artificial intelligence

ANYTHING YOU DO,AI CAN DO BETTER

Since the advent of computers and machines, their capacity to perform various tasks has grown exponentially. Humans have continually enhanced computer systems in terms of their versatility, speed, and size reduction over time. This progress has culminated in the field of Artificial Intelligence (AI), which strives to create machines that can mimic human intelligence.

Artificial intelligence, or AI, is a branch of computer science focused on developing machines that can exhibit human-like behavior and responses. Some key areas where AI-driven computers excel include:

  1. Speech recognition
  2. Learning
  3. Planning
  4. Problem-solving

Knowledge engineering is a fundamental aspect of AI research, as machines must possess comprehensive information about the world to imitate human-like reasoning and problem-solving abilities. Teaching machines common sense and the capability to reason is a complex and laborious task.

Machine learning is another critical component of AI, encompassing both unsupervised and supervised learning. Unsupervised learning involves identifying patterns in data streams, while supervised learning entails classification and numerical regressions. The mathematical analysis of machine learning algorithms and their performance is a well-established field known as computational learning theory.

Machine perception and computer vision are subfields that involve processing sensory inputs to comprehend different aspects of the world and analyze visual data, such as recognizing faces, objects, and gestures.

AI’s significance extends to robotics, where intelligent robots handle tasks like object manipulation, navigation, localization, motion planning, and mapping.

AI Techniques: In the real world, knowledge possesses certain challenging properties:

  1. Its volume is enormous and almost unimaginable.
  2. It lacks organization and formatting.
  3. It constantly evolves and changes.

AI techniques are methods for efficiently organizing and utilizing knowledge to meet specific criteria:

  1. Knowledge should be understandable to those providing it.
  2. It should be easily modifiable to correct errors.
  3. It should be applicable in various situations, even if incomplete or inaccurate.

These AI techniques enhance the execution speed of complex programs.

Applications of AI: AI has made significant contributions to various fields, including:

  1. Gaming, where AI is crucial in games like chess, poker, and tic-tac-toe.
  2. Natural Language Processing, enabling computers to understand and respond to human language.
  3. Expert Systems, integrating machine intelligence, software, and specialized knowledge to provide advice and explanations.
  4. Vision Systems, used in applications such as aerial reconnaissance, medical diagnosis, and criminal facial recognition.
  5. Speech Recognition, enabling computers to understand spoken language, including accents and background noise.
  6. Handwriting Recognition, converting handwritten text into editable digital format.
  7. Intelligent Robots, capable of performing tasks and adapting to new environments.

Latest AI Trends:

  1. Natural Language Generation: AI sub-discipline that converts data into text for precise communication.
  2. Speech Recognition: Systems like Siri transcribe human language, used in voice-responsive apps.
  3. Virtual Agents: Chatbots and smart home managers for customer service and support.
  4. Machine Learning Platforms: Tools and algorithms for computer learning and prediction.
  5. AI-Optimized Hardware: Hardware designed for AI tasks, including specialized silicon chips.
  6. Decision Management: Incorporating rules and logic into AI systems for automated decision-making.
  7. Deep Learning Platforms: Using artificial neural circuits to process data and recognize patterns.
  8. Biometrics: Identifying and analyzing human behavior and physical traits for natural interactions.

In conclusion, AI has transformed various aspects of our lives, and ongoing developments continue to shape its role in society.

ANYTHING YOU DO,AI CAN DO BETTER

Since the invention of computers or machines, their capability to perform various tasks went on growing exponentially. Humans have developed the power of computer systems in terms of their diverse working domains, their increasing speed, and reducing size with respect to time.

A branch of Computer Science named Artificial Intelligence pursues creating the computers or machines as intelligent as human beings.

ARTIFICIAL INTELLIGENCE

Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans. Some of the activities computers with artificial intelligence are designed for include:

  • Speech recognition
  • Learning
  • Planning
  • Problem solving

Knowledge engineering is a core part of AI research. Machines can often act and react like humans only if they have abundant information relating to the world. Artificial intelligence must have access to objects, categories, properties and relations between all of them to implement knowledge engineering. Initiating common sense, reasoning and problem-solving power in machines is a difficult and tedious task.

Machine learning is also a core part of AI. Learning without any kind of supervision requires an ability to identify patterns in streams of inputs, whereas learning with adequate supervision involves classification and numerical regressions. Classification determines the category an object belongs to and regression deals with obtaining a set of numerical input or output examples, thereby discovering functions enabling the generation of suitable outputs from respective inputs. Mathematical analysis of machine learning algorithms and their performance is a well-defined branch of theoretical computer science often referred to as computational learning theory.

Machine perception deals with the capability to use sensory inputs to deduce the different aspects of the world, while computer vision is the power to analyze visual inputs with a few sub-problems such as facial, object and gesture recognition.

Robotics is also a major field related to AI. Robots require intelligence to handle tasks such as object manipulation and navigation, along with sub-problems of localization, motion planning and mapping.

