This Lecture/Presentation About Means-End Analysis (MEA), and is for the students of BS Computer Science, there may be mistakes and errors, therefore suggestions and corrections are warmly welcome.
Rohit Talwar Drivers of Disruption and Opportunity - LBS Enterprise 100 - J...Rohit Talwar
Presentation to the investment community at London Business School exploring key trends, developments and ideas shaping and disrupting the business landscape and the resulting investment opportunities that could emerge and the implications for investors. The talk covers:
- The evolution of technologies in business and the workplace
- How advances such as artificial intelligence, robotics, 3D / 4D printing, smart materials, immersive technologies and the multi-sensory internet could disrupt key business sectors
- Science and technology developments that could enhance the brain , body and human wellbeing and transform healthcare
- New business models that will change the way we finance assets and infrastructure, fund innovation and charge for goods and services
- How to spot and align with disruptive developments and decide when to invest.
This talk provides a speculative contemplation of philosophical topics that might arise with brain-machine interface technology and explores the new ways that individuals and society might self-enact as a result. Brain-machine interfaces that could be pervasive, continuous, and widely-adopted suggest interesting new possibilities for our future selves. From a philosophical perspective, these possibilities concern the definition of what it is to be human, our current existence and interaction with reality, and how all of this could be dramatically different in a scenario of digitally-linked cloudmind collaborations. This talk looks at some of the foundational ontological questions of how the progression of the existence of the classic human might evolve. Perhaps the most pressing question that currently-minded potential adopters have is how to avoid getting irreparably pulled into a groupmind. To protect against this, there could be an expansion and letting go of the term and concepts of personal identity, and humans as a unit of organization, in favor of instead self-relying on a decentralized permissioning structure like blockchain technology for managing empowered and resilient crowdmind participations.
This Lecture/Presentation About Means-End Analysis (MEA), and is for the students of BS Computer Science, there may be mistakes and errors, therefore suggestions and corrections are warmly welcome.
Rohit Talwar Drivers of Disruption and Opportunity - LBS Enterprise 100 - J...Rohit Talwar
Presentation to the investment community at London Business School exploring key trends, developments and ideas shaping and disrupting the business landscape and the resulting investment opportunities that could emerge and the implications for investors. The talk covers:
- The evolution of technologies in business and the workplace
- How advances such as artificial intelligence, robotics, 3D / 4D printing, smart materials, immersive technologies and the multi-sensory internet could disrupt key business sectors
- Science and technology developments that could enhance the brain , body and human wellbeing and transform healthcare
- New business models that will change the way we finance assets and infrastructure, fund innovation and charge for goods and services
- How to spot and align with disruptive developments and decide when to invest.
This talk provides a speculative contemplation of philosophical topics that might arise with brain-machine interface technology and explores the new ways that individuals and society might self-enact as a result. Brain-machine interfaces that could be pervasive, continuous, and widely-adopted suggest interesting new possibilities for our future selves. From a philosophical perspective, these possibilities concern the definition of what it is to be human, our current existence and interaction with reality, and how all of this could be dramatically different in a scenario of digitally-linked cloudmind collaborations. This talk looks at some of the foundational ontological questions of how the progression of the existence of the classic human might evolve. Perhaps the most pressing question that currently-minded potential adopters have is how to avoid getting irreparably pulled into a groupmind. To protect against this, there could be an expansion and letting go of the term and concepts of personal identity, and humans as a unit of organization, in favor of instead self-relying on a decentralized permissioning structure like blockchain technology for managing empowered and resilient crowdmind participations.
Transhumanism is the belief or theory that the human race can evolve beyond its current physical and mental limitations by means of science and technology. The more we explored this subject, the more we got fascinated to see how people are riding on the current era technologies to surpass the capabilities of human body. If the current explorations in transhumanism are anything to go by, then, we believe the future will be very exciting!
In this report we explore the various technologies, people involved and the advancements made in the field of Transhumanism. We would love to hear your feedback, comments and suggestions. Please mail us at ice@humanfactors.com
A simple Slideshare I put together exploring how wearables may be turning us into the cyborgs of science fiction. It may not be as far away as we think... from Doctor Who's Daleks, to Robocop, Darth Vader, Inspector Gadget, the Borg, and more...
What does the future look like? Is it a dark space where we’re suffering from varying degrees of techamphetamine or are we heading towards a Utopian fantasy of abundance and harmony?
Understanding that our basic human needs and wants barely change, we explore the future state of a range of topics; from our need for physical sustenance through to our age-long fascination of transcending the limitations of our biology.
