Wednesday 25 May 2022

Artificial Intelligence Examples-Quick View

Are you curious about Artificial Intelligence Examples? If you answered yes, then this article is for you. 

We’ll go over some Artificial Intelligence instances here. So, spend a few minutes reading this article to learn everything there is to know about Artificial Intelligence Examples.

What are some examples of artificial intelligence?

Before going on to examples of artificial intelligence. To begin, you should understand what Artificial Intelligence is.

Let’s begin by defining Artificial Intelligence.

What is the definition of AI?

What do you comprehend by “Artificial Intelligence,” as the term suggests?

It refers to artificial, Right?. Let’s take a closer look at it.

What exactly do you mean by “artificial”?

Artificial means are not anything that belongs to humans.

What exactly do you mean by “intelligence”?

Intelligence is defined as the ability to think, learn, and comprehend.

Artificial intelligence does, in fact, make machines as intelligent as humans. Artificial Intelligence’s major goal is to make machines as intelligent and considerate as humans.

Artificial intelligence (AI) is a vast field of computer science. AI enables machines to imitate human behavior.

Artificial intelligence empowers robots to the point where they can make decisions for themselves. AI empowers machines with common sense, logic, and decision-making abilities.

Robots employ artificial intelligence to mimic human behavior.

What are some examples of artificial intelligence?

However, AI is not just for robotics. Artificial Intelligence is being used in almost every industry. In the next section, We’ll cover AI applications.

History of Artificial Intelligence.

What are some examples of artificial intelligence?

Artificial Intelligence, as most of us believe, is the most recent technology. However, did you know that it was invented in the 1950s?

We’ll talk about how Artificial Intelligence has evolved over time. This section can be skipped if you are not interested in the history of AI.

  1. Alan Turing proposed the Turing Test in 1950. Isaac Asimov proposed the Three Laws of Robotics in the same year, 1950.

2. The first AI program was written in 1951.

3. The first self-learning game-playing program was developed in 1955.

4. The MIT AI Lab was founded in 1959.

5. The first robot was introduced to the GM assembly line in 1961.

6. They watched the first demonstration of an AI program that understood normal language in 1964.

7. The first chatbot, “Eliza,” was created in 1965.

8. Stanford AI Lab produced the first autonomous automobile in 1974.

9. Carnegie Mellon University developed the first neural network-based autonomous car in 1989.

10. At chess, IBM Deep Blue defeated Garry Kasparov in 1997.

11. Sony released AIBO in 1999. The MIT AI Lab demonstrated the first emotional AI in the same year.

12. Google began developing self-driving cars in 2009.

13. Narrative Science AI exhibited its report-writing abilities in 2010.

14. Siri, Google Now, and Cortana gained popularity in 2011.

15. Elon Musk and others announced a $1 billion gift to Open AI in 2015.

16. The Center for Human-Compatible Artificial Intelligence was established at UC Berkley in 2016.

17. Google released “Duplex” in 2018. Duplex is a digital personal assistant. It’s an artificial intelligence program.

As we’ve seen, AI isn’t a new concept. Year after year, it expands.

Let’s look at how Artificial Intelligence works now.

Are you curious about how AI works?

AI helps machines to learn, think, and make decisions, as we mentioned in the preceding section. So, how do computers learn?

As a result, Machine Learning enters the scene. Artificial Intelligence includes the subset of Machine Learning. There are numerous algorithms in Machine Learning.

Machine learning is the process of using various algorithms to learn from training data. Machines can predict or make decisions after being trained.

There are three types of learning in machine learning:

  1. Learning under supervision.
  2. Learning without supervision.
  3. Learning by reinforcement.

Learning is used to solve problems.

Top 10 Artificial Intelligence Case Studies

Are you interested in learning more about Artificial Intelligence Examples?

Let’s look at the Top 10 Artificial Intelligence Examples.

1. Autonomous Vehicles

Artificial intelligence is exemplified by self-driving cars. There is no need for a driver in self-driving cars. The automobile is well-versed in artificial intelligence.

