Artificial intelligence has been a hot topic for the last decade or so. More and more companies are devoting resources to the development of solutions, and it’s easier for specialists to earn top dollar at these companies.
Copyright by Alex Arsic
For instance, statistics show that the median salary for managers and senior computer scientists in is north of $127,000. 84% of company representatives trust
Let’s have a look at how
7 Modern Applications of Artificial Intelligence in Our Everyday Lives
#1 Autonomous Vehicles
Multiple ridesharing app companies such as Didi Chuxing, Lyft, and Uber are taking huge strides in designing autonomous vehicles. Self-driving and parking cars use
According to its website, Nvidia, a technology company, uses
There are installations of the company’s
#2 Predicting User Demand
This application is also common in ridesharing applications. Uber uses
#3 Netflix
The on-demand entertainment company uses
#4 Intelligent Digital Assistants
Almost everyone knows
Digital assistants such as Amazon’s
#5 Vehicle Recognition Identification
A growing number of cities around the world now use
Computer vision is an
#6 Robots
You’ve probably used vacuum cleaners your whole life, but have you heard of the Roomba 980 model vacuum? It cleans the floor by itself using
The vacuum
#7 Transportation
Some of the magic in apps like Uber depend on another subset of
The company uses
Computer Vision
Image Source: Epsiloneg
Computers can now “see” and identify elements or scenarios or even stories in images and videos. One can scan any image or video against familiar entities, including cars and houses, using context-specific logic.
But, algorithms can ascertain additional attributes of the image and characteristics of the various entities in it. These properties may include the number of persons in the picture, their age, gender, or even emotions. If they are vehicles, their types, and brands can be recognized.
Computer vision has plenty of potential. Autonomous cars can “see” everything around them and understand their environment.
Microsoft’s Seeing
Medical examination, navigation systems, online content management,
Machine Talk
Once you encounter Amazon
While
Interaction with digital assistants now goes beyond mechanical Q&A sessions to more natural dialogues. Note that digital assistants are getting increasingly smart, thanks to the massive amounts of data users possess.
Digital assistants will surely act autonomously soon. They should be able to initiate meaningful discussions from non-obvious logic on triggers in the user’s environment. A digital assistant will soon ask random yet meaningful questions. It’ll make relevant suggestions about educational, informational, social, scheduling, and traveling activities that interest you.
Assessing Innovations Trends and Opportunities
The Value and the Concerns
Advancements in
This wealth of data and the increasing ability to automatically make sense of it will provide significant opportunities for improvement across education, health, lifestyle, transportation, and nearly every human activity.
However, there are telling concerns and timely questions concerning the ethical, political, and social implications of
As tasks grow in automation, roles will pale in significance, and grow in redundancy. Some professions will eventually disappear. There are also issues about access and control over the derived knowledge, and the power that
Preparing for the Future
We are at the dawn of the technological revolution, and it’s transforming our world and how we live already. It’s important to be ready.
First, an understanding of the technology should be acquired, along with knowledge of its potential and associated risks. Then, people must enter a life-learning mode to gain new skills and assess new talents relevant to the markets.
Under these new dynamics, states will have to adapt by modernizing laws, social programs, frameworks, and the education system. Thought leaders need to introduce proper rules and global agreements to avoid the centralization of power and control over technology and data.
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