and computer science contribute to a large extent. It involves the encoding, manipulation and retrieval of information at a macro molecular level in contrast to the current techniques, which accomplish the above functions
via IC miniaturization of bulk devices. Bio-molecular computers have the real potential for solving problems of high computational complexities and therefore, many problems are still associated with this field.
Bio computers use systems of biologically derived molecules—such as DNA and proteins—to perform computational calculations involving storing, retrieving, and processing data. The development of biocomputers has been made possible by the expanding new science of nanobiotechnology.
In computing ,a futex is a linux kernel system call that programmers can use to implement basic locking, or as a building block for higher-level locking abstractions such as posix mutexes or condition variables.
A Distributed computing architeture consists of very lightweight software agents installed on a number of client systems , and one or more dedicated distributed computing managment servers.
An ocular prosthesis or artificial eye is a type of craniofacial prosthesis that replaces an absent eye following an enuleatin, evisceration, or orbital exenteration.
Wibree is the first open technology offering connectivity between mobile devices or personal computers and small button cell battery power devices such as watches, wireless keyboards, toys and sports & health care sensors
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
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.
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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.
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.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
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Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
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Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
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See how to accelerate model training and optimize model performance with active learning
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Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
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GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
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The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
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Bob Boule
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Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
2. Content
Introduction
Need for DNA Computing
Limitations / Current Problems
Applications of DNA Computing
Advantages of DNA Computing
Disadvantages of DNA Computing
Why don’t we see DNA computers everywhere?
The Future!
Conclusion
Reference
3. Introduction
What is DNA computing ?
Around 1950 first idea (precursor Feynman)
First important experiment 1994: Leonard
Adleman
Molecular level (just greater than 10-9 meter)
Massive parallelism.
In a liter of water, with only 5 grams of DNA we
get around 1021 bases !
Each DNA strand represents a processor !
4. History
This field was initially developed by Leonard
Adleman of the University of Southern California, in
1994.
Adleman demonstrated a proof-of-concept use of
DNA as a form of computation which solved the
seven-point Hamiltonian path problem.
Since the initial Adleman experiments, advances
have been made and various Turing machines have
been proven to be constructible
5. Basics And Origin of DNA
Computing
DNA computing is utilizing the property of DNA for
massively parallel computation.
With an appropriate setup and enough DNA, one can
potentially solve huge problems by parallel search.
Utilizing DNA for this type of computation can be much faster
than utilizing a conventional computer
Leonard Adleman proposed that the makeup of DNA and its
multitude of possible combining nucleotides could have
application in computational research techniques.
6. Need for DNA Computing
Conventional or traditional silicon based computers have a
limited speed and beyond a point cannot be miniaturize.
Information storage capacity of DNA molecule is much higher
than the silicon chips. One cubic nanometre of DNA is
sufficient to store 1bit information
Operations on DNA computing are parallel, test tube of DNA
may contain around trillions of strands. Each operation is
carried out in all the strands present in the test tube parallel.
1 gram of DNA can store a huge amount of data such as 1 �-
1014 MB of data; to listen to the same amount of data stored
in a CD will require 163,000 centuries.
7. Limitations / Current
Problems
It involves a relatively large amount of error.
Requires human assistance.
Time consuming laboratory procedures.
No universal method of data representation .
8. Applications of DNA Computing
DNA chips
Genetic programming
Pharmaceutical applications
Cracking of coded messages
DNA fingerprinting
9. Advantages of DNA
Computing
Perform millions of operations simultaneously
Generate a complete set of potential solutions
Conduct large parallel searches
Efficiently handle massive amounts of working memory
Cheap, clean, readily available materials
Amazing ability to store information
10. Disadvantages of DNA
Computing
Generating solution sets, even for some relatively
simple problems, may require impractically large
amounts of memory (lots and lots of DNA strands are
required)
DNA computers could not (at this point) replace
traditional computers.
They are not programmable and the average dunce
can not sit down at a familiar keyboard and get to
work.
11. Why don’t we see DNA
computers everywhere?
DNA computing has wonderful possibilities:
Reducing the time of computations* (parallelism)
Dynamic programming !
However one important issue is to find “the killer
application”.
Great hurdles to overcome…
12. The Future!
Algorithm used by Adleman for the traveling salesman
problem was simple. As technology becomes more refined,
more efficient algorithms may be discovered.
DNA Manipulation technology has rapidly improved in recent
years, and future advances may make DNA computers more
efficient.
The University of Wisconsin is experimenting with chip-based
DNA computers.
DNA computers are unlikely to feature word processing,
emailing and solitaire programs.
Instead, their powerful computing power will be used for
areas of encryption, genetic programming, language systems,
and algorithms or by airlines wanting to map more efficient
routes. Hence better applicable in only some promising areas.
13. Conclusion
Many issues to be overcome to produce a useful DNA
computer.
It will not replace the current computers because it is
application specific, but has a potential to replace the
high-end research oriented computers in future.