Artificial Intelligence Development Companies

The Artificial Intelligence Industry

Artificial Intelligence: Why and What for?

Artificial Intelligence: Introduction

Artificial Intelligence (AI) is a branch of computer science that deals with developing and implementation of analytical-computing machines with functions traditionally associated with human ones. That is, with the ability to reason, react, draw conclusions, and learn from mistakes made without a predetermined algorithm. Simply put, it's an attempt to reproduce or imitate human thinking and full brain activity in machines.

History of Emergence and Development of Artificial Intelligence

The idea of the emergence of our own artificial intelligence replica has long settled in the brightest minds of all mankind. Even in Ancient Greece, there were legends about machines with consciousness, i.e. artificial intelligence. Let alone the modern world, where, in the times of rapid development of information and scientific technology, we can now imagine the realization of almost anything!

The 1940s - 1950s: Neural Network Development as the Beginning of AI Development

In 1943, the field of neuroscience represents the brain as a neural network, built on the principle of biological cells of a living organism. Largely due to the research of W. McCulloch and W. Pitts, their model of artificial neurons, and the ability to train them, Artificial Intelligence gets a boost in development. A few years later, Frank Rosenblatt proposes a device schematics that simulates the human perception process and calls it the "perseptron," which later becomes the core of AI software development as well as of any self-learning intelligent technology.

The 1950s - 2000s: Alan Turing and Artificial Intelligence Conceptc

In the 1950s - Alan Turing proposed that a machine that could not be distinguished from a human in the process of communication could be considered intelligent. For this, he developed a special evaluating test, i.e. the Turing Test.

"Turing Test is a test for intelligence in a computer, requiring that a human being should be unable to distinguish the machine from another human being by using the replies to questions put to both." (c) Google

Earlier it was also Turing who formalized the notion of the algorithm on the example of an abstract computing AI machine, which is still widely used in various researches. However, the "artificial intelligence" term itself appeared after Turing's death in 1956.

The 2000s - Now: The Emergence of Intelligent AI Assistants

In 2003, DARPA (Defense Advanced Research Projects Agency) specialists managed to create personal artificial intelligence assistants, long before Siri, Alexa, and Cortana. Machine learning gains new momentum in popularity, causing unprecedented excitement regarding the emergence of many different technologies and experiments in artificial intelligence software. It is during this period that AI technology begins to be massively implemented in the infrastructure of every field, against the backdrop of increasing data volumes.

Artificial Intelligence: Modernity

AI development has gone through many cycles, been accompanied by increased interest, and followed by numerous "winters." The latter implies disappointment, criticism, funding cuts, etc. However, after all that, a few years (or decades) later, the interest was renewed again. Subsequently, many AI machines have been created that understand human speech, are able to hold conversations on given topics, robots that play board games. Thus, everyone remembers the famous chess match between Deep Blue (an IBM supercomputer) and Kasparov ended with the victory of the machine! Breakthroughs in deep learning led to the dawn of artificial intelligence technology.

Artificial Intelligence Winter: The AI Relevance Controversy

The term "AI winter" was first mentioned in 1984 at the annual meeting of AAAI (American Association for Artificial Intelligence) and referred to a period in the history of artificial intelligence research, due to funding cuts and a general decline in interest.

Many leading scientists in the field, conclude that AI research will not be able to fulfill the public promises it makes. This is followed by a stoppage of major work and a decrease in funding; in 1987 the AI industry was effectively destroyed, which, however, did not prevent it from later regaining popularity. Despite all the ups and downs, the AI field continues to grow. Mostly thanks to a wide range of opportunities to expand the functionality of artificial intelligence software, and further improve this technology.

Classification of Artificial Intelligence

The problem with the classification is that there is no single answer to what exactly is artificial intelligence all about? Almost any author or journalist, writing about AI, is guided by a certain definition or achievements of AI in a particular science field.

Two Main Approaches to Artificial Intelligence Software Development:

• Biological, or "upward" is the study and development of neural systems, and modeling behavior according to biological parameters;
• Semiotic, or "downward" is the study and development of systems that simulate human brain activity: thinking, speech, creativity, emotions.

AI Typology

Reactive Machine

This type of AI has a clearly laid down algorithm, from which it cannot deviate. It has no ability to draw conclusions, form memories, or influence decisions. Artificial Intelligence of these types cannot function outside of specific tasks assigned to them. Plus, they are easy to deceive.

