artificial intelligence Archives

TECHNOLOGYJune 19, 2022July 14, 2022 by Sudarshan Gupta

What is a blockchain in Artificial intelligence.

Introduction blockchain definitions and types
How can blockchain be used in different applications?
Top 5 Examples of How Blockchain Technology is Transforming Business.
Blockchain uses cryptocurrency to revolutionize smart contracts, financial services, games, supply chain, and domain name industries.
What to Use Blockchain Wallet for Security.
How to Mine Blockchain Machine A Step-by-Step Guide.
The Future of Technology Deep Study of Blockchain and Cryptocurrency

Defining blockchain and AI

Blockchain

Blockchain is a common, changeless record that gives a prompt, shared and straightforward trade of scrambled information at the same time to numerous gatherings as they start and complete exchanges. A blockchain organization can follow orders, instalments, records, creation, and substantially more. Since permissioned individuals share a solitary perspective on reality, they gain certainty and entrust in their exchanges with different organizations, as well as new efficiencies and valuable open doors.

AI

Man-made brainpower use PCs, information and now and again machines to copy the critical thinking and dynamic capacities of the human psyche. It likewise includes the sub-fields of AI and profound realizing, which use AI calculations prepared on information to make forecasts or characterizations, and get more brilliant after some time. The advantages of AI incorporate computerization of tedious errands, further developed independent direction and a superior client experience.

Combined values of blockchain and AI

Authenticity
Blockchain’s digital record offers insight into the framework behind
AI and the provenance of the data it is using, addressing the challenge
of explainable AI, This helps improve trust in data integrity and, by extension,
in the recommendations that AI provides, Using blockchain to store and
distribute AI models provides an audit trail, and pairing blockchain and AI can
enhance data security.

Augmentation
AI can rapidly and comprehensively read, understand and correlate data
at incredible speed, bringing a new level of intelligence to blockchain-based
business networks. By providing access to large volumes of data from
within and outside of the organization, blockchain helps AI scale to
provide more actionable insights, manage data usage and model
sharing, and creating a trustworthy and transparent data economy.

Automation
AI, automation and blockchain can bring new value to business
processes that span multiple parties — removing friction, adding,
speed and increasing efficiency. For example, AI models embedded
in smart contracts executed on a blockchain can recommend
expired products to recall, execute transactions — such as re-orders,
payments, or stock purchases based on set thresholds and events
resolve disputes, and select the most sustainable shipping method. (Blockchain)

TECHNOLOGYMarch 23, 2022July 23, 2022 by Sudarshan Gupta

3D printing and modeling’s role artificial intelligence.

contents

• What is a technology?
• Top 20 technology developed future.
• What is a artificial intelligence and type?
• Artificial intelligence use tools and applications.
• How does work artificial intelligence?
• 12 examples for a artificial intelligence.
• How to use artificial intelligence in our daily life?
• Top 9 highest paid artificial intelligence company

[A]. WHAT ARE 3D MODELING AND PRINTING?

The term 3D printing or three-layered printing is a type of added substance producing innovation where a three-layered object is made from progressive layers of material. Articles can be made without the requirement for complex costly shapes or get together with different parts.

[B]. WHAT IS ARTIFICIAL INTELLIGENCE IN PRINTING?

With the utilization of AI, printing associations can computerize their activities, kill bottlenecks and finish work quicker. Blunder observing: AI print innovation can permit printers to screen themselves and make continuous changes by processes for mistakes like the paper arrangement and picture quality.

[C]. 3D PRINTING A PART OF ARTIFICIAL INTELLIGENCE?

New magnificent advancements are currently accessible, like Artificial Intelligence. 3D printing combined with man-made consciousness is empowering very interesting uses of added substance production.

[D]. WHAT ARE 3D PRINTING MODELS?

Picture result for 3d printing man-made brainpower models.
[7 Examples of 3D Printing in the World Today]
(1). Prosthetic Limbs and Body Parts. NeoMetrix 3D Prints Custom Prosthetics for Marathon Runner.
(2). Homes and Buildings.
(3). Food.
(4). Guns and Military.
(5). Fabricating.
(6). Instruments.
(7). Anything You Can Imagine.