Looking at the future from a human perspective, our potential for greatness is teetering on a fine line between darkness and hope. We’re banking on the latter.
Artificial intelligence (AI) is everywhere, promising self-driving cars, medical breakthroughs, and new ways of working. But how do you separate hype from reality? How can your company apply AI to solve real business problems?
Here’s what AI learnings your business should keep in mind for 2017.
How to implement artificial intelligence solutionsCarlos Toxtli
In this presentation, we show how a novice can learn artificial intelligence and implement the basic principles in real-world solutions. There is an easy quick start guide.
Is There a Return on Investment from Model-Based Systems Engineering?Elizabeth Steiner
See our latest webinar “Is There a Return on Investment from MBSE?” This question is one that many people ask. In fact, the International Council on Systems Engineering (INCOSE) has that as one of its tasks for their Value Proposition Initiative. A group of systems engineers is trying to find evidence to prove that MBSE has value. However, that becomes very difficult for a concept that has only been around for a dozen years, when the lifecycle of many of the systems of interest are measured in several decades. Your host Dr. Steven Dam will walk you through a method of finding a case for MBSE in this webinar.
https://youtu.be/NnQDinanhJU
Feature Importance Analysis with XGBoost in Tax auditMichael BENESTY
Presentation of a real use case at TAJ law firm (Deloitte Paris) of applying Machine learning on accounting to help clients to prepare their tax audit.
54 C o m m u n i C at i o n s o F t h e a C m | j u Ly 2 0 1 2 | v o L . 5 5 | n o . 7
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A r e s o f T wA r e M e T r i C s helpful tools or a waste of time?
For every developer who treasures these
mathematical abstractions of software systems
there is a developer who thinks software metrics are
invented just to keep project managers busy. Software
metrics can be very powerful tools that help achieve
your goals but it is important to use them correctly, as
they also have the power to demotivate project teams
and steer development in the wrong direction.
For the past 11 years, the Software Improvement
Group has advised hundreds of organizations
concerning software development and risk
management on the basis of software metrics.
We have used software metrics in more than 200
investigations in which we examined a single snapshot
of a system. Additionally, we use software metrics to
track the ongoing development effort of more than
400 systems. While executing these projects, we have
learned some pitfalls to avoid when using software
metrics in a project management setting. This
article addresses the four most important of these:
˲ Metric in a bubble;
˲ Treating the metric;
˲ One-track metric; and
˲ Metrics galore.
Knowing about these pitfalls will
help you recognize them and, hopeful-
ly, avoid them, which ultimately leads
to making your project successful. As
a software engineer, your knowledge
of these pitfalls helps you understand
why project managers want to use soft-
ware metrics and helps you assist the
managers when they are applying met-
rics in an inefficient manner. As an
outside consultant, you need to take
the pitfalls into account when pre-
senting advice and proposing actions.
Finally, if you are doing research in
the area of software metrics, knowing
these pitfalls will help place your new
metric in the right context when pre-
senting it to practitioners. Before div-
ing into the pitfalls, let’s look at why
software metrics can be considered a
useful tool.
software metrics steer People
“You get what you measure.” This
phrase definitely applies to software
project teams. No matter what you de-
fine as a metric, as soon as it is used to
evaluate a team, the value of the metric
moves toward the desired value. Thus,
to reach a particular goal, you can con-
tinuously measure properties of the
desired goal and plot these measure-
ments in a place visible to the team.
Ideally, the desired goal is plotted
alongside the current measurement to
indicate the distance to the goal.
Imagine a project in which the run-
time performance of a particular use
case is of critical importance. In this
case it helps to create a test in which
the execution time of the use case is
measured daily. By plotting this daily
data point against the desired value,
and making sure the team sees this
mea.
Provides products to commercial organizations and government projects seeking to improve their application delivery and development timelines and resource load
Transhumanism is the belief or theory that the human race can evolve beyond its current physical and mental limitations by means of science and technology. The more we explored this subject, the more we got fascinated to see how people are riding on the current era technologies to surpass the capabilities of human body. If the current explorations in transhumanism are anything to go by, then, we believe the future will be very exciting!
In this report we explore the various technologies, people involved and the advancements made in the field of Transhumanism. We would love to hear your feedback, comments and suggestions. Please mail us at ice@humanfactors.com
A simple Slideshare I put together exploring how wearables may be turning us into the cyborgs of science fiction. It may not be as far away as we think... from Doctor Who's Daleks, to Robocop, Darth Vader, Inspector Gadget, the Borg, and more...
