Top 12 Brain Inspired Artificial Intelligence projects in 2022 - Reviews, Features, Pricing, Comparison - PAT RESEARCH: B2B Reviews, Buying Guides & Best Practices (2022)

Artificial intelligence is the field of study that is generally defined as the study of intelligence exhibited by machines or software. The term Artificial intelligence was coined by John McCarthy, in 1955, and defines it as "the science and engineering of making intelligent machines". The goals of Artificial intelligence research are reasoning, knowledge, planning, learning, natural language processing, perception and the ability to move and manipulate objects. There are a large number of tools used in Artificial intelligence and the popular approaches include statistical methods, computational intelligence and traditional symbolic AI.

OpenNN -Open Neural Networks Library , Neural Designer, a(rtificial)Human, Blue Brain Project, HNeT Application Development System, Numenta Platform for Intelligent Computing, Encog, Neuroph, Neu, Vicarious- Recursive Cortical Network, Visual Hierarchical Modular Neural Network, Artificial Intelligence Logic Electronic Emulation Neural Network are some of the Top Brain inspired Artificial intelligence projects and neural network software in no particular order.

Top Brain Inspired Artificial Intelligence projects

1. OpenNN -Open Neural Networks Library

OpenNN -Open Neural Networks Library is a software library written in the C++ programming language which implements neural networks. The solving approach consists of three steps, the first step is to choose a suitable neural network which will approximate the solution and then the problem is formulated by selecting an appropriate functional. The third step is to perform mathematical optimization with an algorithm in order to find a good set of parameters. OpenNN is able to learn from both data sets and mathematical models and the software can be used to solve applications of function regression, pattern recognition, time series prediction, optimal control, optimal design and inverse problems.

Open Neural Networks Library

2. Neural Designer

Neural Designer, is a desktop application for discovering complex relationships, recognizing unknown patterns and predicting actual trends from data sets, developed by Intelnics. Neural designer transforms raw data in useful knowledge, discovering complex relationships, recognizing hidden patterns or predicting current trends. The program takes a data set, and produces its corresponding neural model.

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Neural designer

Top 12 Brain Inspired Artificial Intelligence projects in 2022 - Reviews, Features, Pricing, Comparison - PAT RESEARCH: B2B Reviews, Buying Guides & Best Practices (1)3. a(rtificial)Human

a(rtificial)Human was started in 2008 aimed to implement human personality by means of computer program. a(rtificial)Human uses strong biological and computer science background and now has rich research pages, useful to start learning the field of neurobiology and approaches assisting to build brain from the scratch as a software program.

a(rtificial)Human

Top 12 Brain Inspired Artificial Intelligence projects in 2022 - Reviews, Features, Pricing, Comparison - PAT RESEARCH: B2B Reviews, Buying Guides & Best Practices (2)4. Blue Brain Project

Reconstructing the brain piece by piece and building a virtual brain in a supercomputer are some of the goals of the Blue Brain Project. The virtual brain will be an exceptional tool giving neuroscientists a new understanding of the brain and a better understanding of neurological diseases. The Blue Brain project began in 2005 with an agreement between the EPFL and IBM.The Blue Brain Project goal is to create a synthetic brain by reverse engineering the mammalian brain down to the molecular level. The project, founded in May 2005 in Switzerland, is to study the brain's architectural and functional principles. There are a number of sub-projects, including the Cajal Blue Brain, and others run by universities and independent laboratories.

Blue Brain Project

5. HNeT Application Development System

HNeT Application Development System which was released in 1990 contained a number of example applications, based on the complex valued phase coherence/decoherence process including complex valued Hopfield network or complex associative memory. The concepts initially developed and applied within the HNeT technology form the basis for several related academic fields referred to by the acronyms Quantum neural network (QNN), Holographic associative memory (HAM), Complex Associative Memory (CAM) and Complex Valued Neural Networks (CVNN). AND Corporation, technology is based upon complex-valued phase coherence/decoherence principles in the emulation of neurological learning and function. The company has been active primarily in the object recognition and biometrics application areas. AND Corporation is based in Toronto, Canada.

