Keras is a high-level deep learning framework that provides an easy-to-use interface for building, training, and deploying deep learning models. It is written in Python and can run on top of popular deep learning backends like TensorFlow, Theano, and Microsoft Cognitive Toolkit (CNTK). Keras is designed with user-friendliness, modularity, and extensibility in mind, making it a go-to tool for researchers, engineers, and developers exploring artificial intelligence and machine learning.

What is Keras?

Keras simplifies building deep learning models by abstracting the complexities of backend computations. It allows users to focus more on designing and iterating models rather than dealing with the low-level details of tensor operations. Some of its key characteristics include:

• User-Friendly: Offers a clean and intuitive API for fast prototyping.
• Extensibility: Supports custom layers, metrics, and loss functions.
• Cross-Platform Compatibility: Runs seamlessly on CPUs, GPUs, and TPUs.
• Wide Adoption: Used in academic research, industrial applications, and startups worldwide.

Top 10 Use Cases of Keras

1. Image Classification: Keras is widely used for training models that classify images into categories, such as identifying objects in pictures or detecting facial expressions.
2. Natural Language Processing (NLP): Used for tasks like text classification, sentiment analysis, and language translation.
3. Speech Recognition: Enables the development of speech-to-text systems and voice assistants.
4. Recommendation Systems: Powers personalized recommendations, such as those used by e-commerce and streaming platforms.
5. Healthcare Applications: Assists in medical imaging diagnostics, such as detecting anomalies in X-rays or MRIs.
6. Anomaly Detection: Detects fraudulent activities, such as credit card fraud, and irregular patterns in financial transactions.
7. Time Series Analysis: Used for forecasting trends, stock prices, and weather patterns.
8. Autonomous Driving: Facilitates perception and decision-making systems for self-driving cars.
9. Generative Models: Enables the creation of realistic images, videos, and music using GANs (Generative Adversarial Networks).
10. Robotics: Helps robots learn motor skills, object recognition, and navigation.

What are the Features of Keras?

1. Modularity: Components like layers, loss functions, and optimizers are fully modular and easily configurable.
2. Pretrained Models: Provides access to a library of pretrained models such as VGG, ResNet, and Inception for transfer learning.
3. Multiple Backend Support: Works with TensorFlow, Theano, or CNTK for flexibility in deployment.
4. Extensive Documentation: Offers detailed guides and examples for beginners and advanced users.
5. Customizability: Supports building custom neural network architectures and layers.
6. Built-in Support for GPUs: Accelerates model training by utilizing GPU hardware.
7. Integration with Other Libraries: Compatible with NumPy, Pandas, and Matplotlib for preprocessing and visualization.
8. Easy Debugging: Errors are reported with clear and helpful messages, simplifying the debugging process.

How Keras Works and Its Architecture

Keras provides a high-level abstraction for building neural networks. Its architecture consists of the following key components:

1. Models:
   • Sequential API: Allows building models layer-by-layer.
   • Functional API: Facilitates creating complex models with multiple inputs and outputs.
2. Layers: Layers are the building blocks of Keras models and can be stacked to create a neural network.
3. Backend Engine: Keras uses a backend engine (e.g., TensorFlow) to perform numerical computations.
4. Loss Functions: Specifies the objective that the model should optimize.
5. Optimizers: Algorithms like SGD, Adam, and RMSProp adjust model weights to minimize the loss function.
6. Metrics: Evaluate the model’s performance during training and testing.

How to Install Keras

To install Keras, follow these steps:

1.Install a Backend Framework: Keras requires a backend engine. You can install TensorFlow, JAX, or PyTorch. For example, to install TensorFlow, use:

pip install tensorflow

2.Install Keras: Once the backend is installed, install Keras using pip:

pip install keras

3. Verify Installation: To confirm successful installation, run the following in Python:

import keras
print(keras.__version__)

This should display the installed Keras version without errors.

Basic Tutorials of Keras: Getting Started

To get started with Keras, consider the following steps:

1.Import Necessary Libraries:

import keras
from keras.models import Sequential
from keras.layers import Dense

2.Load and Preprocess Data: Keras provides utilities to load datasets like MNIST. Preprocess the data by normalizing and reshaping as required.

