Different Examples of Artificial Intelligence

Artificial Intelligence is very popular in every industry today may it be healthcare, agriculture, aviation, or media. Slowly machines and technology have taken over most of the sectors. 

 

There are several examples and applications of artificial intelligence in use today, ranging from voice-powered personal assistants like Siri and Alexa to more underlying and fundamental technologies like behavioral algorithms, suggestive searches, and autonomously-powered self-driving vehicles with powerful predictive capabilities. 

 

In this article, we have discussed the recent innovations of Artificial Intelligence that are used in day-to-day life. 

 

Top examples of AI:

 

1. AI has completely dived into Robotics:

 

Roboticists believe that robots are programmable devices that do tasks, but no one knows where that definition stops. Today's AI-powered robots, or at least those believed to be such, lack natural general intelligence, although they can solve problems and "think" in a limited way. 

 

Roboticists believe that robots are programmable devices that do tasks, but no one knows where that definition stops. Today's AI-powered robots, or at least those believed to be such, lack natural general intelligence, although they can solve problems and "think" in a limited way.

 

Some exceptional works of the robotic industry that are worth discussing are given below. All of these examples are sourced from an article written by built-in.

 

• iRobot:

 

Artificial intelligence is used in the Roomba 980 model to scan room sizes, recognize obstructions, and recall the most effective cleaning paths. The self-deploying Roomba can also estimate how much vacuuming is required based on the size of a space, and it cleans floors without the need for human intervention. 

 

The company began its pure customer-centric business in 2016 and generated $883.9 million in sales by 2017.

 

• Hanson Robotics:

 

Hanson Robotics creates artificial intelligence-enabled humanoid robots for both the business and consumer industries. Sophia, built by Hanson, is a very advanced social-learning robot. 

 

Sophia can converse well with natural language and utilize facial expressions to portray human-like emotions thanks to AI. Sophia has become something of a media star in recent years, appearing on a number of talk shows. The robot has even received Saudi Arabian citizenship.

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Picture of Sophia (sourced from NDTV)

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Hanson intends to release a complete line of Sophia-like robots, which they anticipate will find instant usage as media characters in films and television shows, amusement animatronics in museums and theme parks, and academic research and medical training.

 

• Emotech:

 

Olly is a voice-controlled AI assistant comparable to Amazon Alexa or Google Home, but with one major difference: Olly's personality changes over time. Olly's personality is the result of a combination of machine learning algorithms that train the robot to become more like its owner over time.

 

Emotech's AI-powered technology can recognize a user's facial expressions, vocal inflections, and speech patterns in order to initiate conversations and provide relevant recommendations. 

 

When deciding what to do next, the little, robotic table-top assistance may also move, orienting itself toward the user. Olly's talents are significantly superior to what conventional voice assistants can achieve. 

 

To know how Olly works, watch this video: 

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2. AI has made commuting the easiest:

 

Commuting time reduction is a difficult problem to overcome. Construction, accidents, road or train maintenance, and weather conditions can all disrupt traffic flow without warning. Furthermore, depending on changes in population count and demography, local economy, and zoning rules, long-term trends may differ from historical statistics. 

 

According to a 2015 report from Texas A&M University's Texas Transportation Institute, commute times in the United States have been steadily increasing year over year, resulting in 42 hours of rush-hour traffic delay per commuter in 2014—more than a full work week—and an estimated $160 billion in lost productivity. 

 

Let us look into some AI-based commuting systems that have made our life easier:

 

• Google Maps (Maps):

 

By now, everyone has used Google maps to discover routes and assess traffic speeds at any given time. Maps can also more readily include user-reported traffic issues like construction and accidents, thanks to its acquisition of crowdsourced traffic software Waze in 2013. 

 

Maps may shorten commutes by proposing the quickest routes to and from work thanks to massive quantities of data supplied into its proprietary algorithms like Dijkstra's algorithm.

 

• Uber/Lyft:

 

Ridesharing apps like Uber, Ola, or Lyft are very convenient and popular These use Machine learning algorithms to determine the rates of travel and minimize travel time. 

 

In an NPR interview, Uber ATC Engineering Lead Jeff Schneider highlighted how the firm employs machine learning algorithms to estimate passenger demand, ensuring that "surge pricing" will soon be obsolete. 

 

Danny Lange, Uber's Head of Machine Learning, revealed that the company uses machine learning for ETAs, projected meal delivery times on UberEATS, computing ideal pickup locations, and fraud detection.

 

(Must read: 5 ways ML helps in Uber Services Optimization)

 

3. AI has made cars automatic:

 

Self-driving automobiles are the final proof that we have arrived at the end of the road. Self-driving technology, which was once deemed science fiction, is progressively making its way closer to becoming a reality. 