[E]. ARTIFICIAL INTELLIGENCE AND 3D PRINTING: FUTURE OF MANUFACTURING.

It is now, that AI administrations are important for our future and permit us to make previously refined hardware. Did you have any idea that 3D printing innovation can likewise make AI more valuable? 3D printing is a game-changing innovation that is continually advancing and tracking down better approaches to work on oneself. It currently has new astonishing advances, like Artificial Intelligence. The mix of computerized reasoning and 3D printing is prompting new intriguing uses of added substance fabricating innovation.

Artificial intelligence in 3D programming
To 3D print your undertaking, you should chip away at your 3D model utilizing CAD programming. Simulated intelligence is progressively being joined into these 3D displaying projects to assist you with making the best 3D printable models.

SolidWorks as of late revealed SolidWorksEdgine, an extraordinary device for utilizing AI, fostering an Autodesk DreamCatcher device that allows you to deal with proliferation plans. Many plans can be produced in only a couple of hours utilizing this program.
This is an incredible method for creating devices that can identify abandons inside the 3D model, making it unfeasible. This utilization of AI is the ideal answer for starting your 3D printing project with feasible 3D models.
Because of AI detecting the blunder.

Man-made brainpower can assist with further developing the printing system and forestall blunders. This will continuously be there to further develop the added substance producing interaction to get the most ideal parts.
General Electric’s GE Labs in New York have started creating PC vision innovation that permits minuscule cracks to be identified in machine parts. Man-made intelligence and AI can likewise be utilized in a 3D printer after the printing system. This permits you to straightforwardly recognize issues and work on the quality control of 3D printed parts!
We can go much further and arrive at constant control! This essentially lessens the exercise in futility and materials. Assuming we realize that 3D printing is an efficient assembling innovation, making upgrades utilizing AI will turn out to be much more impressive.

Computer-based intelligence, part of the processing plant of things to come?
Man-made reasoning can be consolidated into the 3D printing plant and may change the eventual fate of assembling.
Man-made intelligence Build is a London-based organization that has created mechanized AI-based 3D printing innovation, with a shrewd extruder, to distinguish any issues. It can likewise settle on independent choices. It is a huge scope 3D printing stage utilizing modern robots and AI programming.

The chance of independent 3D printing production lines is presently a reality and it will be efficient unrest. Organizations’ time and assets might be centred around different undertakings. The utilization of mechanical and programmed weapons, to settle on its own choice and to print feasible parts, without any issues, is a genuine insurgency.
Computer-based intelligence Build is dealing with machines that can see, make and gain from their missteps and make truly complex constructions! This assists added substance producing advancements in going further. This isn’t whenever we first find out about AI Build. The beginning of 2016 has previously divulged a great 3D machine with hearty cameras on robots utilizing Machine Vision calculations.

“The objective is to make an input circle between the actual climate and the computerized climate,” made sense of AI Build’s CEO, Dugan Kam. Utilizing this framework, the machine can see absconds and supplant it with extra layers.
Computer-based intelligence and 3D printing have an extraordinary future together. 3D printing innovation can likewise be improved, and we can say that the eventual fate of 3D printing processing plants is truly encouraging. Printing processes are more effective and take less time, with an incredible decrease in issues.

Would you like to peruse more around 3D Printing and Artificial Intelligence? Look at our blog entry about the European Space Agency, which has chosen to print 3D prints of space rocks from the planetary group utilizing Artificial Intelligence.

LINK = More about information [AI] technology.

TECHNOLOGYMarch 21, 2022January 13, 2023 by Sudarshan Gupta

What is a role python in artificial intelligence?

CONTENTS

Definition (AI)

Artificial intelligence (AI) is a branch of computer science that deals with creating machines or computer systems that can perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. AI systems can be trained using large sets of data and machine learning algorithms to make predictions, identify patterns, and make decisions without human intervention. There are several subfields of AI, including natural language processing, computer vision, and machine learning. The ultimate goal of AI research is to create machines that can think and learn like humans.

Role python in artificial intelligence

Python is a popular programming language for artificial intelligence (AI) and machine learning (ML) projects due to its simplicity, readability, and large community of developers.