What is AI Technique?

In the real world, the knowledge has some unwelcomed properties −

  • Its volume is huge, next to unimaginable.
  • It is not well-organized or well-formatted.
  • It keeps changing constantly.

AI Technique is a manner to organize and use the knowledge efficiently in such a way that −

  • It should be perceivable by the people who provide it.
  • It should be easily modifiable to correct errors.
  • It should be useful in many situations though it is incomplete or inaccurate.

APPLICATION OF AI

AI has been dominant in various fields such as −

  • Gaming − AI plays crucial role in strategic games such as chess, poker, tic-tac-toe, etc., where machine can think of large number of possible positions based on heuristic knowledge.
  • Natural Language Processing − It is possible to interact with the computer that understands natural language spoken by humans.
  • Expert Systems − There are some applications which integrate machine, software, and special information to impart reasoning and advising. They provide explanation and advice to the users.
  • Vision Systems − These systems understand, interpret, and comprehend visual input on the computer. For example,
    • A spying aeroplane takes photographs, which are used to figure out spatial information or map of the areas.
    • Doctors use clinical expert system to diagnose the patient.
    • Police use computer software that can recognize the face of criminal with the stored portrait made by forensic artist.
  • Speech Recognition − Some intelligent systems are capable of hearing and comprehending the language in terms of sentences and their meanings while a human talks to it. It can handle different accents, slang words, noise in the background, change in human’s noise due to cold, etc.
  • Handwriting Recognition − The handwriting recognition software reads the text written on paper by a pen or on screen by a stylus. It can recognize the shapes of the letters and convert it into editable text.
  • Intelligent Robots − Robots are able to perform the tasks given by a human. They have sensors to detect physical data from the real world such as light, heat, temperature, movement, sound, bump, and pressure. They have efficient processors, multiple sensors and huge memory, to exhibit intelligence. In addition, they are capable of learning from their mistakes and they can adapt to the new environment.

LATEST AI TRENDS

1. Natural Language Generation

Natural language generation is an AI sub-discipline that converts data into text, enabling computers to communicate ideas with perfect accuracy.

It is used in customer service to generate reports and market summaries and is offered by companies like Attivio, Automated Insights, Cambridge Semantics, Digital Reasoning, Lucidworks, Narrative Science, SAS, and Yseop.

2. Speech Recognition

Siri is just one of the systems that can understand you.

Every day, more and more systems are created that can transcribe human language, reaching hundreds of thousands through voice-response interactive systems and mobile apps.Companies offering speech recognition services include NICE, Nuance Communications, OpenText and Verint Systems.

3. Virtual Agents

A virtual agent is nothing more than a computer agent or program capable of interacting with humans. 

The most common example of this kind of technology are chatbots. 

Virtual agents are currently being used for customer service and support and as smart home managers.

Some of the companies that provide virtual agents include Amazon, Apple, Artificial Solutions, Assist AI, Creative Virtual, Google, IBM, IPsoft, Microsoft and Satisfi.

4. Machine Learning Platforms

These days, computers can also learn, and they can be incredibly intelligent!

Machine Learning(ML) is a subdiscipline of computer science and a branch of AI. Its goal is to develop techniques that allow computers to learn.

By providing algorithms, APIs (application programming interface), development and training tools, big data, applications and other machines, ML platforms are gaining more and more traction every day.

They are currently mainly being used for prediction and classification.

Some of the companies selling ML platforms include Amazon, Fractal Analytics, Google, H2O.ai, Microsoft, SAS, Skytree and Adext.

5. AI-Optimized Hardware

AI technology makes hardware much friendlier.

How? 

Through new graphic and central processing units and processing devices specifically designed and structured to execute AI-oriented tasks.

And if you haven’t seen them already, expect the imminent appearance and wide acceptance of AI-optimized silicon chips that can be inserted right into your portable devices and elsewhere.

You can get access to this technology through Alluviate, Cray, Google, IBM, Intel, and Nvidia.

6. Decision Management

Intelligent machines are capable of introducing rules and logic to AI systems so you can use them for initial setup/training, ongoing maintenance, and tuning.

Decision management has already been incorporated into a variety of corporate applications to assist and execute automated decision, making your business as profitable as possible.

Check out Advanced Systems Concepts, Informatica, Maana, Pegasystems, and UiPath for additional options.

7. Deep Learning Platforms

Deep learning platforms use a unique form of ML that involves artificial neural circuits with various abstraction layers that can mimic the human brain, processing data and creating patterns for decision making.

It is currently mainly being used to recognize patterns and classify applications that are only compatible with large-scale data sets.

Deep Instinct, Ersatz Labs, Fluid AI, MathWorks, Peltarion, Saffron Technology and Sentient Technologies all have deep learning options worthy of exploring.

8. Biometrics

This technology can identify, measure and analyze human behavior and physical aspects of the body’s structure and form

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