Machine Learning

14 Ways Machine Learning Will Affect Your Everyday Life

14 Ways Machine Learning Will Affect Your Everyday Life

Machine learning and artificial intelligence (AI) are now the most important innovations since the invention of the microchip. AI was once a far-fetched concept that came from science fiction. But it is now common reality. Deep learning is a breakthrough in machine learning that mimics the processes of neurons in the brain. Neural networks are helping to open the door to “deep learning” which is a form of neural network.

If we can harness the power of machine learning, we can live happier, healthier, more productive lives.

AI may be the next “industrial revolution.” While the previous Industrial Revolution was based on physical and mechanical strength and will continue to do so, this new revolution will harness mental- and cognitive abilities. Computers will eventually replace manual labor and mental work. How exactly is this possible? Is it already happening?

These are 15 ways that artificial intelligence and machine learning will have an impact on your daily life.

1. Intelligent Gaming

You may recall 1997 when IBM’s Deep Blue beat Gary Kasparov in Chess. If you don’t remember, Google DeepMind’s Algo defeated Lee Sedol in 2016, the Go world champion.

Computers can’t master Go, an ancient Chinese game that is much harder than chess. AlphaGo was trained to play Go by studying the moves of the best players and by practicing the game against itself many times.

Also read: Top 10 Machine Learning Applications in Real World

2. Auto-Driving Cars & Automated Transportation

Are you a frequent flyer? You’re likely to have experienced transportation automation in action. Modern commercial aircraft employ FMS (Flight Management System), which combines GPS, motion sensors, and computer systems to track the plane’s position during flight. The average Boeing 777 pilot only spends seven minutes flying the plane by hand, with many minutes spent during takeoff or landing.

It is harder to make the leap into self-driving vehicles. There are many obstacles to avoid and more cars on the road. Also, there are traffic patterns and rules that must be considered. Self-driving cars are already a possibility. According to a study involving 55 Google vehicles that have traveled over 1.3 Million miles, these AI-powered cars are safer than human-driven cars.

The navigation problem has been resolved long ago. Google Maps already uses location data from your smartphone. It can compare the location of a device between different points in time and determine the speed at which it is moving. It can also determine the speed of traffic in real-time. The data can be combined with incident reports from users to create a picture of traffic at any moment. Based on accidents, traffic jams, or construction work between you and your destination, maps can suggest the fastest route.

What about the skill actually driving a car. Machine learning allows self-driving cars instantaneously to adapt to new road conditions and learn from them. Onboard computers can make split-second decisions faster than trained drivers by continuously parsing through streams of sensor and visual data.

3. Cyborg Technology

Our bodies and brains are not perfect. According to Oxford C.S. Professor Shimon Whiteson claims that technology will advance to the point where we can augment our weaknesses and limitations using computers, thus enhancing many natural abilities.

Wait! Before you begin to imagine dystopian worlds made of flesh and steel, think about the fact that most people are “cyborgs” at heart. What number of people do you know that could live without their smartphone? These handheld computers are essential for communication, navigation, and learning, as well as receiving important news and other information.

Nest’s Yoky Matsuoka believes that AI can be used to aid people with amputated legs. The brain will one day be able to communicate with a robotic leg. This technology will allow amputees to have more control and lessen the daily limitations they face.

4. Taking Over Dangerous Jobs

Bomb disposal is one of the most dangerous careers. These dangerous jobs are being taken over by robots, or more technically drones. Most of these drones need to be controlled by humans. These tasks will be automated by robots with artificial intelligence as machine learning technology improves. This technology alone has saved thousands of lives.

welding is another job that robots are taking over. This type of work can cause noise, heat, and toxic substances to be released into the air. These robot welders cannot be programmed without machine learning to work in a specific location. Computer vision and deep learning allow for greater flexibility and accuracy.

5. Environmental Protection

Machines have the ability to store and access far more data than anyone, including mind-blowing statistics. AI could use big data to identify trends and find solutions to previously unsolvable problems.

IBM’s Green Horizon Project, for example, analyzes environmental data collected from thousands of sources and sensors to produce accurate and evolving pollution and weather forecasts. It allows city planners and engineers to simulate “what-if” scenarios, as well as to model mitigation strategies.

This is just the beginning. Every day, new innovative products that are environment-oriented enter the market. These include self-adjusting smart thermostats and distributed energy grids.

6. Digital Empathy and Robots as Friends

Robots are still largely emotionless. A Japanese company has taken the first steps towards a companion robot that can feel and understand emotions. The Pepper companion robot was introduced in 2014. It went on sale in 2015. All 1,000 units sold out in less than a minute. The robot can read emotions and develop its own to help humans stay happy.

7. Improved ElderCare

Many seniors find it difficult to do everyday tasks. Many seniors have to rely on their families or hire help from outside. Many families are becoming more concerned about elder care.

Matthew Taylor, a computer scientist at Washington State University, believes that AI is now at a point where it can replace this need. In-home robots could assist elderly relatives who are unable to leave their homes. This solution allows family members to be more flexible in caring for a loved one. These robots can assist seniors with daily tasks, and they will allow them to remain independent and live in their own homes as long as they wish. This will improve their overall health and well-being.

Infrared cameras have been used to detect elderly persons falling by medical and AI researchers. Medical specialists and researchers can monitor alcohol, food, restlessness, fevers, urinary frequency, and fluid intake.