3. Build the Model:

model = Sequential()
model.add(Dense(128, activation='relu', input_shape=(input_dim,)))
model.add(Dense(10, activation='softmax'))

4. Compile the Model: Specify the optimizer, loss function, and metrics:

model.compile(optimizer='adam', loss='sparse

The post What is Keras and Use Cases of Keras? appeared first on Artificial Intelligence.

What is Framework?

A framework is a structure or set of rules that provides a foundation for something. In software engineering, a framework is a set of pre-written code that provides the basic structure for an application. Frameworks can be used to speed up the development process and make it easier to create complex applications.

Frameworks are typically associated with a specific programming language. For example, Ruby on Rails is a framework for the Ruby programming language. Django and Flask are two different frameworks for the Python programming language.

Here are some examples of frameworks:

• Laravel: Laravel is a framework for the PHP programming language. It is known for its elegance and expressiveness.

• Spring Boot: Spring Boot is a framework for the Java programming language. It is known for its ease of use and production-ready features.

• Flask: Flask is a microframework for the Python programming language. It is known for its simplicity and flexibility.

• Django: Django is a framework for the Python programming language. It is known for its scalability and security.

• Ruby on Rails: Ruby on Rails is a framework for the Ruby programming language. It is known for its rapid development and easy-to-use syntax.

Why Frameworks used?

Frameworks can be used for a variety of tasks, such as:

• Web development: Frameworks like Django, Ruby on Rails, and Laravel provide pre-built features and functionality to speed up the development of web applications.

• Mobile app development: Frameworks like React Native, Flutter, and Xamarin offer a way to build mobile applications across multiple platforms using a single codebase.

• GUI development: Frameworks such as Qt, Tkinter, and Electron provide tools for creating graphical user interfaces for desktop applications.

• Data analysis and machine learning: Frameworks like TensorFlow, PyTorch, and Scikit-learn offer tools and libraries to build and deploy machine learning models and perform data analysis tasks.

• Testing: Frameworks like Selenium, JUnit, and pytest help automate the testing process for software applications, making it easier to write and execute tests.

• API development: Frameworks like Flask and Express.js provide tools for creating and managing APIs, allowing developers to build robust and scalable web services.

• Game development: Frameworks such as Unity and Unreal Engine help developers create and build interactive and immersive gaming experiences.

• Content management systems: Frameworks like WordPress, Drupal, and Joomla provide a foundation for creating customizable and feature-rich websites and blogs.

• Real-time applications: Frameworks like Socket.io and SignalR enable developers to build real-time applications, such as chat applications, collaborative tools, and multiplayer games.

• Internet of Things (IoT): Frameworks like Arduino, Raspberry Pi, and Node-RED offer tools and libraries to develop IoT applications, allowing devices to interact and communicate with each other.

Purpose of Framework

The purpose of a framework is to provide developers with a structured and comprehensive set of tools, libraries, and methodologies to develop software applications more efficiently. It provides a foundation and predefined structure for building software, allowing developers to focus on the specific features and functionality of their application rather than writing code from scratch.

Some key purposes of using a framework include:

1. Efficiency: Frameworks provide pre-built components and libraries that speed up development time by eliminating the need to write repetitive code. Developers can leverage these pre-existing functions and features to quickly build applications.
2. Consistency: Frameworks often have common standards and conventions that help maintain consistency in coding style and structure across a project or development team. This makes the codebase more maintainable and easier to understand for all team members.
3. Scalability: Frameworks are designed to be modular and extensible, making it easier to add new features and functionalities to an application as it grows. This scalability allows developers to easily accommodate future changes and enhancements.
4. Security: Many frameworks incorporate security best practices and standards to prevent common software vulnerabilities. By following the framework’s guidelines and using its built-in security measures, developers can ensure that their applications are more secure.
5. Community Support: Frameworks often have active and large developer communities that provide support, guidance, and a wealth of resources. This community support can be valuable when developers encounter challenges or need assistance in implementing specific features.
6. Code Reusability: Frameworks encourage code reusability by providing predefined libraries, modules, and components. This allows developers to reuse already implemented functionality, minimizing the need for rewriting code and reducing the potential for errors.