One of the main reasons for Python’s popularity in AI and ML is the availability of a wide variety of libraries and frameworks that make it easy to build and train machine learning models. Some popular Python libraries for AI and ML include Tensor Flow, Keras, PyTorch, Scikit-learn, and Pandas. These libraries provide pre-built functions and modules that can be used to implement common machine learning algorithms, such as linear regression, decision trees, and neural networks, without having to write the underlying code from scratch.

Python is also widely used in natural language processing (NLP) tasks such as language translation, speech recognition, and sentiment analysis. It has powerful libraries like NLTK, spaCy and Gensim that are useful for text preprocessing, tokenization, stemming, and other NLP-related tasks.

Python’s simplicity and readability make it an ideal language for prototyping and experimenting with new ideas. This makes it easier for data scientists and researchers to quickly test new algorithms and models, and iterate on their designs.

Additionally, Python has a large and active community of developers who contribute to the development of libraries and frameworks for AI and ML, as well as providing support and troubleshooting help to users.

In summary, Python’s ease of use, wide variety of libraries and frameworks, and large community of developers make it an ideal choice for building and implementing AI and ML projects.

TECHNOLOGYMarch 19, 2022January 13, 2023 by Sudarshan Gupta

Artificial intelligence projects ideas.

CONTENTS

Definition

Projects ideas

1). Image classification – Develop a machine learning model that can accurately classify images into different categories such as animals, objects, and scenes.

2). Language translation – Create a neural network that can translate text from one language to another.

3). Recommender system – Build a system that can suggest products or content to users based on their past interactions.

4). Speech recognition – Develop an AI system that can transcribe spoken words into written text.

5). Self-driving car simulation – Use reinforcement learning to train a model that can control a virtual self-driving car.

6). Sentiment analysis – Train a model to analyze text data and determine the sentiment (positive, negative, neutral) of the text.

7). Game AI – Develop AI agents that can play games like chess, Go, or poker at a high level.

8). Generative art – Use generative models to create original artwork.

9). Robotics – Use AI to control and program physical robots.

10). Healthcare – Develop AI-powered tools to assist with diagnostics and treatment planning in the healthcare industry.

TECHNOLOGYMarch 18, 2022January 11, 2023 by Sudarshan Gupta

How does it work artificial intelligence.

CONTENTS

What is a artificial intelligence [AI]

Simulated intelligence signifies “man-made reasoning” and we use it to depict any time a PC accomplishes something that would require the mental prowess of a human – or anything that emulates human insight, however, you need to think about it. Artificial intelligence in promotion is now common, and you are likely to collaborate with AI consistently. Here are a few different ways you connect with man-made reasoning

Artificial intelligence (AI) is a broad field that encompasses many different techniques for building systems that can perform tasks that typically require human intelligence. Some of the most widely used techniques in AI include machine learning, natural language processing, computer vision, and robotics.

At a high level, most AI systems work by taking in data, processing it in some way, and then making a prediction or taking an action based on that data. Machine learning, which is a subfield of AI, is the most widely used technique for building systems that can learn from data.

The process of building a machine learning model typically involves training it on a large dataset of example inputs and outputs. Once the model is trained, it can be used to make predictions or take actions on new, unseen data. There are multiple types of ML models like supervised, unsupervised, semi-supervised and reinforced, the choice of model depends on the data and the problem you are trying to solve.

Deep learning, which is a subset of machine learning, is a technique that uses artificial neural networks with many layers to analyze and understand complex data such as images, videos, and audio. Deep learning models have achieved state-of-the-art performance on a wide range of tasks, including image classification, natural language processing, and game-playing.

In summary, AI systems are using techniques such as machine learning and deep learning to learn from data and then use what they have learned to make predictions or take actions.

TECHNOLOGYMarch 17, 2022January 11, 2023 by Sudarshan Gupta

How to use artificial intelligence in our daily life?

CONTENTS

There are many ways that artificial intelligence (AI) is being used in everyday life. Some examples include:

1). Virtual personal assistants, such as Apple’s Siri and Amazon’s Alexa, use natural language processing to understand and respond to voice commands.