Limited Memory

In addition to the functionality of a reactive machine, this type has limited memory. That is, the ability to temporarily store information that can be used to make or change decisions. It has no ability to develop permanent skills and accumulate experience.

Theory of Mind

This AI type focuses on a deep understanding of the human thought process with the ability to respond and learn. Theory of Mind is still under research and is responsible for our understanding of AI in the future.

Self-Analysis

This AI type refers to a hypothetical type of machine that can not only understand and analyze properties of the human psyche but also independently reproduce personal reactions, emotions, and desires. Such machines have their own flexible intelligence and consciousness.

3 categories of AI

Artificial Narrow Intelligence (ANI)

ANI, AKA "weak AI", refers to an ability of a computer to perform a single task extremely well (e.g. playing chess). It has limited functionality and is unable to achieve goals other than the one it was programmed for. It is the only existing AI at the moment.

Artificial General Intelligence (AGI)

AGI, sometimes called "strong AI," is capable of learning and improvising beyond existing scenarios. Like humans, AGI is able to apply its own intelligence to solve any intellectual task.

Artificial Super Intelligence (ASI)

ASI refers to an AI that surpasses human intellect, i.e. performs tasks and makes decisions at a level higher than a human. ASI, in theory, due to its flexible intelligence and maximal data processing, ASI should outperform humans in everything.

What Today's AI and Modern Artificial Intelligence Companies Pride Themselves on:

Process Automation

The goal of AI is the reliable and continuous execution of numerous large-scale computer tasks. Such AI installation allows the automation of various kinds of repetitive or lengthy processes. This reduces mistakes, boosts performance, and frees employees from monotonous routines, allowing them to focus on more important tasks.

Integration

The functionality of artificial intelligence is integrated into existing products, allowing you to improve them and become an integral part of the internal system. Automation, communication platforms, bots, and smart computers, combined with big data, can improve many technologies.

Adaptability

The flexible structure and capabilities of artificial intelligence allow various elements to be modified as new data becomes available. By exploring structures and patterns, artificial intelligence learns to adapt to the required conditions.

Accessibility

Regardless of any conventions, machines perform their assigned tasks and are available to users 24/7. They do not require breaks and weekends, due to their automated processes, AI is able to effectively perform their work around the clock.

Daily Use

In addition to the fact that artificial intelligence solutions have many examples of use in scientific fields and technological branches, they also occur to us in everyday life. Whether it's voice assistants in apps or home appliances with an automatic timer, the AI industry is committed to improving the human way of living.

The Danger Factor

AI capabilities allow using it in risky areas of work where humans can be at risk. AI machines will perform their tasks responsibly everywhere, in cycles, and without delay.

5 Problems Faced by Artificial Intelligence:

• Decisions are made on an available database that may be limited, inaccurate, or falsified;
• Narrow task specialization;
• Lack of autonomy;
• Wide range of platforms to start AI development;
• A limited number of experienced employees in the field of AI development.

Where is Artificial Intelligence Used?

AI functionality is widely used in all industries, especially in question-and-answer systems, which can be used for legal assistance, search queries, risk communication, and medical research.

Popular Areas of Artificial Intelligence Solutions:

• Healthcare;
• Education;
• Music;
• News & Publishing;
• Transportation;
• Support Services;
• Cybersecurity;
• Games & Entertainment;
• Medicine;
• Business & Marketing;
• Sports;
• Military.

How to Identify Leading Companies Developing Artificial Intelligence

For many companies, launching AI solutions is a lottery: it can be quite challenging for them to determine in advance whether it will be profitable and effective. Thus, choose companies developing artificial intelligence carefully to achieve the results you want.

So what should you focus on?

Criteria for Choosing Artificial Intelligence Software Companies:

• Experience. Certificates, references, successful projects availability;
• Flexibility. Make sure the company knows how to customize projects to meet your business requirements;
• Trends. Experienced companies are required to keep up with innovations in their field of work;
• Qualified support. Learn troubleshooting schemes and post-deployment services;
• Methodology. Analyze methods and tools the AI company uses to make sure they are suitable for you;

Artificial Intelligence Software Companies Help Change the World

Every year, machine technology makes our lives easier by preventing risks and threats, saving time, and providing essential information. And leading AI public companies obviously are not going to stop there, setting the goal to surprise us over and over again.

Here are just a few examples of the most innovative AI-based solutions that really help us look at the old world with new opportunities:

• Software that allows people with disabilities to work properly;
• Software developed to detect various diseases at the early stage;
• Artificially intelligent coaching development.