You only need to enter your destination in self-driving automobiles. You don’t have to give any specific instructions, such as how to use a break or when to stop.

These smart automobiles identify impediments on their own. So Artificial Intelligence has made all of this feasible.

2. Sophia (A Robot)

Hanson Robotics is the creator of Sophia. The firm Hanson Robotics is situated in Hong Kong. Sophia was turned on in 2016.

Sophia is able to converse thanks to natural language processing. She, like humans, can make a variety of facial expressions.

Sophia now holds Saudi Arabian citizenship. She is the city’s first robot resident.

3. Google Assistant/Alexa/Siri

These are terms that we are all familiar with. Alexa, Siri, and Google Assistant. So, how do you suppose they work?

They are all Artificial Intelligence examples. You only need to send them your question, and they will respond in a matter of seconds. This is accomplished by natural language processing.

Amazon Alexa can be used to link many household devices. Then Alexa can control all of your devices.

4. Recommendation of a Product

Online websites or mobile applications employ product recommendations. They keep track of your previous purchase habits. And depending on them, suggest new goods.

Assume you buy a pair of jeans and a pair of shoes. When you return to that site, you will get a recommendation for a different pair of pants and shoes.

Artificial Intelligence has made this possible.

5. Use a chatbot

Do you aware that the person responding to customer service is a chatbot, not a human?

Yes. AI has now made it possible. A chatbot is an artificial intelligence-based program that replaces human customer service.

They have the ability to take your query, process it, and resolve it.

6. Image Recognition on Facebook

Do you ever consider how Facebook tags your friends with their names when you share an image on Facebook?

Artificial Intelligence is what this is. Facebook employs image recognition, which aids in the recognition of a person’s image.

This feature simplifies our lives. We used to do it manually before this feature. However, it now automatically recognizes images and tags them with names.

7. GPS 

GPS provides real-time traffic updates. Which road has the least amount of traffic? It can also tell you when you will arrive at a specific area.

Assume you begin driving and enter your starting point and destination. Google smart maps calculate your arrival time based on these coordinates. It also provides the path that takes the least amount of time.

8. Pandora

Pandora is an artificial intelligence-powered music service. It assists you in locating the next music you should listen to.

This is not a collection of music chosen at random. Pandora’s creators infused their musical DNA into the AI to the extent that professional musicians do.

They studied every music on the planet. After that, they split it down into 400 different musical characteristics.

As a result, when you choose a song, AI will analyze it and recommend music with a comparable style, flow, and substance. So your next song will sound a lot like the one before it.

9. NOMURA

Artificial Intelligence is being used by Nomura Securities to study the insights of experienced stock traders.

It’s a brand-new stock trading system. It keeps track of a large amount of trading data and forecasts future stock market prices.

Artificial Intelligence is being used by several banks to provide customer care, fraud detection, and other services. The private bank employs an AI-based chatbot known as “ASK EVA.” In 0.4 seconds, EVA can answer your question.

10. Plantix and BLUE RIVER

Agriculture makes use of Blue River Technology. They created the See & Spray robot.

This robot monitors and sprays weedicide (a chemical spray) on cotton plants using computer vision technology.

PEAT, a Berlin-based AI startup, created Plantix. Plantix detects soil problems and nutrient inadequacy using image recognition.

Plantix allows you to post photos of plants taken with your smartphone. It will recognize and make recommendations.

We hope you now know what artificial intelligence is, its history, how it works, and some AI instances. Please feel free to ask any questions in the comments area.

Wednesday 4 May 2022

AI on how to make ethanol from crops mixed petrol free from impurities and pollution to prevent deposition plug and other components of vehicle

 To make ethanol mixed petrol free from impurities and pollution to prevent deposition plug and other components of vehicle, here are some things that can be done:

  • Use high-quality ethanol: The first step is to use high-quality ethanol. This means using ethanol that is free of impurities and other contaminants. High-quality ethanol can be produced using a variety of methods, including fermentation, distillation, and gasification. The production method used will depend on the type of feedstock being used and the desired purity of the ethanol.