2). Smart home devices, such as Google Nest and Amazon Echo can be controlled using voice commands and can also integrate with other devices to automate various tasks.

3). Recommender systems, which use machine learning algorithms to suggest products or content that a user may be interested in, based on their previous browsing or purchase history.

4). Image and speech recognition, which are used in applications such as security systems, mobile device cameras, and voice-controlled virtual assistants.

5). Automated customer service chatbots, which use natural language processing to understand and respond to customer inquiries in real time.

6). Self-driving cars which see AI and machine learning to sense the environment and make decisions. Predictive maintenance of machines and equipment which uses AI tequipmentnsor data and predicts when maintenance is needed.

7). Personalized health care using AI for early disease detection, drug discovery and personalized treatment.

8). These are just a few examples of how AI is being used in everyday life. AI technology is continually evolving and new applications are being developed all the time.

9). Fraud detection in banking and financial systems, which uses AI to detect patterns and anomalies in transactions that might indicate fraudulent activity.

10). Marketing and advertising, which uses AI to personalize and target advertising content to specific groups of users.

11). Manufacturing, which uses AI to optimize production processes and improve the efficiency of factory operations.

12). Supply chain management, which uses AI to optimize logistics, predict demand and forecast inventory.

13). Language translation, which uses AI to accurately translate written and spoken words in different languages.

14). Agriculture, uses AI for precision farming to optimize crop yields and to predict crop diseases and pests.

15). Educational technology, AI-powered e-learning tools and platforms that personalize instruction and provide students with personalized learning experiences.

AI systems are integrated with user-facing applications to make it as seamless and easy to use as possible, and also they can be integrated with back-end systems to optimize decision-making. AI is not just for big companies, small businesses can also benefit from AI by using pre-trained models or APIs that are easy to integrate into their workflows.

TECHNOLOGYMarch 15, 2022January 11, 2023 by Sudarshan Gupta

Which companies are involved in Artificial Intelligence?

CONTENTS

Many companies from a variety of industries are involved in artificial intelligence (AI). Some of the major tech companies that are investing in and developing AI include Google, Microsoft, Facebook, Amazon, IBM, and Apple. Other companies in industries such as healthcare, finance, and transportation are also investing in AI and using the technology in various ways.
These companies are involved in a wide range of AI-related activities, such as developing self-driving cars, building virtual assistants, and creating intelligent machines that can process natural language. Additionally, many startups and smaller companies are also focused on developing AI technology, particularly in niche areas like healthcare, finance, and manufacturing.

Alphabet (Google):

Alphabet is the parent company of Google, one of the largest technology companies in the world. Google’s research in AI is wide-ranging, but it is particularly focused on areas like natural language processing, computer vision, and self-driving cars. The company also uses AI in many of its products, including search, maps, and YouTube.

Amazon:

Amazon is one of the largest e-commerce companies in the world and it uses AI in many aspects of its business. For example, it uses AI for things like personalized product recommendations, pricing optimization, and in its logistics and supply chain operations. The company also offers cloud-based AI services through its Amazon Web Services (AWS) platform.

Apple:

Apple designs and develops consumer electronics, computer software, and online services. It uses AI for a range of product features that enhance user experience and the Siri voice assistant. Some AI technology is also used for privacy purposes

Facebook:

Facebook is a social networking company that uses AI for a variety of purposes, including image and video understanding, natural language processing, and personalized content recommendations. The company also uses AI to help keep its platform safe and to fight misinformation.

Microsoft:

Microsoft is a technology company that produces and sells a wide range of products and services, including operating systems, software, and hardware. The company uses AI in many of its products, including its Azure cloud platform, the Xbox gaming console, and its Office productivity suite. Additionally, the company has a strong research arm that focuses on developing cutting-edge AI technologies.

IBM:

IBM is a technology and consulting company that has been involved in AI research for decades. IBM is known for its Watson AI platform, which is capable of natural language processing and machine learning. IBM’s research in AI is focused on areas like healthcare, finance, and the internet of things.

NVIDIA:

NVIDIA is a technology company that designs and develops graphic processing units (GPUs) and AI-related software. The company’s GPUs are widely used in data centres, where they are used for tasks like deep learning and training machine learning models. NVIDIA also sells AI development tools and platforms for self-driving cars.

