Last Updated on April 2, 2021 by Henry John
Do you want to know or see what artificial intelligence is like?
If yes, then relax because you are in for a treat.
In this article am going to list lots (a lot) of examples of artificial intelligence that are in existence in today’s world.
These examples span across different industries, they are things you can relate with and they pass on a general idea of what is considered artificial intelligence today.
Before you start jumping into the examples, I really think you should know what is considered artificial intelligence.
Artificial intelligence is the ability of something made by man to be aware of or infer information, apply the information gained as knowledge in order to adapt to new situations.
According to SAS institute, ‘artificial intelligence makes it possible for machines to learn from experience, adjust to new inputs and human-like tasks’.
Most of the smartphones we use today, have lots of AI-powered features such as facial recognition.
Anytime you put your phone before your face, and it recognizes your face, through your phone you just interacted with artificial intelligence.
Ordinarily machines cannot tell the difference between your face and mine (they were that dumb).
AI systems are intelligent enough to know and remember your face.
Did I just gave you an example of artificial intelligence?
Let me get straight to the list before I exhaust them in this intro.
Here are some examples of artificial intelligence.
Examples of Artificial Intelligence in Homes
Homes are where AI systems are gaining some due recognitions, and I want that trend to continue upwards.
Obviously (for me), because I work from home, live alone (for now) and would appreciate autonomous machines that will make my stay at home stress-less.
There are a lot of AI home devices that do really cool (intelligent) tasks. They are very functional and are getting better with every update/upgrade.
Here are some examples of artificial intelligence in homes:
Alexa as it’s fondly called, is a popular AI virtual assistant, first used in the Amazon Echo (a Smart Speaker) and the Amazon Echo Dot (a cheaper smart speaker).
It was developed by Amazon (obviously) and is capable of a lot of things.
Alexa is capable of voice interaction with humans, making a to-do list, providing real time information on things such as weather reports, news, and traffic; and controlling several smart devices.
Alexa is not the only AI virtual assistant, there is Siri (developed by Apple), Google Assistant (developed by Google), and Bixby (developed by Samsung) among others.
Each of these virtual assistants have their respective smart speakers.
Homepod, Google Home and Galaxy Home for Apple, Google and Samsung respectively.
iRobot Vacuum Cleaners
iRobot are a pioneer in autonomous (robotic) vacuum cleaners. These autonomous robot vacuums as the name implies are capable of cleaning the floor of your home autonomously. Whether its carpet or wooden floor, they work just fine.
iRobot vacuum cleaners are one of the best robotic vacuums powered by artificial intelligence. They are really cool and come with impressively functional features.
They can automatically detect dirt, avoid obstacles, are pet friendly, dispose dirt and charge themselves autonomously when they are running out of power.
But in spite of how great iRobot vacuum cleaners are, they are not the only great autonomous vacuum cleaners in the market today.
There are the Eufy Robovac, Roborock, Samsung Powerbit, LG HomBot and the ECOVACS Deebot among others.
Philip Hue Smart Bulbs
Smart bulbs powered by artificial intelligence are a popular example of AI, because smart bulbs themselves are popular, and Philip Hue Smart Bulbs are one of the best in today’s market.
Smart bulbs are really all about giving you a connected and remote-less control of your home/office lighting.
Most smart bulbs are controlled using an App but the Philip Hue Smart Bulbs can tap into the power of artificial intelligence and give users more flexible control. Like it does with its voice control feature using AI virtual assistants.
In essence, you can control lights in your home or office with your voice, that’s not just smart but intelligent for any device.
The Philip Hue smart bulbs offer users over 16 million colors to instantly change the look and feel of their rooms (or any space).
It can recognize when you are nearing your home and automatically turn on the lights. Of course, there are many other smart bulbs with cool AI-powered features.
Nest Learning Thermostat
Underline that word ‘learning’, because that’s what makes AI systems unique. AIs are unique because they can learn and use what they learn to make future decisions.
The Nest Learning Thermostat is an AI Thermostat that learns what temperature you like at different time and build a schedule around that.
It’s actually the first thermostat to get ENERGY STAR Certification.
So far, it has been able to save its users over 47,500,000kw of energy and still counting.
The Nest Learning Thermostat is owned by Google and that alone tells you that it’s a world class AI thermostat (at least in this case).