  • Remove impurities from ethanol: Once high-quality ethanol has been produced, it is important to remove any remaining impurities. This can be done using a variety of methods, such as filtration, adsorption, and distillation. The specific method used will depend on the type of impurities present in the ethanol.

  • Add additives to ethanol: Additives can be used to improve the performance and quality of ethanol blended petrol. Some common additives include detergents, antioxidants, and corrosion inhibitors. Detergents help to keep the engine clean and free of deposits. Antioxidants help to protect the fuel from oxidation and degradation. Corrosion inhibitors help to protect the engine from corrosion.

  • Use a fuel filter: A fuel filter can be used to remove any remaining impurities from the fuel before it is injected into the engine. This helps to protect the engine from damage and ensures that it runs smoothly.

  • Regular maintenance: It is important to perform regular maintenance on your vehicle, including the fuel system. This will help to prevent the buildup of deposits and other contaminants. If you live in an area with poor air quality, you may need to change your fuel filter more often.

By following these tips, you can make ethanol mixed petrol free from impurities and pollution and help to prevent deposition plug and other components of vehicle.

Here are additional tips to help you prevent deposits and other contaminants from damaging your vehicle's engine:

  • Use the correct octane rating fuel for your vehicle: Using the incorrect octane rating fuel can cause deposits to form in the engine.

  • Avoid using low-quality fuel: Low-quality fuel may contain impurities that can damage the engine.

  • Change your oil regularly: Oil helps to lubricate the engine and remove contaminants. It is important to change your oil regularly to prevent deposits from forming.

  • Use a fuel additive: A fuel additive can help to clean the engine and prevent deposits from forming.

  • Have your vehicle inspected by a qualified mechanic regularly: A qualified mechanic can check for deposits and other contaminants and recommend the necessary repairs.

Producing ethanol from crops and blending it with gasoline to create a cleaner-burning fuel is a well-established process. Ethanol can be used as an additive to gasoline to reduce emissions and improve combustion. Here's how you can make ethanol from crops and blend it with gasoline to create a cleaner fuel:

Ethanol Production from Crops:

  1. Crop Selection: Choose a suitable crop for ethanol production. Corn, sugarcane, and switchgrass are common choices due to their high sugar or starch content.

  2. Harvesting: Harvest the chosen crop at the right stage of maturity when it contains the highest sugar or starch content.

  3. Milling: Grind or mill the harvested crop to create a mash or slurry.

  4. Fermentation: Add yeast or enzymes to the mash to ferment the sugars or starches into ethanol and carbon dioxide (CO2). This process typically takes several days.

  5. Distillation: Distill the fermented mash to separate ethanol from the water and other components. Distillation is used to increase the ethanol concentration.

  6. Dehydration: Further remove water from the ethanol using molecular sieves or other dehydration methods to achieve the desired ethanol purity.

  7. Denaturing (optional): If the ethanol is intended for fuel use, it may be denatured to make it unsuitable for human consumption by adding a small amount of a denaturant.

Blending Ethanol with Gasoline:

  1. Ensure Ethanol Purity: Ensure that the ethanol produced is of the desired purity, often referred to as anhydrous ethanol (99% ethanol and 1% water or less) for fuel use.

  2. Measuring Ethanol Content: Measure the ethanol content accurately to determine the proper ethanol-to-gasoline blend ratio. Common blends include E10 (10% ethanol and 90% gasoline), E15 (15% ethanol and 85% gasoline), and E85 (up to 85% ethanol and 15% gasoline).

  3. Mixing: Mix the measured amount of ethanol with gasoline in the appropriate ratio. Ensure thorough mixing to create a homogenous blend.

  4. Testing: Test the final ethanol-gasoline blend to verify that it meets regulatory standards and quality specifications. The blend should not contain impurities that could harm vehicle components.

