3 Use Cases Of Artificial Intelligence In Business

With the rapid development of 4.0 Industrial Revolution, Artificial Intelligence was gradually applied in many fields from manufacturing, services, transportation to health and education. According to the study by Harvard Business Review, there are three main purposes for enterprises to apply AI: Robotic Process Automation, Cognitive Engagement and Cognitive Insight. 

Robotic Process Automation (RPA) is the most common need when businesses use AI with low investment costs and ease of implementation. These applications can automatically update the customer information and profiles, communicate with customers through a chatbot and provide basic guidance on standardized information and documents. Those help businesses in management and customer care.  

Cognitive Insight uses more complex algorithms incorporating machine learning to identify patterns from multiple data sets and extract meaning from them. The applications of Cognitive Insight are used in activities such as making prediction about purchasing options, detecting fraudulent transactions, automating advertisements in the direction of personalization, etc. Deep insights are accessed from user data, predicting customer behavior, and providing solutions with constantly updated and improved data. The goal is to improve the performance of tasks performed by machines that require a fast level of automation and massive data, beyond human capabilities.

Cognitive Engagement is a way of approaching customers by predicting analytics to provide insight into future customer behavior. Artificial Intelligence helps to provide maximum personalized content in interacting with customers quickly, right content, right audience and right time. As a result, businesses can formulate strategies and plans to increase interaction efficiency with customers and increase competitive advantage.

Depending on the specific needs and purposes, businesses can apply individually or combine the above applications for business activities in the most effective way.

Source: Toptal

About us: TMA Solutions was established in 1997 to provide quality software outsourcing services to leading companies worldwide. We are one of the largest software outsourcing companies in Vietnam with 2,500 engineers

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Artificial Intelligence makes blurry face 60 times sharper

Researchers have developed an innovative product, AI tool that can turn unrecognizable, blurry facial pictures into convincing computer-generated portraits, in sharper detail than ever before.

In previous times, you can scale an image of a face maximum eight times its original resolution. Traditional approaches take a low-resolution image and 'guess' what extra pixels are needed by trying to get them to match, on average, with corresponding pixels in high-resolution images the computer has seen before. As a result of this averaging, textured areas in hair and skin that might not line up perfectly from one pixel to the next end up looking fuzzy and indistinct.

Seeing this setback, a team of researchers came up with a different approach. Instead of taking a low-resolution image and slowly adding new detail, the system scours AI-generated examples of high-resolution faces, searching for ones that look as much as possible like the input image when shrunk down to the same size. They have found ways to take a handful of pixels and create realistic-looking faces with up to 64 times the resolution, so detailed features such as eyelashes or fine lines. 

The team used a tool in machine learning called a "generative adversarial network," or GAN, which are two neural networks trained on the same data set of photos. One network comes up with AI-created human faces that mimic the ones it was trained on, while the other takes this output and decides if it is convincing enough to be mistaken for the real thing. The first network gets better and better with experience until the second network can't tell the difference. From a single blurred image of a face, it can spit out any number of uncannily lifelike possibilities, each of which looks subtly like a different person.

Even given pixelated photos where the eyes and mouth are barely recognizable. The system can convert a 16x16-pixel image of a face to 1024 x 1024 pixels in a few seconds, adding more than a million pixels, akin to HD resolution. Details such as pores, wrinkles, and wisps of hair that are imperceptible in the low-res photos become crisp and clear in the computer-generated versions.

However, the system has yet been able to identify people, the researchers stated at this point, it can not turn an out-of-focus, unrecognizable photo from a security camera into a crystal clear image of a real person. It is only capable of creating new faces that do not exist but look highly realistic.

While the researchers focused on faces as a proof of concept, the same technique could, in theory, take low-res shots of almost anything and create sharp, realistic-looking pictures, with applications ranging from medicine and microscopy to astronomy and satellite imagery. This breakthrough acts as a strong foundation for further innovation research in the near foreseeable future, what will the future hold for AI?

Source: Science Daily

 

About us: TMA Solutions was established in 1997 to provide quality software outsourcing services to leading companies worldwide. We are one of the largest software outsourcing companies in Vietnam with 2,500 engineers.

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AI Helps To Differentiate Between Original Images And Reflections

Nowadays, a lot of tools are used to change and reflect images that many people can not recognize the difference on the other side of the mirror. But Artificial Intelligence can pick up many clues that are difficult for people to notice. AI can differentiate between original images and reflections easily with 60% to 90% accuracy, depending on the kinds of images used to train the algorithm. 

To discover how AI works, the researchers developed heat map technology to indicate the parts of the images that interest the algorithm. The study showed that AI focusing on wristwatches, shirt collars (buttons tend to be on the left side), faces and phones - which most people tend to carry in their right hand. Then they did another study focusing on faces and found that the heat map lit up on areas such as the hair part, eye gaze and beards. Although the researchers don’t understand what information can be found in beards, they hypothesized that the way people comb or shave their faces could reveal handedness.

This study helps to examine how reflected images different from the originals and reveal information about prejudice in machine learning that might lead to inaccurate results. Furthermore, the findings with implications help to train machine learning models and detect faked images.

Source: Science Daily

About us: TMA Solutions was established in 1997 to provide quality software outsourcing services to leading companies worldwide. We are one of the largest software outsourcing companies in Vietnam with 2,500 engineers

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Plugin Online Tracking

COVID 19 promoted the process of digital transformation quickly and urgently. Education has also become one of the leading areas in demand of transformation. Not only during but also after the COVID 19 pandemic, many people probably realize the importance of online learning.

Will online learning really work without someone to supervise children? That is also the question of many parents when they observe the situation of "funny tricks" that their children behave during the online class. Many teachers have tried their best in order to maintain the quality of the lesson but it not really works.

Understanding the concern of parents as well as schools, TMA Innovation Center has created an online learning behavior monitoring plugin. This system will act as a supervisor and record the learning behavior of students. Any attitude of distraction, doing their own works, leaving the class, or even feeling sleepy, et cetera, will inform the teacher/lecturer in charge. Therefore, the quality and effectiveness of the lesson will be improved.

Source: VN AI Hub

About us: TMA Solutions was established in 1997 to provide quality software outsourcing services to leading companies worldwide. We are one of the largest software outsourcing companies in Vietnam with 2,500 engineers.

Visit us at https://www.tmasolutions.com/

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