Types of Framework

There are various types of frameworks available, each designed for specific purposes and technologies. Some common types include:

1. Web Frameworks: These frameworks are used for developing web applications and websites. They provide tools and libraries for handling tasks such as routing, session management, and database integration.
2. Mobile Frameworks: Mobile frameworks are used for building mobile applications for platforms such as iOS and Android. They often include features like UI components, device compatibility, and data synchronization.
3. Testing Frameworks: Testing frameworks are used for automating the testing process of software applications. They provide tools for writing test cases, executing tests, and generating reports.
4. UI Frameworks: UI frameworks are focused on user interface development. They provide pre-designed components and templates that developers can use to create visually appealing and responsive interfaces.

Benefits of Framework

Using a framework in software development offers several benefits, including:

1. Productivity: Frameworks provide a foundation of reusable code and libraries, which reduces the amount of time and effort required to build an application from scratch. This allows developers to focus on the specific requirements of their project and accelerate the development process.
2. Consistency: Frameworks enforce a set of rules and best practices, which ensures consistency in the codebase. This makes it easier for developers to understand and maintain the application, even when working in teams or transitioning between projects.
3. Scalability: Frameworks are designed to handle scalability challenges. They offer features like modular architecture, caching mechanisms, and database optimization, which enable applications to handle increasing amounts of data and traffic.
4. Security: Frameworks often include built-in security features and mechanisms, such as encryption, authentication, and input validation. This helps developers protect their applications from common security vulnerabilities and ensures data integrity.

In conclusion, a framework is a powerful tool in software development that provides a structured approach to building applications. It simplifies the development process, improves productivity, ensures consistency, and offers scalability and security benefits. By understanding the concept of framework and exploring its different types and benefits, developers can leverage this tool to create efficient and robust applications.

The post What is Framework and Why Frameworks used? appeared first on Artificial Intelligence.

First let’s go to your laravel project and run this Command on Git Bash Ya TERMINAL

Next step we have to install anhskohbo/no-captcha package for Google reCaptcha code, after install these package we able to generate captcha code in our register and login page. copy below code and paste in your terminal

Next add below code in provider path in config/app.php path

Next Set Google SITE KEY SECRET KEY

Now go to set google secret key and google site key. if you are new user then you have to create from here. go through below link
Please Click Here => https://www.google.com/recaptcha/admin/create

After submit this form you’ll get site key and secret key

Now go to .env file and add this two Code

Next go to Route/web.php and add Auth::routes();

Go to Route/web.php

Next go to Your Controller.php & your function and add this Code

Next go to Your blade.php file and add below script

And last step of the go to Your blade.php file and add google captcha code before the Sing up & Sing In button

Now refresh & c cache, v clear your browser and you can see google captcha code successfully added in your register page.

Now your TERMINAL This Command

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Query 1 => Display total number of row in a table where role id 2 ?

Query 2 => Display row detail which is trip published ?

Query 3 => Display total number of row in a table output 1,5,8…. ?

Query 4 => Display total row detail in a table use modal and table ?

This is modal use

This is table use

Query 5 => Display all Trip detail with image and his Iternaries detail is published ?

Query 6 => Display Single field value whose id is passed in blade file ?

Query 7 => Display Single row using two method ?

Query 8 => Display total number of row where email dharmendra.cotocus@gmail.com ?

Query 9 => Display trip detail with latest and also his iternaries, image which trip is published ?

Query 10 => Display trip detail who is login and also his iternaries, image which trip is publish and permission Approve?

Query 11 => Display trip detail with latest and also his iternaries, image which trip is publish and permission Approved?

The post Basic Query in Laravel PHP Framework appeared first on Artificial Intelligence.

2. After that, also include Accordion‘s CSS and JavaScript file into your web page/app/ blade file.

3. Now, create HTML structure (like below) for your accordion and add your contents in it.

Now is Accordion with Arrow Up & Down is Run

The post How to Create Bootstrap 4 Accordion with Arrow Up & Down in Laravel PHP framework appeared first on Artificial Intelligence.