What does the future look like? Is it a dark space where we’re suffering from varying degrees of techamphetamine or are we heading towards a Utopian fantasy of abundance and harmony?
Understanding that our basic human needs and wants barely change, we explore the future state of a range of topics; from our need for physical sustenance through to our age-long fascination of transcending the limitations of our biology.
Looking at the future from a human perspective, our potential for greatness is teetering on a fine line between darkness and hope. We’re banking on the latter.
Artificial intelligence (AI) is everywhere, promising self-driving cars, medical breakthroughs, and new ways of working. But how do you separate hype from reality? How can your company apply AI to solve real business problems?
Here’s what AI learnings your business should keep in mind for 2017.
How to implement artificial intelligence solutionsCarlos Toxtli
In this presentation, we show how a novice can learn artificial intelligence and implement the basic principles in real-world solutions. There is an easy quick start guide.
Is There a Return on Investment from Model-Based Systems Engineering?Elizabeth Steiner
See our latest webinar “Is There a Return on Investment from MBSE?” This question is one that many people ask. In fact, the International Council on Systems Engineering (INCOSE) has that as one of its tasks for their Value Proposition Initiative. A group of systems engineers is trying to find evidence to prove that MBSE has value. However, that becomes very difficult for a concept that has only been around for a dozen years, when the lifecycle of many of the systems of interest are measured in several decades. Your host Dr. Steven Dam will walk you through a method of finding a case for MBSE in this webinar.
https://youtu.be/NnQDinanhJU
Feature Importance Analysis with XGBoost in Tax auditMichael BENESTY
Presentation of a real use case at TAJ law firm (Deloitte Paris) of applying Machine learning on accounting to help clients to prepare their tax audit.
54 C o m m u n i C at i o n s o F t h e a C m | j u Ly 2 0 1 2 | v o L . 5 5 | n o . 7
practice
i
l
l
u
s
t
r
a
t
i
o
n
b
y
g
a
r
y
n
e
i
l
l
A r e s o f T wA r e M e T r i C s helpful tools or a waste of time?
For every developer who treasures these
mathematical abstractions of software systems
there is a developer who thinks software metrics are
invented just to keep project managers busy. Software
metrics can be very powerful tools that help achieve
your goals but it is important to use them correctly, as
they also have the power to demotivate project teams
and steer development in the wrong direction.
For the past 11 years, the Software Improvement
Group has advised hundreds of organizations
concerning software development and risk
management on the basis of software metrics.
We have used software metrics in more than 200
investigations in which we examined a single snapshot
of a system. Additionally, we use software metrics to
track the ongoing development effort of more than
400 systems. While executing these projects, we have
learned some pitfalls to avoid when using software
metrics in a project management setting. This
article addresses the four most important of these:
˲ Metric in a bubble;
˲ Treating the metric;
˲ One-track metric; and
˲ Metrics galore.
Knowing about these pitfalls will
help you recognize them and, hopeful-
ly, avoid them, which ultimately leads
to making your project successful. As
a software engineer, your knowledge
of these pitfalls helps you understand
why project managers want to use soft-
ware metrics and helps you assist the
managers when they are applying met-
rics in an inefficient manner. As an
outside consultant, you need to take
the pitfalls into account when pre-
senting advice and proposing actions.
Finally, if you are doing research in
the area of software metrics, knowing
these pitfalls will help place your new
metric in the right context when pre-
senting it to practitioners. Before div-
ing into the pitfalls, let’s look at why
software metrics can be considered a
useful tool.
software metrics steer People
“You get what you measure.” This
phrase definitely applies to software
project teams. No matter what you de-
fine as a metric, as soon as it is used to
evaluate a team, the value of the metric
moves toward the desired value. Thus,
to reach a particular goal, you can con-
tinuously measure properties of the
desired goal and plot these measure-
ments in a place visible to the team.
Ideally, the desired goal is plotted
alongside the current measurement to
indicate the distance to the goal.
Imagine a project in which the run-
time performance of a particular use
case is of critical importance. In this
case it helps to create a test in which
the execution time of the use case is
measured daily. By plotting this daily
data point against the desired value,
and making sure the team sees this
mea.
