By Decire Gonzalez KC'S BLOG • • • • • • 0 Comments

Blue Eyes Technology

Given the vast usage of digital technologies, it is no secret that we live in the "Information Age", sometimes referred to as the "Digital Age". From consuming hours each day on social media to utilizing artificial intelligence (AI) at work to perform our duties.

As the ongoing evolution of digital technologies continues, some traditional industries have been progressively dying, while others have been able to adopt and thrive with the changes. When new technologies evolve, new dialogues on emerging technologies also give rise to open topics to debate both their advantages and disadvantages. Blue Eyes technology is one of the latest merging technologies that has been causing discussions throughout a vast range of industries due to its perceptual and sensory abilities, like those of human beings. The three main elements that give Blue Eyes Technology human beings ability are a computer, software, and a camera. Blue Eyes Technology’s program has an algorithm design that analyzes the computational pictures the camera takes of the user's eye movements to ascertain the user's intention. This allows Blue Eyes Technology to detect our human emotions, identify us, and even have one-on-one interactions like human beings. Blue Eyes Technology has a wide range of programs that can currently be available to boost productivity in many industries, including biometrics, education, and healthcare, to increase efficiency by minimizing the work of humans while implementing speed, convenience, and accuracy. However, a disadvantage of Blue Eyes Technology is the high cost of the maintenance and repairs, which, if not done correctly, can negatively impact the accuracy of the program. Additionally, if the programs are not maintained regularly, this can also compromise the security of the stored data. Furthermore, statistics indicate that a significant number of workers are apprehensive and think that Blue Eyes Technology would supplant people in the job; however, computers are only as good as their programming allows. Therefore, employers must decide if Blue Eyes Technology will be cost-efficient and beneficial for their specific industries.

By Decire Gonzalez KC'S BLOG • • • • • • 0 Comments

What is Artificial Intelligence and Machine Learning?

Artificial intelligence (AI) and machine learning (ML) are the two interconnected digital technologies that have been transforming engineering designs side by side. According to Britannica, AI is defined as “the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings.” While ML is defined by IBM.com as “a branch of AI and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.”

In 1964, John McCarthy, a professor at Stanford University teaching computer science, coined the term AI. AI is designed to simulate human intelligence based on behaviors such as reflexivity, memory, theory of mind, and self-awareness. These behaviors are controlled by triggers and commands and can be simulated. ML was created to assist software programs in making more accurate predictions from historical data. Reinforcement learning, supervised learning, and unsupervised learning are the three types of ML algorithms.

Some examples of digital technologies that use AI and ML in our daily lives include text editors, autocorrect, maps, and navigation systems. Additionally, because it enables more accurate engineering designs, AI and ML have developed into crucial identifying tools. Engineers can adapt each design using the software to the demands and preferences of the client. Also, the software can handle minor issues by itself, freeing up engineers to work on more difficult issues.

Due to their ability to speed up and boost the efficiency of work, AI and ML software will continue being the present and future of engineering designs.

 

By Aliyah Thomas KC'S BLOG • • • • • • 0 Comments

How AI is Changing the Construction Industry

With routine development of advanced technology, the construction industry remains well-poised to reap the benefits from the likes of artificial intelligence (AI) and robotics.

Compared to other markets, AI remains a marginally small factor in the under-digitized construction industry. However, the presence of fast-growing technology sets AI on track to have a much greater impact in the future.

According to a 2017 McKinsey report, AI has a place in nearly every construction phase, from design through post-construction and every minuscule task in between.

AI is suited to overtake four major components of construction: planning or design via simulation of maps, construction plans, and blueprints; administration, where AI is adept to manage and control tasks in a streamlined fashion; construction methodology, done by providing a basis and guide for construction; and post-construction, where AI can be implemented into completed structures.

However, the primary concern for AI is industry takeover, a theory that construction workers will be replaced by computers created to perform the same tasks with arguably more accuracy and less human error.

While there’s no denying the benefits of AI and robotics in construction, there are certainly a number of associated risks.

Other industries, such as fast-food, finance, and grocery stores have already seen a reduction in workforce numbers because of advances in computer technology. What’s more, talk of AI taking on industries such as health care and transportation have become less-farfetched as these ideas inch ever-closer to becoming reality.

And, while the thought of perfecting processes and systems sounds appealing, the idea of the world we live in being inundated by AI that is unable to deliver the human touch or incapable of accommodating anomalous circumstances, due to a lack of breadth in data, is not.

By defaulting all responsibilities to an artificial system, we ultimately run the risk of putting complete—and excessive—trust into a system only as good as the inputted data, losing human compassion and judgment, and displacing workers.

No matter the consensus on AI in construction, there’s no doubt that it’s here to stay.