Medical practitioners have been putting heavy emphasis on the enhancement of precision medicine and inventing a novel and effective cures for complex diseases. A pertinent mention here can be of neurobots that can penetrate the blood-brain barrier to deliver drugs in the infected areas without severe side effects. In recent days, doctors are striving to exhume a framework that may help to accelerate precision medicine and the development of advanced treatments for diseases.

AI, on the other hand, has made several advances in healthcare, transforming the infrastructure to what suits modern-day medical practices.

A study published in Nature Machine Intelligence asserts that the study provides an important framework on machine learning that decodes rules by which target sites can be captured and be kept in bounds. This machine learning framework is also able to identify non-coding nucleotides with strong effects in binding.

The majority of us are aware of the complex eye and brain diseases in humans while the causes of them are unknown still. Over 73% of people, every year, fall victims to such diseases and are subject to death because of a lack of a medical framework that can adeptly deal with such sensitive medical cases. Medical practitioners look forward to high-end technologies such as artificial intelligence and machine learning.

The Objective of the Framework and Understanding the Importance of Transcription Factors

A genome is defined as the complete set of genetic information in a living organism. A genome consists of all the information an organism needs to function in harmony with its surroundings. The genome in a living organism is stored in a long set of molecules known as DNA whereas these molecules are known as molecules.  A human body consists of 23 pairs of chromosomes and roughly 20,500 genes. The activity of genes is controlled by various transcription factors like proteins that have a DNA-binding region. This controls the activity and inactivity of genes. The proteins are responsible for activating and repressing transcription.

Any syndrome or disease such as Rett syndrome or maturity-onset diabetes is birthed by unwanted manipulations and mutations in the transcription repressor. One of the most complex forms of disorder is Fuch’s endothenial corneal dystrophy. The eye disorder is caused by CTG TNR expansion in intron 3 of the TCF 4 transcription factor. This disorder can also induce bipolar disorder in patients. Proper and error-free functioning of transcription factors in the human body is important to keep autoimmune diseases at bay.

Transcription factors are also used in context to diabetes as more than 40% of Americans are diagnosed with diabetes every year. Diabetes stands as the most common cause of visual and muscular impairments. Additionally, it is also used in cancer research. It can play a significant role in cancer eradication and suppression of tumors.

A machine learning framework that can leverage convolutional neural networks and state-of-the-art interpretation in visualizing and interpreting the context features for a binding activity for transcription factors can open a unique dimension in treatment methods of complex disorders.

The post NOVELTY IN AI FRAMEWORK CAN CAUSE NOVELTY IN THERAPEUTICS appeared first on Artificial Intelligence.

Looking for powerful technology for your new project? The right framework makes application development simpler and faster. Your choice of tech stack can also influence the price and future possibilities of improving your business solutions.

You have heard about Python and you think it might be the best language to start your new app with? Here you’ll find some information about the most popular Python-based frameworks.

How to choose the right framework for your project

Surely, you know by now that there are plenty of technologies that could be used for web and mobile app development, creating advanced solutions for your company management and leveraging the newest methods of running a business. Python is a high-level general-purpose programming language, and it has many frameworks designed to overcome different development problems. It can be used in various projects.

But how do you decide which framework is the best for your company? Before you meet with consultants and developers from a software house, you should answer the following questions:

1. How big and complex will your desired business solution be?
2. Does your in-house team have a lot of experience in IT projects, and you’d like to choose your application structure and libraries, or would you rather the developers select it for you?
3. What quality of performance do you expect?
4. What is your preferred time-to-market?
5. What kind of special features do you expect your application will have?

You don’t have to be an expert on IT solutions for business and choose the only framework by yourself. Idego Groupconsultants have many years of experience in analyzing the business needs of small, medium, and large companies and suggesting the right solutions. All you have to do is to tell them what you require and ask about some tech stack that interests you – keep reading to learn about popular Python-based frameworks.

Flask

This is among the most popular Python-based frameworks in 2020. It provides a core set of functionalities: request handling, routing, WSGI compliance, templating, and flexibility. Using it, developers can make their own choice for matters like storage, database interaction, authentication, authorization, security solutions, and many others – as it allows for easy integration of your chosen solutions. The possibility to do so lets you keep your app free of libraries and pieces of code representing functionalities that your business solution doesn’t use at all. Apart from flexibility, you’ll benefit from scalability as Flask enables developers to scale applications easily.