Open AI:

OpenAI is a research company that is focused on developing advanced AI technologies, such as deep learning, reinforcement learning, and natural language processing. The company is also known for developing and open-sourcing many of its AI models, which allows other researchers and developers to use and build upon its work.

Intel:

Intel is a technology company that designs and manufactures microprocessors, which are the brains of computers. The company uses AI for various products and services, such as edge devices, and the IoT. Additionally, it offers AI-based tools and services for data centres, 5G networks and IoT.

Baidu:

Baidu is a Chinese multinational technology company specializing in Internet-related services and products. Baidu is a leading player in AI in China and has developed several products and services that use the technology, such as a facial recognition platform, a voice assistant, and a self-driving car platform. AI

TECHNOLOGYMarch 15, 2022January 11, 2023 by Sudarshan Gupta

Top 9 highest paid artificial intelligence company.

CONTENTS

It is difficult to provide a definitive list of the top 9 highest-paid (AI) companies, as the revenue and financial performance of companies can vary greatly depending on a variety of factors such as the sector they operate in, their size, and the stage of their development. However, here are some of the major companies in the AI industry that are known to be generating significant revenue:

Alphabet (Google):

Google is one of the largest technology companies in the world, and it generates a significant amount of revenue from its AI-powered products and services, such as search and advertising.

Amazon:

Amazon’s retail and cloud computing businesses are both heavily reliant on AI, and the company generates billions of dollars in revenue from these areas.

Microsoft:

Microsoft uses AI in many of its products and services, including Azure, its cloud computing platform, and Office 365.

IBM:

IBM’s Watson AI platform and related services generate significant revenue for the company, particularly in industries such as healthcare and finance.

NVIDIA:

NVIDIA designs and develops GPUs that are widely used in data centres, where they are centred for tasks like deep learning and training machine learning models, and generates a significant amount of revenue from its AI-related products and services.

Intel:

Intel is a technology company that designs and manufactures microprocessors, which are the brains of computers. They offer AI-based tools and services for data centres, and 5G networks and Icentre generates significant revenue from its AI-related product and services.

Salesforce:

Salesforce provides customer relationship management software and generates significant revenue from its Einstein AI platform and related services.

Uber:

Uber uses AI in its ride-hailing service to optimize routes and predict demand, generating significant agenerating revenue.

Baidu:

Baidu is a Chinese multinational technology company that specializes in Internet-related services and products, Baidu generates significant revenue from its AI-powered products and services, such as its search engine, maps, and self-driving car platform.

It’s worth noting that these are just a few examples of companies that are generating significant revenue from AI, and many other companies in various sectors also generate significant revenue from AI-related products and services.

TECHNOLOGYMarch 14, 2022January 10, 2023 by Sudarshan Gupta

Artificial intelligence use tools and applications.

CONTENTS

Many different tools and applications are used in the field of artificial intelligence (AI). Some of the most popular ones include:

Machine learning libraries:
There are many libraries and frameworks available that make it easy to implement machine learning algorithms, such as Tensor Flow, Py Torch, and sci-kit-learn.

Neural network libraries:
These libraries provide tools for creating and training neural networks, such as Keras and PyTorch.

Data visualization:
Tools such as Matplotlib and Seaborn are often used to visualize and explore data sets.

Data cleaning and preprocessing:
Tools such as Pandas and OpenRefine are used to clean and preprocess data sets before they are used to train machine learning models.

Big data tools:
When working with large data sets, tools such as Apache Hadoop and Apache Spark are often used to manage and process the data.

Cloud computing:
AI often requires a lot of computational resources, cloud providers such as Amazon Web Services (AWS), Google Cloud, and Microsoft Azure provides powerful computing resources on demand, making it more accessible to train and deploy AI models.

Natural Language Processing (NLP):
Some various libraries and frameworks are available to perform NLP tasks such as spaCy, NLTK and Hugging Face’s transformers.

Anomaly detection:
Anomaly detection is a technique to identify outliers, unusual or abnormal outliers Mahout and PyOD are some of the popular libraries.

Computer Vision:
OpenCV and image are some of the most popular libraries for computer vision tasks, such as image recognition and object detection.