  5. Distribution: Distribute the ethanol-blended gasoline to fueling stations and consumers. It's important to label the fuel pumps with the ethanol content to inform consumers.

  6. Vehicle Compatibility: Ensure that vehicles using ethanol-blended gasoline are compatible with the specific blend. Many modern vehicles are designed to use ethanol blends up to E15 or E85, but it's essential to follow manufacturer recommendations.

Ethanol-blended gasoline can help reduce air pollution and lower greenhouse gas emissions when compared to pure gasoline. However, the environmental benefits can vary depending on factors such as the ethanol feedstock, production methods, and transportation. Additionally, it's crucial to follow local regulations and standards regarding ethanol content in gasoline and vehicle compatibility to prevent issues like engine deposits or plug formation.

Unifying models of information processing across machine learning, artificial intelligence and neuroscience

 The structure and function of circuits in the brain have inspired many innovations in artificial intelligence (AI) and robotics. New mechanisms for how information is processed in the brain are constantly being discovered, both at the cellular level (how individual neurons, synapses and circuits process input signals received from our senses), and at the cognitive level (how decisions are made and actions planned). A better understanding of these processes, honed over millions of years of evolution, can help us make AI systems more robust and efficient. On the other hand, advances in AI provide neuroscientists with important clues on how the brain may process information and provide powerful new computational tools to add to their arsenal of research techniques. However, because researchers and software developers in these fields often have different objectives and use different terminology, workflows and approaches, there is still a big disconnect between these areas. This makes it extremely difficult for researchers to share and exchange their ideas, their latest findings, and their tools (such as models and software) with each other.


An example is the variety of approaches being taken to studying and building computer models of vision. Huge progress has been made in Machine Learning (ML) for image recognition and classification using deep convolutional neural networks. Many computational neuroscientists on the other hand investigate vision using spiking neuronal elements arranged in populations inspired by the visual processing pathway of the brain. Cognitive scientists try to understand object recognition and subsequent decision making from a more abstract, higher level. While all of these perspectives are important, they use very different software frameworks and terminology for building models and disseminating their work, limiting how progress in one domain can be readily interpreted and reused in another.

I aim to address this unnecessary disconnection between disciplines in this fellowship. I have extensive experience in computational neuroscience and the development of standards, tools, and infrastructure that enable building, sharing, and reuse of complex, biologically realistic models. I am the main developer of the well established NeuroML exchange format and associated software tools that are used widely by researchers and large scale brain initiatives around the world. To expand the scope of this into related domains, I recently initiated a new international collaboration to develop MDF (Model Description Format). MDF is designed to be a more general format for models across both AI and neuroscience - from complex deep learning models and artificial neural networks, all the way to biologically detailed neuronal models and models of cognition. I will build on my preliminary work in this area to expand the scope of MDF and create associated analysis methods to provide a powerful suite of tools for a wide range of researchers and application developers working with brain-inspired network models. This work will be guided by specific scientific use cases based on my previous research (cortical computation, in-silico emulation of worm behaviour), where widely varying approaches are used by different researchers to examine these complex systems.

An EPSRC Open Fellowship will provide the resources necessary to develop and expand these technologies while acquiring new scientific and professional skills necessary to lead in this area. The Plus Component is an absolutely crucial part of this, supporting me to actively engage with, and disseminate these approaches to researchers from a wide range of fields, as well as build a diverse community of users and developers around the technologies. Many of the barriers to communicating ideas across AI/ML/neuroscience are related to lack of the underlying

AI:how to earn revenue from junior medical student, junior resident, senior resident, military new comers police new comers and senior officials and senior doctors in various ways which is ethical and scientific

Generating revenue from junior medical students, junior and senior residents, military and police newcomers, and senior officials, as well as senior doctors, can be done through various ethical and scientific means. Here are some ideas:

1. Medical Training Programs:

  • Offer paid medical training programs for junior students, residents, and newcomers in military and police. These programs can include workshops, seminars, and certification courses.