Provides products to commercial organizations and government projects seeking to improve their application delivery and development timelines and resource load
Building a General PDE Solving Framework with Symbolic-Numeric Scientific Mac...stazi3110
Wednesday April 3rd, 4:30pm, Room 2-255 at MIT Building a General PDE Solving Framework with Symbolic-Numeric Scientific Machine Learning The dream is to be able to write down a symbolic expression of a PDE and just get a solution. Not only get a solution, but get that solution efficiently. The question is, how do we effectively build a software ecosystem to achieve this goal, and what are the remaining mathematical problems that are necessary to solve in order to fill the gaps? In this talk we will discuss the Julia SciML ecosystem's approach to a general PDE solving framework. We will focus on 5 aspects: (1) a symbolic structural hierarchical classification of PDEs for shuttling high level PDE descriptions to appropriate solution approaches, (2) new time-stepping methods for accelerating the solution of semi-discretized equations and generalizing approaches from PDEs to structured ODE forms, (3) symbolic-numeric approaches for automating the transformation of semi-discretizations to simpler and more numerically stable equations before solving, and (4) new improvements to adjoint methods to decrease the memory requirements for differentiation of PDE solutions, and (5) scientific machine learning approaches to generate accelerated approximations (surrogates) to PDE simulators. We will demonstrate these methods with open source software that starts from symbolic expressions and solves industrial-scale PDEs with minimal lines of code.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
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.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
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.
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
28. This is KEEL Source Code Positions and Arguments are added to the screen with menu selection or hot keys.
29. The code is “dynamic”. As soon as items are dropped on the screen, they are active. This shows the user changing one of the supporting arguments (inputs). The impact of that change is shown across the entire system immediately. In this case only Action 1 is impacted.
31. Now the user is interacting with the Action 2 by stimulating on of the inputs.
32. The impact of stimulating this input is displayed immediately
33. Wires define specific functional relationships between information items. First we will show how Action 1 will control the importance of Action 2. Wiring is done with simple drag and drop actions. Here we begin dragging the “modified value” of Action 1 - Start Drag
34. When we drop the mouse on the “connection point” for importance of Action 2, The system automatically rebalances. Note that Action 2 height (importance) was reduced to the “modified value” of Action 1. The modified value of Action 1 is 73.033288 The importance of Action 2 is 73.033288 Drop
35. Now we are going to manipulate one of the inputs to Action 1 and observe the impact on the importance of Action 2.
36. After raising the scroll bar for the second supporting argument (input), the accumulation of all the inputs to Action 1 results in a modified value of 92.83, which is used to control the importance of Action 2 to 92.83.
37. The first wire was used to control the importance of Action 2. Now we want to have Action 1 (modified value), “ contribute to ” how Action 2 is processed. To do this we will drag the modified value of Action 1 … Start Drag
38. …And drop the mouse on one of the arguments, in this case the first supporting argument to Action 2. A new connection is made and the entire system rebalances again. Drop
39. As always, any input can be manipulated manually and the user can “see” how the system responds. Here we will stimulate one of the blocking inputs.
40. The results of increasing the blocking input to Action 2 are immediately visible.
41. The icon to the left of the position bar is a “Threshold”. It can be placed anywhere within the range of the position importance bar. A threshold can be used to trigger events, when the modified value rises above the threshold. Here we are going to drag it up. Start Drag
42. If a wire was tied from this point to another argument, that argument would be set to 100 if the modified value of Action 2 rose above the threshold. Drop
43.
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55. Development Process Tables Code Concept Design And Test KEEL Logic Solution Container & Glue Logic Design Solution Container and Glue Logic Integrated KEEL Solution Wire Glue Logic to KEEL Tables Test
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64. May not be suitable for dynamic, non-linear problem sets. In many areas, reliable “probabilities” may not be available. Maybe Probably Not Determined by Application No Difficult No Human Designer and Statistics Probabilities of Probabilities Bayesian Belief Networks Requires a License to use Fragile / Brittle - Hard to maintain; Does not handle “Surprise” Difficult to Explain Reasoning; Pattern Training Required; Decisions not “Explainable”; Does not handle “Surprise” conditions Weaknesses Yes Maybe Maybe No Interactive Development Yes Probably Not Yes Yes Suitable for Control Determined by Application Worst Determined by Application Determined by Application Performance Best No No No Small Memory Footprint Fully Explainable Somewhat Difficult No Explainable Decisions No No No Major Problem Pattern Training Required Human Designer Human Designer Human Designer Patterns Source of Understanding Dynamic Adjustment to Importance of Data (Genetic) Trial and Error Geometric Fuzzification / Defuzzification Pattern Matching General Concept KEEL AI - Forward / Reverse Chaining Fuzzy Logic Neural Nets Technology Comparison