 

The self-driving automobile industry's future is being driven by artificial intelligence. These vehicles are equipped with sensors that continually monitor what is going on around them and use artificial intelligence algorithms to make the necessary modifications. 

 

Thousands of data points, such as automobile speed, road conditions, pedestrian location, other traffic, and so on, are captured every millisecond by these sensors, which employ AI to help analyze the data and respond accordingly- all in the blink of an eye.

 

Some of the famous automatic car companies are given below:

 

• Cruise:

 

Cruise is at the forefront of self-driving technology. The company's self-driving vehicles are among the world's first to reach the road, relying on artificial intelligence to guide them. 

 

Every every day, self-driving cars acquire a petabyte of data. This large data collection is used by AI to continuously learn about the best safety measures, driving styles, most efficient routes, and so on, to provide the rider with the ultimate confidence that they are safe. 

 

Cruise is now utilizing artificial intelligence to power its self-driving automobiles, as well as their "Cruise Origin," a self-driving electric shared vehicle. In San Francisco alone, the sci-fi-looking car has logged over 1 million kilometers without a single fender collision.

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Picture of Cruise Origin (Source from get cruise)

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• Waymo:

 

Google's self-driving car initiative is known as Waymo. Individuals, rideshare drivers, and huge trucking firms may all benefit from the company's AVs, which are intended to satisfy the demands of drivers all across the country. 

 

Waymo's vehicles have already traveled millions of miles across more than ten states, collecting and analyzing data with AI along the way. Each Waymo car collects data and utilizes artificial intelligence to predict what will happen next, thanks to a sophisticated set of sensors. 

 

Waymo cars use AI to assess conditions and generate safe predictions for the best next actions without the need for a person to touch the steering wheel.

 

(Related reading: Self Driving Car Companies)

 

 

4. AI is now helping the Banking industry:

 

Machine learning and artificial intelligence are also frequently used in regular financial operations. Different financial activities have now been made easier by AI, making them less complicated for the general public. Some of the ways, as written by emerj are:

 

• Mobile Check Deposits:

 

Most big banks provide a smartphone app that allows consumers to deposit checks without having to physically deliver them to the bank. 

 

According to a 2014 SEC filing, Mitek's technology, which employs AI and ML to decode and translate handwriting on checks into text using OCR, is used by the great majority of large banks.

 

• Credit Decisions:

 

When people apply for a loan or a credit card, the financial institution must decide swiftly whether to approve the application and, if so, what terms (interest rate, credit line amount, etc.) to give. 

 

FICO employs machine learning to create your FICO score, which is used by most banks to make credit decisions, as well as to determine the particular risk assessment for each client. Machine learning, according to MIT researchers, may cut a bank's losses on delinquent clients by up to 25%.

 

• Fraud Prevention:

 

In most circumstances, the volume of daily transactions is just too big for people to manually evaluate each one. Instead, AI is being utilized to develop systems that can learn whether transactions are fraudulent. 

 

To predict fraudulent transactions, FICO, the business that provides the well-known credit scores used to evaluate creditworthiness, uses neural networks. 

 

Recent transaction frequency, transaction size, and the type of merchant engaged are all factors that might influence the neural network's ultimate result.

 

 

5. AI has revolutionized the healthcare industry:

 

Artificial intelligence is proven to be a game-changer in the healthcare business, enhancing nearly every element of the industry from robot-assisted operations to protecting personal information from cyber hackers. 

 

Virtual assistants with AI are reducing unnecessary hospital visits and giving nurses 20% more time in the process; workflow assistants are freeing up 17% of doctors' schedules.

 

Let us look at some companies that are using AI in the healthcare industry:

 

• Well:

 

Well guides people along the correct health path depending on their pre-existing diseases, ongoing health issues, and gaps in general health knowledge, thanks to a unique AI-driven "health engine" that helps tailor health recommendations for each user. 

 

The health engine combines personal and external health data to provide informed advice based on other user experiences, as well as points that can be redeemed at stores for completing challenges and supporting communities. 

 

The health engine assists users with everything from screenings and questionnaires to prescription support, vaccination advice, recommended doctor visits, and specific condition guidance, as well as providing points that can be redeemed at stores for completing challenges and supporting communities.

 

• Pager:

 

Pager is a virtual assistant that assists people with minor aches, pains, and diseases. Machine learning is used by the firm to evaluate clinical and claims data to find gaps in a patient's healthcare treatment. 

 

This concierge-style service lets patients book appointments and make payments in addition to giving healthcare suggestions. The Pager app allows users to communicate with a nurse 24 hours a day, video chat with a doctor, and get medicines dispensed as required.

 

It's no surprise that AI is gradually taking over most businesses and making daily tasks simpler. We've included the top five sectors that are using AI to advance, along with examples, in this post.