It has a temperature sensor that enables you control the temperature of different rooms in your home/apartment and it is able to know when you walk in and out of a room.
Really cool, functional and intelligent.
LG TVs with ThinQ
When you watch those futuristic movies and see them portray really cool and functional stuff, you probably think “those things only exist in the movies”.
But not at all.
Some of those cool stuff we see in the movies are not futuristic, they are presentistic (where did I dig that word ‘presentistic’ from?).
LG TVs with ThinQ are one of those cool presentistic techs.
You probably need to watch this video to have a moving picture of what am saying.
These LG TVs connect/integrate with virtual assistants like Alexa and Google Assistant (the very best). They can enable users to ask questions while watching their favorite contents and allows them to see the answers on the screen.
Through LG TVs with ThinQ or with its remote controller, users can control other smart home devices like MAGIC. No wonder, the remote controller is called “magic remote”.
The floor of homes are not the only thing that AIs can clean up.
They can also mow the lawns in your backyard.
AIs that mows lawns are no news any more (to most of US). They have been around throughout the last decade and are really popular in the western world.
Robomow’s robotic lawn mowers are one of the very best and have been around for over 2 decades.
They allow you reclaim your weekends, by mowing your lawns autonomously, speedily and easily.
Robomow’s mowers are lawn-friendly (they won’t mess with your lawns), user-friendly, and family friendly.
Keep your grass greener and be the envy of your neighbors by doing absolutely nothing, other than purchasing an autonomous robotic lawn mower.
Beyond Robomow’s mowers, there are other great robotic lawn mowers such as Husqvarna Automower, Worx models and Honda Miimo among others.
“the smoke alarm that thinks, speaks and alerts your phone” Nest Protect
The Nest Protect is another incredible example of artificial intelligence in homes. It is a smoke alarm developed by Google and is able to detect smokes and tell you where the danger is on your phone.
To put the icing on the cake, this AI-powered smoke alarm can tell the difference between steam and smoke; only few smoke detectors can accomplish this feat.
Most people that have a smoke alarm know that they are supposed to test them at least once a month. Heck!
Who tests smoke alarms at their home once every month?
9 out of 10 of people with smoke alarms in their homes don’t carry out this test.
Don’t expect me to answer that. But I can say that the Nest Protect is capable of testing itself by itself and with it no one really needing to do any monthly testing.
The power of artificial intelligence.
Examples of Artificial Intelligence in Transportation
We all move around from one location to another, don’t we?
I think most people (99.9%) do.
And even though I fancy working from home, I often need to go out for some reason. There are different ways people choose to move around depending on the distance, situation and cost (mostly).
For really short distance most of us would make use of our LEGedes Benz and for long distance, some of us will choose to go by an airplane, train (or the Boring Company’s Hyperloop).
About the Hyperloop, Musk and his team are yet to get it ready, so we can go from place to place underground.
The point: Transportation is an integral part of our world, whether it is the transportation of goods or of people. And Artificial intelligence is becoming an integral part of contemporary transportation systems.
Here are some examples of artificial intelligence in transportation:
Tesla Autopilot is a semi-autonomous driving system (an advanced driving assistant) that assist Tesla car (Model S, X, Y and 3) drivers with some of the most burdensome part of driving.
It has features such as lane centering, adaptive cruise control, self-parking, autonomous navigation and the ability to be summoned from the garage or parking spot.
You read that right.
It has the ability to be summoned.
The Autopilot feature in New Tesla cars are part of its broad vision for fully autonomous cars.
Tesla Autopilot is still regarded as a semi-autonomous driving system because it still requires active supervision from human car drivers.
Beyond Tesla’s drive towards achieving a full self-driving, many other companies are also driving towards the same goal of developing and deploying fully autonomous vehicles on the road.
Google’s Waymo, General Motor’s Cruise, Baidu’s Apollo and Ford backed Argo AI among others are all driving towards achieving full self-driving for vehicles, in what is popularly known as the “Self Driving Car Race”
Reports from Zdnet suggests that Google’s Waymo is leading the race and Elon Musk’s Telsa are not even in their top three. Anyways, here is my list of top self-driving companies in 2020.