Which projects should it be considered for?

• Web application development
• Building microservices
• MVP development in a short time
• Medium and large scale projects

Pyramid

This full-stack framework provides routing, renderers, and command-line tools for bootstrapping a project and enables the user to choose the libraries, database layer, and templating system. Developers can use a nice, large set of useful plugins for their projects. This may be a good choice if you expect to integrate your application with systems that would not be integrated easily with frameworks such as Django. By developing in Pyramid, developers can code with a minimalistic approach (it is similar to Flask in that regard). There is no need to deal with components that are not of high business value for your company. This results in better performance.

Which projects should it be considered for?

• Large applications
• For exposing existing Python code as a REST API
• Providing the core for web projects to be developed further

Django

Another full-stack, this Python-based framework is known as a great technology for building complex web applications. Often called “the web framework for perfectionists with deadlines”, Django is great for building advanced business products which need to be created in the shortest possible time. It comes with an automatically generated admin interface that makes quick development easier. Furthermore, it offers its object-relational mapper (ORM) for handling databases and standard solutions for authentication and authorization.

Which projects should it be considered for?

• Rapid development
• Small and large projects
• For web applications that will have to deal with high traffic
• For solutions that will contain a lot of content
• For developing API-only backend applications

Choosing the best technology is not as easy as it might seem. Always remember to analyze all your business needs carefully before making a choice and consult with experts.

The post Which Python-based framework will be the best for your next project? appeared first on Artificial Intelligence.

Contrive Datum Insights has published a new statistical data, titled as Data Mining Software Market. The report focuses on the global market from different perspectives, such as scope, prices, and revenue. It throws light on useful aspects by using the primary and secondary research techniques. The research analyst uses market segments, to elaborate the facts. It includes the analysis of the different key factors such as productivity and specifications of year along with different regions such, North America, Latin America, Japan, Europe, China, and India. The trends are analyzed on the basis of economic, socio-economic, political and cultural factors, which helps to shape the business strategies.

This report studies the global Data Mining Software market, and analyzes the leading key players to understand the competition globally. The report elaborates on the of dynamic growth market and is used to analyze the different scenario of the industries. This quantitative data helps to promote a clear vision of all the situations to structure the growth of the Data Mining Software market. It focuses on the statistical data of drivers and opportunities, which gives better insights to develop the businesses. In addition to this, it helps to identify the opportunities in Data Mining Software market.

The following manufacturers are covered in this report: IBM, RapidMiner, GMDH, SAS Institute, Oracle, Apteco, University of Ljubljana, Salford Systems, Lexalytics.

Competition Analysis

The global Data Mining Software market is divided on the basis of domains along with its competitors. Drivers and opportunities are elaborated along with its scope that helps to boosts the performance of the industries. It throws light on different leading key players to recognize the existing outline of Data Mining Software market. This report examines the ups and downs of the leading key players, which helps to maintain proper balance in the framework. Different global regions, such as Germany, South Africa, Asia Pacific, Japan, and China are analyzed for the study of productivity along with its scope. Moreover, this report marks the factors, which are responsible to increase the patrons at domestic as well as global level.

Global Data Mining Software Market Segmentation:
On the Basis of Type: Type 1, Type 2, Type 15
On the Basis of Application: Application 1, Application 2, Application 15

Regions Covered in the Global Data Mining Software Market:
• The Middle East and Africa (GCC Countries and Egypt)
• North America (the United States, Mexico, and Canada)
• South America (Brazil etc.)
• Europe (Turkey, Germany, Russia UK, Italy, France, etc.)
• Asia-Pacific (Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia)

The Data Mining Software market is expected to grow in the upcoming 2020 to 2027 year. Different risks are considered, that helps to evaluate the complexity in the framework. Progress rate of global industries is mentioned to give a clear picture of business approaches. Various factors, which are responsible for the growth of the market are mentioned accurately. It gives a detailed description of drivers and opportunities in Data Mining Software market that helps the consumers and potential customers to get a clear vision and take effective decisions. Different analysis models, such as, Data Mining Software are used to discover the desired data of the target market. In addition to this, it comprises various strategic planning techniques, which promotes the way to define and develop the framework of the industries.