2. Continuing Medical Education (CME) Courses:

  • Organize CME courses for medical professionals, including senior doctors and officials. Charge fees for attendance and certification.

3. Medical Publications and Journals:

  • Publish medical journals, textbooks, and research papers. Revenue can be generated through subscription fees and article publication charges.

4. Healthcare Workshops and Conferences:

  • Host healthcare conferences, symposiums, and workshops. Revenue can come from registration fees and sponsorships.

5. Telemedicine and Online Consultations:

  • Develop a telemedicine platform that allows medical professionals to offer online consultations. Charge fees for the use of the platform.

6. Medical Simulation Centers:

  • Establish medical simulation centers for training purposes. Medical students and residents can pay for access to these facilities.

7. Medical Equipment Sales:

  • Start a medical equipment supply business. This can include selling medical instruments and supplies to medical professionals.

8. Medical Research Grants:

  • Provide research grants and funding opportunities to medical professionals for scientific research projects. Revenue can be generated from application fees and partnerships with research organizations.

9. Private Practice:

  • For medical doctors, revenue is generated through private medical practices where fees are charged for medical consultations and procedures.

10. Health and Wellness Programs:

  • Develop health and wellness programs for government and military personnel. These programs can be offered for a fee and may include fitness training and stress management.

11. Medical Tourism:

  • Promote medical tourism for patients seeking specialized medical services. Medical professionals can participate in this industry by offering their expertise.

12. Healthcare Consulting:

  • Provide healthcare consulting services to organizations, hospitals, and institutions. Revenue can come from consulting fees.

13. Clinical Trials:

  • Collaborate with pharmaceutical companies to conduct clinical trials. Revenue can be earned by conducting and overseeing these trials.

14. Electronic Health Records (EHR) Systems:

  • Develop and sell EHR systems to healthcare facilities. These systems can improve patient record management and generate revenue.

It's essential to ensure that all revenue-generating activities in the medical field adhere to ethical and scientific standards. Compliance with healthcare regulations and patient confidentiality is crucial. Collaboration with healthcare institutions and government bodies can help establish and promote these ethical and scientific revenue-generating ideas.

Here are some ethical and scientific ways to earn revenue from junior medical students, junior residents, senior residents, military newcomers, police newcomers, senior officials, and senior doctors:

  • Educational services: You can provide educational services to these groups, such as tutoring, test preparation, or continuing education courses. This can be a great way to share your knowledge and expertise, and it can also generate revenue.
  • Research assistance: You can provide research assistance to these groups, such as helping to design and conduct studies, collect and analyze data, or write research papers. This can be a great way to gain valuable research experience and to make a contribution to your field.
  • Consultation services: You can provide consultation services to these groups, such as advising on medical procedures, developing treatment plans, or managing complex cases. This can be a great way to share your knowledge and expertise, and it can also generate revenue.
  • Products and services: You can develop and sell products and services that are specifically tailored to the needs of these groups. For example, you could develop a mobile app for medical students to help them study for exams, or you could create a website that provides resources for new police officers.
  • Donations: You can accept donations from these groups to support your work. This could be done through a crowdfunding platform, or you could simply accept donations directly from individuals or organizations.

It is important to note that it is important to be ethical when earning revenue from these groups. You should avoid any activities that could be construed as a conflict of interest, and you should always put the needs of your clients first.

Here are some additional tips for earning revenue from these groups in an ethical and scientific way:

  • Be transparent: Be upfront with your clients about your goals and motivations. Make sure they understand how you plan to use their money and what they can expect in return.
  • Be honest: Do not make any promises that you cannot keep. Be honest about your skills and experience, and be realistic about the results that your clients can expect.
  • Be respectful: Treat your clients with respect, and be mindful of their needs and sensitivities.
  • Be professional: Conduct yourself in a professional manner at all times. This includes meeting deadlines, delivering high-quality work, and being responsive to your clients' needs.

By following these tips, you can earn revenue from these groups in an ethical and scientific way.

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