Boeing Airplane Autopilot
While many companies are actively racing each other in the self-driving car race, Boeing is leading the development of Autonomous Airplanes, edging every other company significantly.
The Elephant in the room.
The Boeing 737 Max Autopilot was potentially flawed and has led to loss of lives (May the soul of these victims rest in peace). This has raised concerns on Airplane Automation.
But the technology has proven to be a step in the right direction when it worked just fine.
Just as I was writing this piece, I got reports that a Boeing 737 plane crashed in Iran (it’s January 7th, 2020).
I doubt this has anything to do with the Autopilot feature anyways.
Many reports are flying around.
Was the plane shot down by a missile?
As Ukraine refused to rule out the possibility that the plane was shot down by a missile.
176 people on board, all died.
I am feeling really sad writing this article now.
Autopilot or no Autopilot things go wrong.
And this are one of the major reasons why we should step into AI development with great caution.
The Boeing Autopilot system is powered by artificial intelligence and ideally it’s meant to take passengers from one location to another with human pilots only taking care of takeoff and landing.
Miami-Dade Smart Traffic Light
This is one of the numerous examples of artificial intelligence in transportation.
Late July, 2018, the Miami County launched a smart traffic light system in a portion of Miami Gardens Dr. and U.S. 1.
The smart traffic light is a vehicle control systems that uses artificial intelligence to route vehicle and pedestrian traffic.
When the system was activated, the County Media in a press release noted that commuters will start seeing more green lights and save travel time.
This system works almost as good as having a human traffic control agent. One doesn’t have to wait until it counts to 0 and the subsequent display of the green light, especially when there is no opposing or intersecting traffic anywhere close.
Time Saving, right?
This kind of traffic control system is also being implemented in different part of the world, most notable, in China.
Examples of Artificial Intelligence Robots
For some people AI is AI if it is Robotic AI.
Artificial intelligence has been an attempt to replicate human intelligence and in its development across 60+ years, AI developers also attempts to give to give it a more memorable and relatable body.
We can’t see intelligence whether human or in this case artificial. So giving AI systems bodies of their own makes them more relatable to the average human. This also enables them to carry out intelligent tasks that requires a physical body.
When you tell a layman that facial recognition system in smartphones is an example of artificial intelligence, he/she will find difficulty in comprehending this fact.
I am talking from my experience here.
But if the same layman sees an AI powered robotic vacuum cleaner doing its job, you probably hear him say “wow, that device is super intelligent”.
According to Britannica, “A robot is any automatically operated machine that replaces human effort, though it may not resemble human beings in appearance or perform functions in human-like manner”.
Robots are machines with movable bodies and when they are powered by artificial intelligence, they become capable of carrying out task deemed as ‘intelligent’ autonomously.
Here are some examples of artificial intelligence robots:
Sophia the Robot
She is really popular and reputed for a social humanoid robot.
Sophia is a humanoid robot developed by Hanson Robotics in Hong Kong. She is a social robot powered partly by artificial intelligence with an outstanding ability to interact with humans.
If a non-techie asks me, “what is an example of an AI robot?”, I will probably answer, “Sophia the Robot”.
Sophia is really how most people expects an AI Robot to be, with relation to its ability to interact.
This social robot is a household name in the AI Robot world. She has appeared publicly in the Tonight Show, Good Morning Britain, Today’s Show and in hundreds of conferences worldwide.
In all of her recent public appearances, she seemingly exhibit human level of intelligence in her interactions and that really amazing.
The first time I watched Sophia on a YouTube video, my jaw dropped. Although, I later found out that some of her words are human generated.
Sophia is the first robot citizen of a country, having been issued a Saudi Arabian citizenship. She is also the first robot ambassador for the UN Development Programme.
Unlike Sophia, Temi is a personal robot that is available for sale. It is likewise powered by artificial intelligence.
As Sophia is not available for everyone at anything, Temi is available for everyone at anything.
Temi is capable of interacting with humans, autonomous navigation, and offers dynamic video and audio experience.
It integrates well with Amazon’s Alexa and enables users to control their smart home devices by talking to Temi.
Temi does not look like a human being, but it has a really functional appearance. It has the ability to save different locations in your house/apartment and make you feel at home, even when you are not at home.
AI-Da is the world’s first robot artist.