The report’s conclusion leads into the overall scope of the global market with respect to feasibility of investments in various segments of the market, along with a descriptive passage that outlines the feasibility of new projects that might succeed in the global Data Mining Software market in the near future. The report will assist understand the requirements of customers, discover problem areas and possibility to get higher, and help in the basic leadership manner of any organization. It can guarantee the success of your promoting attempt, enables to reveal the client’s competition empowering them to be one level ahead and restriction losses.

Table of Content (TOC):

Chapter 1 Introduction and Overview
Chapter 2 Industry Cost Structure and Economic Impact
Chapter 3 Rising Trends and New Technologies with Major key players
Chapter 4 Global Data Mining Software Market Analysis, Trends, Growth Factor
Chapter 5 Data Mining Software Market Application and Business with Potential Analysis
Chapter 6 Global Data Mining Software Market Segment, Type, Application
Chapter 7 Global Data Mining Software Market Analysis (by Application, Type, End User)
Chapter 8 Major Key Vendors Analysis of Data Mining Software Market
Chapter 9 Development Trend of Analysis
Chapter 10 Conclusion

Contrive Datum Insights (CDI) is a global delivery partner of market intelligence and consulting services to officials at various sectors such as investment, information technology, telecommunication, consumer technology, and manufacturing markets. CDI assists investment communities, business executives and IT professionals to undertake statistics based accurate decisions on technology purchases and advance strong growth tactics to sustain market competitiveness. Comprising of a team size of more than 100 analysts and cumulative market experience of more than 200 years, Contrive Datum Insights guarantees the delivery of industry knowledge combined with global and country level expertise.

The post DATA MINING SOFTWARE MARKET BY TOP MAJOR PLAYERS – IBM, RAPIDMINER, GMDH, SAS INSTITUTE appeared first on Artificial Intelligence.

The Python Web Frameworks Software Market research report presents a comprehensive assessment of the market and contains thoughtful insights, facts, historical data and statistically-supported and industry-validated market data and projections with a suitable set of assumptions and methodology. It provides analysis and information by categories such as market segments, regions, and product type and distribution channels.Top Key Players involved in Python Web Frameworks Software Industry are: Pyramid, TurboGears, jam.py, Django, Web2py, Bottle, ArcGIS for Developers, BlueBream, Tornado, CherryPy, Sanic, Flask, Tornado

A proper understanding of the Python Web Frameworks Software Market dynamics and their inter-relations helps in gauging the performance of the industry. The growth and revenue patterns can be revised and new strategic decisions taken by companies to avoid obstacles and roadblocks. It could also help in changing the patterns using which the market will generate revenues. The analysis includes an assessment of the production chain, supply chain, end user preferences, associated industries, proper availability of resources, and other indexes to help boost revenues.
Global Python Web Frameworks Software market is presented to the readers as a holistic snapshot of the competitive landscape within the given forecast period. It presents a comparative detailed analysis of the all regional and player segments, offering readers a better knowledge of where areas in which they can place their existing resources and gauging the priority of a particular region in order to boost their standing in the global market.

Based on Detailed Regional Analysis, the regional segmentation has been carried out for regions of U.S., Canada, Germany, France, U.K., Italy, Russia, China, Japan, South Korea, Taiwan, Southeast Asia, Mexico, and Brazil, etc. Key regions covered in the report are North America, Europe, Asia-Pacific and Latin America.

The Global Python Web Frameworks Software Market is gaining pace and businesses have started understanding the benefits of analytics in the present day highly dynamic business environment. The market has witnessed several important developments over the past few years, with mounting volumes of business data and the shift from traditional data analysis platforms to self-service business analytics being some of the most prominent ones.

For the future period, sound forecasts on market value and volume are offered for each type and application. In the same period, the report also provides a detailed analysis of market value and consumption for each region. These insights are helpful in devising strategies for the future and take necessary steps. New project investment feasibility analysis and SWOT analysis are offered along with insights on industry barriers. Research findings and conclusions are mentioned at the end.