8. Enhanced Health Care

The good news is that hospitals may soon be able to trust an AI with your health and wellbeing. Machine learning is used to reduce hospital-related illness and accidents in hospitals. AI is also helping to solve some of medicine’s most difficult problems. For example, predictive models allow researchers to better understand gene diseases.

Before they could diagnose or treat patients, healthcare professionals had to manually review large amounts of data. High-performance computing GPUs are now key tools in deep learning and AI platforms. The rapid delivery of real-time insights by deep learning models is helping healthcare professionals diagnose patients quicker and more accurately. This, in combination with an explosion of computing power, allows them to develop new drugs and treatments faster, reduce medical and diagnostic errors, anticipate adverse reactions, and lower healthcare costs for patients and providers.

9. Innovations in Banking

Take into account how many people have a banking account. Consider the number of credit cards in circulation. What number of hours would it take to sort through thousands of transactions every day? Your bank account or credit card could be closed by the time that they notice an anomaly.

AI can be used to help banks and credit agencies identify fraudulent behavior by using location data and purchasing patterns. These machine learning-based anomaly detector models monitor transactions. They detect patterns in transactions and alert users to suspicious activity.

Before they process your payment, they can confirm that you purchased the item. Although it may seem awkward if you are eating out at a restaurant on vacation, it could save you thousands of dollars.

10. Digital Media Personalization

Machine learning is a huge potential for entertainment, and it has found a home in streaming services like Netflix, Amazon Prime, Spotify, and Google Play. Certain algorithms can be used to reduce buffering and lower-quality playback. This will allow you to get the best internet service provider quality.

The almost limitless stream of data that consumers view is also used by ML algorithms, which allows streaming services to offer better recommendations.

These algorithms will be more helpful in the production of media. NLP (Natural Language Processing), algorithms are used to create trending news stories, reducing production time. A new MIT-developed AI called Shelley allows users to write horror stories using deep learning algorithms and a repository of user-generated fiction. The next great content creators might not even be humans at this rate.

Also read: 5 Ways Machine Learning to Improve Your Digital Marketing

11. Home Security and Smart Homes

Many homeowners are looking for the best home security technology, such as AI-integrated cameras or alarm systems. These innovative systems combine machine learning and facial recognition software to create a list of frequent visitors to your home, which allows these systems to instantly detect uninvited guests.

AI-powered smart houses also offer many useful features such as tracking your dog’s last activity or notifying you when your children return from school. These systems are able to call emergency services automatically, which makes them an attractive alternative for subscription-based services.

The home will be able to use AI for convenience. AI, when combined with appliances could make household management and housework seamless.

Artificial intelligence-powered apps that allow the oven and pantry robot to communicate with each other would be like home chefs. You would never run out of food or supplies again with instant replenishment. The scheduling of cleaning could be done through sensor-appliance connections. After that, robotic cleaners would operate almost entirely independently from humans.

Smart homes also offer the opportunity to reduce household waste and automate recycling, which will help bring the household into balance with the environment. The benefits of removing humans from the housework can be significant in terms of sustainability, time savings, stress reduction, and improving longevity.

12. Streamlined Logistics and Distribution

Imagine receiving a package within a matter of hours at a very affordable shipping cost. This is the promise of AI in logistics, distribution and its promise to manage the huge amounts of data and make decisions in the trillion-dollar logistics and shipping industry. Amazon has begun to experiment with autonomous drones, which will blow away their two-day shipping times.

Shipping costs are very expensive right now. Shipping costs will drop dramatically if AI integration and automation are used to improve efficiency. This will also lead to faster delivery times. Shipping will be made easier and more efficient by optimizing supply chain management, vehicle maintenance, inventory, and stock.

13. Digital personal assistants

Imagine not having to worry about cooking dinner because your personal assistant will know what you like, what you have in the pantry, and what days of the week you prefer to cook at home. Imagine your grocery list waiting for you at home when you return from work. Even a bonus recipe is included for a dessert that you have been wanting to make.

The smarter digital assistants get every year. Amazon and Google have invested billions of dollars to make digital assistants more accurate at speech recognition and learn about our daily lives, opening up the doors for more complicated tasks.

14. Brick and Mortar, and Artificial Intelligence

Georges Nahon is the CEO of Orange Silicon Valley. He sees a day when there will be no need to wait in line for a product. He says that tech and retail merge like Amazon and Whole Foods. “Thanks to AI the face will become the new credit card and driver’s license. With the adoption of biometric capabilities, facial recognition has already transformed security.

Some people believe that e-commerce will wipe out the traditional retail market. However, it is more likely that they will reach some kind of equilibrium. It is evident that even traditional retailers are beginning to use AI-powered technologies to increase their competitive advantage.

The most obvious use of this technology is in finance and investing, but there are many other areas that could benefit from it, such as ad tech and agriculture.

The Bottom Line

Artificial intelligence is not a new concept, as many have wisely noticed. Artificial intelligence has existed since the inception of computing. It has been a dream of pioneers to create intelligent learning computers.

The most promising AI approach currently is applied machine learning. We don’t want to try to encode machines with all the information they need (which would be impossible), but we want them to learn and then to learn.

Written by
Barrett S

Barrett S is Sr. content manager of The Tech Trend. He is interested in the ways in which tech innovations can and will affect daily life. He loved to read books, magazines and music.

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