Top 10 Artificial Intelligence Companies. List of Artificial Intelligence Companies

Google

Google has 12 AI projects in Google products and more than 9 bought startups, focused on artificial intelligence software development. The company is mainly focused on machine learning development.

Facebook

Today's Facebook almost entirely consists of AI. It uses neural networks for different tasks - from targeted advertising to face and text sense recognition. Plus, FB owns three artificial intelligence labs.

Amazon

Amazon uses artificial intelligence solutions to modernize its services and products. Thus, Amazon Web Services (AWS) provides customers with the richest set of machine learning services and supporting cloud infrastructure. Plus, there's a personal virtual assistant.

Apple

One of the famous developments of Apple is Siri, a full-fledged virtual assistant. Also, the latest iPhone models have special hardware tools, designed specifically for AI processing, helping it better understand the surrounding world.

Microsoft

In addition to Cortana (voice assistant), the company's most famous AI-based product, the leading artificial intelligence company develops medical tools for diagnosing and predicting diseases. It also cooperates with Baidu (a Chinese company focused on AI-based and Internet-related services/products) to create a platform for self-driving vehicles.

Samsung

Samsung was the first electronics manufacturer to introduce an AI tool that automatically boosts image resolution to 8K.

IBM

The IBM Watson supercomputer is one of the loudest AI-based projects in the world. It's a machine that can access 90 servers with a combined data store of over 200 million pages of information. It then processes that information against six million logic rules using machine learning and natural language processing.

Nuance

Nuance focuses on conversational artificial intelligence solutions for people with hearing and speech problems. AI company's programs (automatic speech recognition, natural language processing, biometrics, etc.) are based on understanding human speech and recreating it as “live.”

AIBrain

The company builds AI solutions for smartphones and robotics. Their key products include personal assistants and AI-based applications.

Scaled Inference

A team of former Google employees, which offered a platform concept for companies wishing to use artificial intelligence in the application and service direction.

Best AI Companies in Cybersecurity

Darktrace is one of the world's leading AI companies in Cyber Security. The company's technology allows it to fight cyberattacks autonomously, without disrupting business operations and internal systems.

Cylance is another popular company that offers international intelligent security systems, combining artificial intelligence with machine learning to prevent cyber threats and protect data using the latest AI technology.

Top Artificial Intelligence Companies in Healthcare. Artificial Intelligence Company List

CarbonX integrates and digitizes biological indicators with experimental data from people around the world using advanced AI to find new signals about health, disease, and aging. When it comes to healthcare, CarbonX is among the top AI companies in the world.

Benevolent.AI develops medical solutions using machine learning models and algorithms. It is one of the leading artificial intelligence healthcare companies.

Babylon has a solid medical database and focuses on providing information based on risk factors and statistics processed by machine intelligence. It also offers individual AI assistants.

Leading AI Companies: Computer Vision

VisionLabs is the leading company in Computer Vision and Machine Learning. They specialize in creating products and solutions in the field of subject and object recognition, Augmented and Virtual Reality developed by them independently.

Unique solutions based on AI technology in this sphere also belong to Captricity, a personal assistant with high speed for deciphering hard-to-read documents and images. The digital agency is also known for its effective AI-based business process management technology.

FAQ

Q: What is Artificial Intelligence?

A: Artificial Intelligence is a scientific technology aimed at creating machines with the ability to reason, react, draw conclusions, and learn from mistakes to facilitate and automate various processes in all areas of modern life.

Q: What are the benefits of an artificial intelligence solution?

A: There are many important benefits to using AI, with the main ones being: process automation, AI integration with smart products/services, 24/7 accessibility, applicability in everyday life, adaptability, and self-learning.

Q: Top artificial intelligence applications?

A: The AI industry has a ton of applications in almost every existing structure. The most popular ones are business, education, support services, medicine, transportation, and healthcare.

Q: What challenges are faced by businesses when introducing AI?

A: The most common challenges in introducing AI technology to businesses are as follows: limited database for making decisions, which can be inaccurate or falsified; narrow task specialization; lack of autonomy; a wide range of platforms to start AI development; a limited number of experienced AI development teams.

Q: How to choose the right artificial intelligence technology company?

A: To choose the most suitable company for the development and implementation of AI technologies, consider the following points: company experience and successfully implemented projects; used technique examples; focus on novelties and trends within their respective spheres of competence; qualified tech support; an ability to customize projects to meet specific business requirements.