Reasons

It Provides A Forward-Looking Perspective on Different Factors Driving or Restraining Market Growth.
It Provides A Five-Year Forecast Assessed on The Basis of How the Market Is Predicted to Grow
It Helps in Understanding the Key Product Segments and Their Future.
It Provides Pin Point Analysis of Changing Competition Dynamics and Keeps You Ahead of Competitors.
It Helps in Making Informed Business Decisions by Having Complete Insights of Market and By Making an In-Depth Analysis of Market Segments.
NOTE: Our analysis involves the study of the market taking into consideration the impact of the COVID-19 pandemic. Please get in touch with us to get your hands on an exhaustive coverage of the impact of the current situation on the market. Our expert team of analysts will provide as per report customized to your requirement.

Table of Content:

1. Python Web Frameworks Software Market Overview
2. Market Competition by Manufacturers
3. Production and Capacity by Region
4. Global Python Web Frameworks Software Consumption by Regions
5. Python Web Frameworks Software Production, Revenue, Price Trend by Type
6. Global Python Web Frameworks Software Market Analysis by Application
7. Company Profiles and Key Figures in Python Web Frameworks Software Business
8. Python Web Frameworks Software Manufacturing Cost Analysis
9. Marketing Channel, Distributors and Customers
10. Market Dynamics
11. Production and Supply Forecast
12. Consumption and Demand Forecast
13. Forecast by Type and by Application (2020-2025)
14. Research Finding and Conclusion
15. Methodology and Data Source

Big Market Research has a range of research reports from various publishers across the world. Our database of reports of various market categories and sub-categories would help to find the exact report you may be looking for.

We are instrumental in providing quantitative and qualitative insights on your area of interest by bringing reports from various publishers at one place to save your time and money. A lot of organizations across the world are gaining profits and great benefits from information gained through reports sourced by us.

The post GLOBAL PYTHON INTEGRATED DEVELOPMENT ENVIRONMENT (IDE) SOFTWARE INDUSTRY ANALYSIS, SIZE, SHARE, GROWTH, TRENDS, AND FORECAST 2020-2025X0PA AI integrates its new AI-enabled assessment & interview platform with Microsoft Teams appeared first on Artificial Intelligence.

The Internet of Things (IoT) is growing in technical, social, and economic significance. ENISA defines the increasingly complex IoT systems as “cyber-physical ecosystem[s] of interconnected sensors and actuators, which enables intelligent decision making.” These technologies collect, exchange and process data in order to dynamically adapt to a specific context, transforming businesses and the way we live.

Nevertheless, IoT poses some very important safety and security challenges that need to be addressed for IoT to reach its full potential. As we become increasingly reliant on intelligent, interconnected devices in every aspect of our lives, the billions of “things” can be the target of intrusions and interferences that could dramatically jeopardize personal privacy and threaten public safety.

Therefore, the main areas of concern regarding IoT that require to be addressed are security and the paramount need for safety since both issues are tightly related to the physical world. The protection of IoT deployments depends on protection for all of the systems involved: the devices themselves, cloud backend and services, applications, maintenance and diagnostic tools, etc.

The scale and the heterogeneity of IoT implementations present threats and risks that are manifold and are evolving rapidly. The IoT threat landscape is extremely wide, especially if we consider the impact that attacks may have on citizens’ health and safety. More specifically, IoT devices can be used as an attack vector against critical infrastructures, causing disruptions or, even worse, causing damage that could endanger a country’s social tissue. IoT also presents a great risk to privacy as it is heavily based on the gathering, exchange and processing of large amounts of data from a variety of sources. This sometimes includes sensitive data, which is collected and processed using methods that may be unclear to the users.

Due to the characteristics of IoT deployments, new security challenges are emerging. Applying horizontal security controls to such a diverse ecosystem can be a complex and daunting task. For each IoT environment (e.g. Smart Homes, Smart Cities, Smart Cars or ICS/SCADA), it is necessary to carry out a risk assessment to determine the threats that can affect the different assets, define the plausible attack scenarios, and put them in the context of the IoT service to figure out which hazards are critical or not and which ones can be mitigated.