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AND Corporation

6. Numenta Platform for Intelligent Computing

NuPIC, the Numenta Platform for Intelligent Computing, is an open source implementation by Numenta of its Cortical Learning Algorithm. This comprises a set of learning algorithms that were first described in a white paper published by Numenta in 2009. The learning algorithms capture how layers of neurons in the neocortex learn. There are many tasks such as visual pattern recognition, understanding spoken language, recognizing and manipulating objects by touch, and navigating in a complex world which humans find easy to do that computers are currently unable to do. These capabilities in humans are largely performed by the neocortex. The Cortical Learning Algorithm (CLA) is a technology modeled on how the neocortex performs these functions. It offers the groundwork for building machines that approach or exceed human level performance for many cognitive tasks.

Numenta Platform for Intelligent Computing

7. Encog

Encog is an advanced machine learning framework that supports a variety of advanced algorithms, as well as support classes to normalize and process data. Machine learning algorithms such as Support Vector Machines, Artificial Neural Networks, Genetic Programming, Bayesian Networks, Hidden Markov Models, Genetic Programming and Genetic Algorithms are supported.

Encog

8. Neuroph

Neuroph is an object-oriented neural network framework written in Java. It can be used to create and train neural networks in Java programs. Neuroph provides Java class library as well as GUI tool easyNeurons for creating and training neural networks.

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Neuroph

9. Neu

Neu is a C++ framework, collection of programming languages, and multipurpose software system designed for the creation of artificial intelligence applications and systems, modeling and simulation, programming language and compiler construction, technical computing in general.

Neu

10. Vicarious- Recursive Cortical Network

Vicarious- Recursive Cortical Network uses the computational principles of the brain to build software that can think and learn like a human.Vicarious machine learning software based on the computational principles of the human brain. Recursive Cortical Network (RCN), is a visual perception system that interprets the contents of photographs and videos in a manner similar to humans. The system is powered by a balanced approach that takes sensory data, mathematics, and biological plausibility into consideration. In 2013 Vicarious announced its AI was reliably able to solve modern CAPTCHAs, with character recognition rates of 90% or better. As Vicarious’s algorithms are based on insights from the human brain, it is also able to recognize photographs, videos, and other visual data.

Vicarious- Recursive Cortical Network

11. Visual Hierarchical Modular Neural Network

Visual Hierarchical Modular Neural Network, a software technology by TinMan Systems, visually construct a flow of human thought and logic to produce autonomous artificial intelligence. TinMan technology provides an innovative, user-friendly tools framework and deployment library to rapidly develop and integrate expert human like decision making into commercial systems. TinMan platform is designed for creating autonomous artificial intelligence based on the biological metaphor of artificial neural networks. TinMan technology fully abstracts and shields the user from the mathematical tedium associated with neural networks and machine learning technologies through a modular and templatized approach.

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TinMan technology

12. Artificial Intelligence Logic Electronic Emulation Neural Network

Artificial Intelligence Logic Electronic Emulation Neural Network, known as A.I.L.E.E.N.N. is an entire Cloud based PaaS platform as a service and IaaS Infrastructure represented as a ubiquitous entity based on Neural Networks and Fuzzy Logic with universal inputs, outputs and actuators aiming to the democratization and human like interaction as the ultimate resource planner, decision making process and actuator.

Artificial Intelligence Logic Electronic Emulation Neural Network

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What is Artificial intelligence?

Artificial intelligence is the field of study that is generally defined as the study of intelligence exhibited by machines or software. The goals of Artificial intelligence research are reasoning, knowledge, planning, learning, natural language processing, perception and the ability to move and manipulate objects. There are a large number of tools used in Artificial intelligence and the popular approaches include statistical methods, computational intelligence and traditional symbolic AI.

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FAQs

What are the 4 powerful examples of artificial intelligence in use today? ›

Artificial Intelligence Examples
  • Manufacturing robots.
  • Self-driving cars.
  • Smart assistants.
  • Healthcare management.
  • Automated financial investing.
  • Virtual travel booking agent.
  • Social media monitoring.
  • Marketing chatbots.
17 Aug 2022

What are the most impressive AI in today's world? ›

  • A.I. And Quantum Computing. The truth is that, whether or not true A.I. is out there or is actually a threat to our existence, there's no stopping its evolution and its rise. ...
  • Applications of Artificial Intelligence In Use Today. ...
  • #1 -- Siri. ...
  • #2 -- Alexa. ...
  • #3 -- Tesla. ...
  • #4 -- Cogito. ...
  • #5 -- Boxever. ...
  • #6 -- John Paul.
10 Jan 2017

What is the latest breakthrough in AI? ›

AI Models Can Now Continually Learn from New Data on Intelligent Edge Devices Like Smartphones and Sensors. Oct. 4, 2022 — A new technique enables on-device training of machine-learning models on edge devices like microcontrollers, which have very limited memory. This ...