These are just a few examples of the many tools and applications that are available for working with AI. The choice of which tools to use will depend on the specific task you are working on and your personal preferences.

TECHNOLOGYMarch 13, 2022January 10, 2023 by Sudarshan Gupta

How to learn artificial intelligence.

CONTACTS

Learning artificial intelligence (AI)

Learning artificial intelligence (AI) requires a solid foundation in computer science and mathematics, as well as some specific knowledge of AI algorithms and techniques. Here are a few steps you can take to start learning AI:

Learn programming:
To work with AI, you will need to know how to program. Python is a popular language for AI because of its simplicity and the abundance of powerful libraries for machine learning and neural networks.

Learn the basics of statistics and probability:
AI relies heavily on probability and statistics, so it’s important to have a strong understanding of these concepts.

Learn about the different types of AI and their applications:
Understanding the different types of AI, such as supervised learning, unsupervised learning, and reinforcement learning, and the problems they are typically used to solve will give you a good foundation for further study.

Learn machine learning:
Machine learning is a subfield of AI that focuses on creating systems that can learn from data. You’ll learn about different algorithms and techniques for creating machine learning machine learning to train and evaluate them.

Learn about neural networks:
Neural networks are a type of machine learning model that are inspired by the structure and function of the human brain. They are particularly powerful for tasks such as image recognition and natural language processing.

Keep yourself updated:
AI is an active research area and new advancements and concepts are being published continuously, so it’s important to keep yourself updated by reading research papers, following important researchers and keep practising.

There are many resources available for learning AI, including online courses, tutorials, and textbooks. Some websites such as Coursera, and edX Udacity offer AI and Machine learning courses from top institutions. Also, Kaggle and Open AI’s GPT-3 playground are great places to practice and improve your skills.

TECHNOLOGYMarch 12, 2022January 10, 2023 by Sudarshan Gupta

What is a artificial intelligence and type?

CONTACTS

Introduction

Artificial intelligence (AI) is the simulation of human intelligence processes by computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using the rules to reach approximate or definite conclusions), and self-correction.

There are several different types of AI, including

Reactive machines:
These are the simplest type of AI systems, which can only react to the environment and have no memory. They don’t use past experiences to inform current decisions.

Limited memory:
These systems have a limited memory that allows them to use past experiences to inform current decisions. Examples of this type of AI include self-driving cars, which need to remember the previous few moments in Ordertocisions about braking and turning.

Theory of mind:
This type of AI is characterized by the ability to understand mental states, such as beliefs, intentions, and desires in both themselves and others.

Self-aware:
This type of AI is characterized by a sense of consciousness and the ability to have subjective experiences. This is currently a topic of much research, but self-aware AI does not currently exist.

Narrow AI:
Those AI systems that are designed and trained for a specific task or a specific set of tasks. The most common AI applications like Siri, Alexa, Google Assistant, and etc.

General AI:
A General AI is an AI that can perform any intellectual task that a human being can, it can perform any cognitive task, not just specific ones. This technology is not yet available, but it is the goal of many researchers in the field of AI.

All current AI applications fall under Narrow AI, while the other type mentioned on the list is more on the theoretical and future research area. AI

Contents

Defining blockchain and AI

Blockchain

AI

Combined values of blockchain and AI

[A]. WHAT ARE 3D MODELING AND PRINTING?

[B]. WHAT IS ARTIFICIAL INTELLIGENCE IN PRINTING?

[C]. 3D PRINTING A PART OF ARTIFICIAL INTELLIGENCE?

[D]. WHAT ARE 3D PRINTING MODELS?

[E]. ARTIFICIAL INTELLIGENCE AND 3D PRINTING: FUTURE OF MANUFACTURING.

Definition (AI)

Role python in artificial intelligence

Definition

Projects ideas

What is a artificial intelligence [AI]

There are many ways that artificial intelligence (AI) is being used in everyday life. Some examples include:

Many different tools and applications are used in the field of artificial intelligence (AI). Some of the most popular ones include:

CONTACTS

Learning artificial intelligence (AI)

CONTACTS

Introduction

There are several different types of AI, including