Beyond technical security measures, the adoption of IoT has raised many new legal, policy and regulatory challenges which amplify the technical challenges. The rapid change in IoT technology has forced legislators to adapt to the ever-changing environment. For example, during the last years, the European Commission has been working to facilitate the implementation of IoT in Europe by adopting a set of supporting policy actions and launching a series of relevant initiatives. The goal is to build greater EU resilience to cyber-attacks, improve detection mechanisms and strengthen international cooperation. For instance, the EU Cybersecurity Strategy encourages the adoption of “security by design” through the whole lifecycle of IoT devices. On the other side of the Atlantic, the “Internet of Things (IoT) Cybersecurity Improvement Act of 2019” seeks “[t]o leverage Federal Government procurement power to encourage increased cybersecurity for Internet of Things devices.”

Furthermore, since IoT solutions are developed with specific technologies and focus on specific applications, they lack standardization, which results in fragmented and heterogeneous architectures. When developing the Baseline Security Requirements for IoT, ENISA identified and studies manifold IoT architectures from agencies such as the European Commission Alliance for IoT Innovation to NIST, ITU, ISO, ISACA, IEEE and others.

These challenges need to be addressed to ensure user trust and confidence in the Internet, connected devices, and related services. It is apparent that organizations need clear guidance to identify appropriate security controls and allocate them to specific components within their system. Under this scope, NIST has developed NISTIR 8228, Considerations for Managing Internet of Things (IoT) Cybersecurity and Privacy Risks, while ENISA published the Baseline Security Recommendations for IoT. In tandem with these agencies, the Cloud Security Alliance (CSA) published in 2019 its IoT Security Controls Framework and its accompanying Guide.

The CSA IoT Security Controls Framework introduces the base-level security controls required to mitigate many of the risks associated with an IoT system operating in a range of threat environments. Created by the CSA IoT Working Group, the framework together with its companion piece, the Guide to the CSA IoT Security Controls Framework, provide organizations with the context in which to evaluate and implement an enterprise IoT system that incorporates multiple types of connected devices, cloud services, and networking technologies.

While the framework helps users identify appropriate security controls and allocate them to specific components within their IoT system, the Guide to the IoT Security Controls Framework provides instructions for using the companion CSA IoT Security Controls Framework spreadsheet. This guide explains how to use the framework to evaluate and implement an IoT system for your organization by providing a column by column description and explanation.

Utilizing the framework, user owners will assign system classification based on the value of the data being stored and processed and the potential impact of various types of physical security threats. Regardless of the value assigned, the framework has utility across numerous IoT domains from systems processing only “low-value” data with limited impact potential to highly sensitive systems that support critical services.

The figure below details the flow that users of the CSA IoT Security Controls Framework should follow as they assess and then implement security controls for their unique environment. The circled letters in this illustration correspond to columns in the framework.

According to the Guide, the first step before using the CSA Framework is to review two U.S. Department of Commerce publications: “Standards for Security Categorization of Federal Information and Information Systems” (FIPS 199) and “Minimum Security Requirements for Federal Information and Information Systems” (FIPS 200). FIPS 199 and 200 categorize risk impact levels as Low, Moderate, or High in three areas: Confidentiality, Integrity and Availability, the golden CIA triad.

These publications will assist in determining the CIA impact level pertinent to an organization’s environment. When these risk impact levels have been determined, the IoT Security Controls Framework can be used to tailor security controls to the organization’s systemic environment.

The IoT Security Controls Framework is a great resource for designers and developers who are tasked with creating secure IoT systems and other evaluators of IoT systems. Designers and developers can use this tool to continually evaluate the security of their implementation as they progress through the development life cycle. The tool offers a holistic evaluation of an IoT system to ensure it meets industry-specified best practices.

Tripwire supports manufacturers of connected IoT devices and organizations that utilize them by providing rigorous security assessments. Tripwire’s device testing approach includes identifying security risks and vulnerabilities that may exist in the physical construction of the device and its network interfaces. You can learn more by downloading this solution brief.

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