Does artificial intelligence exist 2022? ›

The AI market is expanding at a CAGR of 38.1% between 2022 to 2030. By 2025, as many as 97 million people will work in the AI space. AI market size is expected to grow by at least 120% year-over-year. 83% of companies claim that AI is a top priority in their business plans.

What is future of artificial intelligence? ›

Artificial intelligence is shaping the future of humanity across nearly every industry. It is already the main driver of emerging technologies like big data, robotics and IoT, and it will continue to act as a technological innovator for the foreseeable future.

What is the smartest AI in the world? ›

Lucid.AI is the world's largest and most complete general knowledge base and common-sense reasoning engine.

What is the most powerful AI? ›

Meta unveils AI Research SuperCluster, the world's most powerful artificial intelligence supercomputer.

What happened in AI in the Bible? ›

Ai, ancient Canaanite town destroyed by the Israelites under their leader Joshua (Joshua 7–8). Biblical references agree in locating Ai (Hebrew: ha-ʿAy, “The Ruin”) just east of Bethel (modern Baytīn in the West Bank). This would make it identical with the large early Bronze Age site now called At-Tall.

What is the future of our technology? ›

AI and machine learning are the foundation on which many other technologies are built. For instance, without AI, we wouldn't have achieved the amazing advances in the Internet of Things, virtual reality, chatbots, facial recognition, robotics, automation, or self-driving cars, just to name a few.

What are the 7 types of AI? ›

7 Important Types Of AI To Watch Out For In 2022
  • Reactive Machines.
  • Limited Memory.
  • Theory of Mind.
  • Self-Aware.
  • Artificial Narrow Intelligence (ANI)
  • Artificial General Intelligence.
  • Artificial Super Intelligence (ASI)
8 Mar 2021

What are the 4 types of AI? ›

According to the current system of classification, there are four primary AI types: reactive, limited memory, theory of mind, and self-aware.

Which platform is best for AI? ›

Google AI Platform, TensorFlow, Microsoft Azure, Rainbird, Infosys Nia, Wipro HOLMES, Dialogflow, Premonition, Ayasdi, MindMeld, Meya, KAI, Vital A.I, Wit, Receptiviti, Watson Studio, Lumiata, Infrrd are some of the top Artificial Intelligence Platforms .

Who is the father of AI? ›

Abstract: If John McCarthy, the father of AI, were to coin a new phrase for "artificial intelligence" today, he would probably use "computational intelligence." McCarthy is not just the father of AI, he is also the inventor of the Lisp (list processing) language.

What is theory of mind AI? ›

In psychology, "Theory of Mind" means that people have thoughts, feelings and emotions that affect their behavior. Future AI systems must learn to understand that everyone (both people and AI objects) have thoughts and feelings. Future AI systems must know how to adjust their behavior to be able to walk among us.

What is next after artificial intelligence? ›

Artificial consciousness. “ Machines will follow a path that mirrors the evolution of humans. Ultimately, however, self-aware, self-improving machines will evolve beyond humans' ability to control or even understand them.”

Which one is better AI or IT? ›

Information technology is limited to transmitting and manipulating data. Whereas, AI-driven applications work more closely to accelerate problem resolutions and enhance IT operations. This makes artificial intelligence software more intelligent within the IT landscape.

Which jobs will be replaced by AI? ›

7. 12 jobs that robots will replace in the future
  • Customer service executives. Customer service executives don't require a high level of social or emotional intelligence to perform. ...
  • Bookkeeping and data entry. ...
  • Receptionists. ...
  • Proofreading. ...
  • Manufacturing and pharmaceutical work. ...
  • Retail services. ...
  • Courier services. ...
  • Doctors.
5 Oct 2021

What is the most advanced AI in 2022? ›

It is one of the most remarkable Artificial Intelligence trends in 2022. The most powerful language model ever constructed has been in the limelight since OpenAI debuted GPT-3, which is considered the world's most advanced language model.

What is the smartest robot today? ›

Developed by Engineered Arts, the leading designer and manufacturer of humanoid entertainment robots, Ameca is the world's most advanced, most realistic humanoid robot, representing the cutting-edge technology of humanoid robotics.

