AI

Artificial intelligence (AI)

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

How Can AI Capture the Data?

Eye-tracking sensors

There are various eye-tracking technologies available on the market to capture eye movement data. Sometimes these technologies capture data for both eye and body movement, since there is a direct relationship between eye movement and body movement.

These technologies are usually in the form of a wearable device fitted with a camera, and sometimes other sensors as well. 

Smartphones

Smartphones are everywhere nowadays, and they have a tremendous impact on our lives. The smartphone revolution is also helping in personality detection in an indirect way – eye movements are easy to capture with smartphones. Phones can capture data 24/7 as people are using them. 

The eye movement data can be captured in two ways: One is by using a common video camera fitted with a smartphone. The second is to capture data by using an infrared camera with LED lights. 

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.

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 is chatbots.

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

AI-Optimized Hardware

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.

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 the automated decision, making your business as profitable as possible.

Bio-metrics

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

It allows for more natural interactions between humans and machines, including interactions related to touch, image, speech, and body language recognition, and is big within the market research field.

Robotic Processes Automation

Robotic processes automation uses scripts and methods that mimic and automate human tasks to support corporate processes.

It is particularly useful for situations when hiring humans for a specific job or task is too expensive or inefficient.

Cyber Defense

Cyber defense is a computer network defense mechanism that focuses on preventing, detecting, and providing timely responses to attacks or threats to infrastructure and information.

AI and ML are now being used to move cyber defense into a new evolutionary phase in response to an increasingly hostile environment: Breach Level Index detected a total of over 2 billion breached records during 2017. Seventy-six percent of the records in the survey were lost accidentally, and 69% were an identity theft type of breach.

Recurrent neural networks, which are capable of processing sequences of inputs, can be used in combination with ML techniques to create supervised learning technologies, which uncover suspicious user activity and detect up to 85% of all cyber attacks.

Emotion Recognition

This technology allows software to “read” the emotions on a human face using advanced image processing or audio data processing. We are now at the point where we can capture “micro-expressions,” or subtle body language cues, and vocal intonation that betrays a person’s feelings.

Image Recognition

Image recognition is the process of identifying and detecting an object or feature in a digital image or video, and AI is increasingly being stacked on top of this technology to great effect.

AI can search social media platforms for photos and compare them to a wide range of data sets to decide which ones are most relevant during image searches.

Image recognition technology can also be used to detect license plates, diagnose disease, analyze clients and their opinions, and verify users based on their face.

Artificial intelligence has been one of the fastest-growing technologies in recent years. AI is associated to human intelligence with similar characteristics such as language understanding, reasoning, learning, problem solving, and others. Manufacturers in the market witness enormous underlying intellectual challenges in the development and revision of such a technology. AI is positioned at the core of the next gen software technologies in the market. Companies such as Google, IBM, Microsoft, and other leading players have actively implemented AI as a crucial part of their technologies.

References: 

adage.com

techopedia.com

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Youtube.com\Aperture