It is an artificial intelligent humanoid robot that is capable of producing great drawings, paintings and sculptures.
AI-Da was named after Ada Lovelace, the first person to recognize that the Analytical Engine (world’s first designed computer) can be applied in applications beyond calculations.
Aibo is a popular series of robotic pet dogs that was designed and manufactured by Sony. It is an artificial intelligence companion robot pet.
It was designed to keep its user company, serving as a beloved robotic pet dog.
Aibo can perform a number of tricks such as shake hands, give high fives, sit down, play dead, dance, take a photo, sing, fetch his bone (yes! it has a special bone, dogs love their bones) and kick a ball, among numerous other things.
Examples of Artificial intelligence in Healthcare
Artificial intelligence is leaving a huge footprint in the healthcare sector. Intelligent systems are being deployed in different ways in a bid to save lives by eliminating or reducing the degree of human errors; making processes more effective and efficient.
There are numerous AI systems that augment and sometimes replace (reduce the number of) health practitioners in varying fields.
Here are some examples of artificial intelligence in healthcare:
Ada is a symptom checker that uses artificial intelligence to proffer medical diagnosis.
The app works really well and helps reduce health related anxiety.
I have been using Ada personally since 2019 and I can say almost ambitiously that the app is the equivalent of an average experienced human doctor.
One night I was having some symptoms that I felt was a sign of a really bad medical condition, I became engross with anxiety.
Then, I decided to open the Ada app on my Android Phone. I answered a series of questions and it kind of diagnosed me. Based on its findings, it was not a red alert medical condition and I became less anxious.
Although, Ada strongly noted that “its recommendations are not a medical diagnosis” and I should visit a human doctor as soon as possible.
The next morning, I went to see my human doctor (not telling him what Ada diagnosis was). After carrying out some test, my Doctor confirmed that my condition was 100% what Ada said it was the night before.
I was really happy to have Ada installed on my phone that night, calming me down. And I still have Ada on my phone everywhere I go.
This is an artificial intelligence robot that is capable of fitting implants in a patient’s mouth without any human involvement.
In 2017, a Chinese Robot dentist carried out a successful implant surgery by fitting two new teeth into a patient’s mouth.
The implant was fitted with a margin error of 0.2 – 0.3mm, which reached the required standard for such operations. It took the robot approximately one hour to carry out the surgery that was conducted in Xian, Shaanxi, China.
AIdoc is an Israeli tech company whose technology analyses medical imaging to provide the solution for detecting acute abnormalities across the body using artificial intelligence.
Their AI solution is FDA approved for detection of intra-racial hemorrhages, large vessel occlusion, pulmonary embolism, pneumothorax, Rib fractures, modules and spine fractures.
In 2018, Aidoc is one of TIME’s 50 Genius Companies.
Corti is an intelligent partner that helps emergency medical professionals make life saving decisions. It listens to medical interviews and analyses these conversation in real time.
It then helps medical professional diagnose illnesses and provide prompt effective action based on its analyses.
According to Fast Company “Corti isn’t designed to look for any particular signals. Instead, it trains itself by listening to the sound from a huge set of calls to identify important factors, and then continually improves its model as it works”.
This is an example of artificial intelligence at the high level.
Corti is usually plugged into the phone at emergency services and gives the dispatchers a clue if patients shows signs of cardiac arrest or other conditions.
Examples of Artificial Intelligence in the Military
Artificial intelligence is currently being deployed at homes, hospitals, for transportation purposes and in the military.
AIs are being deployed in the building of autonomous war machines; war machines that takes certain decisions autonomously.
Although, debates are ongoing if AIs should be allowed to make life and death decisions. However, AI systems capable of autonomy are currently being developed and deployed.
Here are some examples of AI in the Military:
Super aEgis II
Super aEgis II is a sentry gun that automatically aims and fire at targets that are detected by its sensors. It’s a turret based weapon platform that uses thermal imaging to lock unto vehicles or living targets that are within 3km away.
Regardless of the weather, this AI powered gun is able to function at night or in harsh weather conditions.
A Soldier that never sleeps.
I think there is still some sanity in the world, as most of the countries that acquires this weapon opted to configure it so it requires human confirmation before it releases rains of bullets to its target.