Which country is most advanced in AI? ›

Following are the statistics of the global AI readiness Index conducted by Oxford Insights and the International Development Research Centre (IDRC) in 2019.
...
Countries leading the way in AI.
CountryRankScore
Singapore19.186
United Kingdom29.069
Germany38.810
United States of America48.804
6 more rows

What is the most advanced AI robot? ›

Sophia. Sophia is considered the most advanced humanoid robot.

How do I build AI? ›

To make an AI, you need to identify the problem you're trying to solve, collect the right data, create algorithms, train the AI model, choose the right platform, pick a programming language, and, finally, deploy and monitor the operation of your AI system.

Which company is leading the AI race? ›

The leaders in AI technology

Amazon, Microsoft, Google and IBM are all leaders in their offerings of machine learning (ML) solutions via cloud services. ML systems can be costly to create in-house, especially as there is a skills shortage, so many businesses prefer to “rent” ML, and other AI services, from the cloud.

Why was Ai destroyed in the Bible? ›

Biblical narrative

In the Book of Joshua, chapters 7 and 8, the Israelites attempt to conquer Ai on two occasions. The first, in Joshua 7, fails. The biblical account portrays the failure as being due to a prior sin of Achan, for which he is stoned to death by the Israelites.

What does God think of Ai? ›

God and robots: Will AI transform religion? - BBC News - YouTube

What happens to the king of Ai? ›

But the king of Ai did not survive for long, for Joshua killed him and hanged him on a tree, taking his body down before sunset according to the law of God (vv. 24–29; see Deut 21:22–23).

What is the next big technology? ›

Artificial intelligence will become more prevalent in 2023 with natural language processing and machine learning advancement. Artificial intelligence can better understand us and perform more complex tasks using this technology. It is estimated that 5G will revolutionize the way we live and work in the future.

What should I invent in the future? ›

These 10 innovations have the potential to shape our future.
  • Emotional Artificial Intelligence.
  • Self driving cars.
  • New mobility innovations such as hyperfast trains.
  • Smart Homes.
  • Gene predictions.
  • Microchips and Human Augmentation.
  • Nanorobotics.
  • Robotics.
6 Jan 2021

What will be in 2030? ›

The world population is expected to reach 8.5 billion people by 2030. India will overtake China as the most populated country on Earth. Nigeria will overtake the US as the third most populous country in the world. The fastest-growing demographic will be the elderly: 65+ people will hit one billion by 2030.

How do you evolve AI in 2022? ›

Language models — AI systems that can generate convincing text, converse with humans, respond to questions, and more — are also set to improve in 2022. The best-known language model is OpenAI's GPT-3 but DeepMind said in December that its new “RETRO” language model can beat others 25 times its size.

What is generative AI? ›

This new category is called “Generative AI,” meaning the machine is generating something new rather than analyzing something that already exists. Generative AI is well on the way to becoming not just faster and cheaper, but better in some cases than what humans create by hand.

Why is AI trending in the future? ›

Maybe AI will make people more creative, free humans from complicated or mindless tasks, and even replace humans in dangerous jobs. The technological development of AI will go hand in hand with the digitization and intelligent upgrading of the industry, building a future with unlimited possibilities.

What is super AI? ›

What Is Super AI? Artificial superintelligence (ASI) is a form of AI that is capable of surpassing human intelligence by manifesting cognitive skills and developing thinking skills of its own.

Are there 3 or 4 types of AI? ›

According to the current system of classification, there are four primary AI types: reactive, limited memory, theory of mind, and self-aware. Let's take a look at each type in a little more depth.

What is the simplest AI? ›

Reactive machines are the most basic type of AI system.

What type of AI is Siri? ›

Siri consists of three main components: a conversational interface, personal context awareness, and service delegation. The conversational interface is based on Natural Language Processing (NLP), a branch of AI.

What are the five main areas of AI? ›

Five AI technologies that you need to know
  • Artificial Intelligence. Artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. ...
  • Machine Learning. ...
  • Deep Learning. ...
  • Natural Language Processing. ...
  • Computer Vision.

What skills are required for AI jobs? ›

These are the seven skills you need to take advantage of the growing opportunity to build great ML/AI solutions:
  • Programming languages. ...
  • Data engineering. ...
  • Exploratory data analysis. ...
  • Models. ...
  • Services. ...
  • Deploying. ...
  • Security. ...
  • Rock AWS Machine Learning.

Which of these is the hardest challenge for AI? ›

Bias. Another big challenge with AI systems is that their level of “good” or “bad” depends on the data they are trained on and how the algorithms define what is “good” or “bad”.

What is use of Python in AI? ›

The ease of use of the programming language plays an important role in exchanging ideas, tools, and algorithms. Therefore, Ai-professionals can easily use Python to bring minor or major changes into their projects. Apart from the general schedule, numerous tools help create an interactive design.

What is the most common type of AI used today? ›

Limited memory AI learns from the past and builds experiential knowledge by observing actions or data. This type of AI uses historical, observational data in combination with pre-programmed information to make predictions and perform complex classification tasks. It is the most widely-used kind of AI today.

What is artificial intelligence used for today? ›

Prominent examples of AI software used in everyday life include voice assistants, image recognition for face unlock in mobile phones, and ML-based financial fraud detection. AI software usually involves just downloading software with AI capabilities from an online store and requires no peripheral devices.

What example of AI do we use in daily life? ›

Built-in smart assistants on our phones like Siri, Alexa, and Google Assistant are the more obvious examples of AI that most of us are aware of and use. More mobile technology platforms are developing solutions that use AI for managing different aspects of the device like battery management, event suggestions, etc.

What is the uses of AI in our daily life explain each? ›

Perhaps the most popular use of A.I. comes in the form of digital smart assistants, such as Siri, Alexa and Google Assistant. These A.I. -powered personal assistants are able to take in your voice commands and translate them into actions, such as adding items to your shopping list or calling a friend.

What are the 7 types of AI? ›

7 Important Types Of AI To Watch Out For In 2022
  • Reactive Machines.
  • Limited Memory.
  • Theory of Mind.
  • Self-Aware.
  • Artificial Narrow Intelligence (ANI)
  • Artificial General Intelligence.
  • Artificial Super Intelligence (ASI)
8 Mar 2021

What are the 4 types of artificial intelligence? ›

Artificial intelligence research is one of the most exciting fields in tech. There are a lot of ongoing discoveries and developments, most of which are divided into four categories: reactive machines, limited memory, theory of mind, and self-aware AI.

What is super AI? ›

What Is Super AI? Artificial superintelligence (ASI) is a form of AI that is capable of surpassing human intelligence by manifesting cognitive skills and developing thinking skills of its own.

Who is father of AI? ›

Abstract: If John McCarthy, the father of AI, were to coin a new phrase for "artificial intelligence" today, he would probably use "computational intelligence." McCarthy is not just the father of AI, he is also the inventor of the Lisp (list processing) language.

Which industry uses AI the most? ›

Examples of Artificial Intelligence Across Industries
  1. Financial Services. AI has numerous applications in both consumer finance and global banking operations. ...
  2. Insurance. ...
  3. Healthcare. ...
  4. Life Sciences. ...
  5. Telecommunications. ...
  6. Oil, Gas, Energy. ...
  7. Aviation.
4 Mar 2022

Where is AI in the Bible? ›

Ai, ancient Canaanite town destroyed by the Israelites under their leader Joshua (Joshua 7–8). Biblical references agree in locating Ai (Hebrew: ha-ʿAy, “The Ruin”) just east of Bethel (modern Baytīn in the West Bank). This would make it identical with the large early Bronze Age site now called At-Tall.

Which platform is best for AI? ›

Google AI Platform, TensorFlow, Microsoft Azure, Rainbird, Infosys Nia, Wipro HOLMES, Dialogflow, Premonition, Ayasdi, MindMeld, Meya, KAI, Vital A.I, Wit, Receptiviti, Watson Studio, Lumiata, Infrrd are some of the top Artificial Intelligence Platforms .

What are the three domains of AI? ›

The domain of AI is classified into Formal tasks, Mundane tasks, and Expert tasks.

Is Siri an AI? ›

Siri is Apple's personal assistant for iOS, macOS, tvOS and watchOS devices that uses voice recognition and is powered by artificial intelligence (AI).

How AI affect our life? ›

One of such examples that we use in our daily lives is voice assistants on our mobile phones. Voice assistants are the gift of AI. Other than this, AI has brought us things like self-driving cars, humanoid robots, and reusable rockets. AI has given a boost to human creativity.

Is Google maps an AI? ›

AI is a critical part of what makes Google Maps so helpful.

How AI changed our life? ›

AI makes people's lives more efficient, powering many programs and services that help them do everyday things, such as connecting with friends and using an email program or ride share service. The best examples of AI in daily life are travel navigation, smart home devices, smartphones, drones and smart cars.

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