Also known as the ‘the Hunter’.
Okhotnik B is a Russian stealth drone capable of flying in an automated mode and launching long range attacks.
The heavy Unmanned Combat Aerial Vehicle (UCAV) was developed by Sukhoi as a sixth generation aircraft project.
It has a long range Air-defense penetrator and an anti-radar coverage, equipped for reconnaissance.
There has been suggestions that Okhotnik B was designed to fight alongside Russia’s most advanced fighter jet (SU-57 Fighter) as the two appeared to have taken flight together in September, 2019.
Orca Extra Large Unmanned Undersea Vehicle (XLUUV) is a robotic submarine built by Boeing and powered by artificial intelligence. It could be used for mine counter measures, anti-submarine warfare and strike missions.
The Orca XLUUV was designed and built for the US Navy.
According to US Naval Sea System Command Spokesperson, Alan Baribeau, “The modular design for the initial Orca XLUUV will enable current and future payloads, sensors, autonomy and other systems to be able to integrate over the vehicles life cycle”.
Obviously, it evident that the future of warfare will see artificial intelligence in unmanned war machines play a play a prominent role.
Examples of Artificial intelligence in Games
Many video gamers don’t know that artificial intelligence is used to generate intelligent behaviors in non-player characters in video games.
A non-player character in a video game is any character that is not controlled by a player.
Those bad guys and neutrals (display human-like intelligence) that gamers come across in video games behave intelligently because of artificial intelligence.
Moreover, AIs in games doesn’t just end in its application in video games.
There are artificial intelligence systems that can play non-video games, and some of these systems have being able to match and in some cases defeat experienced human counterparts.
Here are some examples of artificial intelligence in game:
Deep Blue is a chess playing AI system developed by IBM. It is a symbolic game playing AI, because it represent the beginning of AIs that are capable of matching and bettering human gaming intelligence.
Deep Blue is the first AI system to defeat a reigning World Champion of Chess in a chess game and match.
In a second attempt, Deep Blue was able to defeat then reigning World Chess Champion, Gary Kasporov, in a chess match that ended in May, 1997.
Alpha Go is a game playing AI that plays the board game Go. It was a system that was developed by DeepMind (a company later acquired by Google).
The AlphaGo has three more advanced successors called AlphaGo Master, AlphaGo Zero and Alpha Zero.
Therefore, you should be wowed that AlphaGo, the less advanced of the fold, was able to beat a 9-dan human professional Go player (Lee Sodol) without handicap.
AlphaGo was subsequently awarded an honorary 9-dan by the Korea Baduk Association.
The AlphaGos did not stop there. The next time around, AlphaGo Master (the first successor of the original AlphaGo) defeated the then World No. 1 Go player, Ke Jie, in a three-game match.
This time, AlphaGo was awarded a professional 9-dan by the Chinese Weigi Association.
An AI system (AlphaStar) competed against top human players in a popular online strategy video game: STARCRAFT II.
If you are not familiar with STARCRAFT II, it is a sci-fi real-time strategy video game. It is a sequel to the 1998 Video game STARCRAFT and the BLOOD WAR.
The play is to conquer the Galaxy either as a Terron, Jerg or Protoss.
As anticipated, AlphaStar achieved a Grandmaster rating after it was unleashed on the game’s European Server.
If you have played STARCRAFT II and understand the game’s strategic complexity and rapid pace then you will understand that for an AI to achieve this feat, it really a big deal.
Facebook didn’t let Google and IBM steal all the headlines, as it developed Pluribus (a game playing AI) in collaboration with Carnegie Mellon University.
In July, 2019, Pluribus defeated leading professionals in a six-player no-limit Texas Hold’em Poker (world’s most popular form of poker).
Pluribus won yet again in another experiment involving 13 pros (all of whom have won more than $1 million playing Poker), playing five pros at a time.
Examples of Artificial Intelligence in Marketing
Artificial Intelligence is playing a significant role in contemporary online marketing at different stages of marketing and in different ways.
AI systems (machine/deep learning algorithms) are being employed and deployed to make marketing efforts more effective.
Here are few examples of AI in marketing:
AI systems are powering product recommendation systems in popular online stores (like Amazon and Alibaba Express) and content recommendation systems like in social media such as YouTube, Facebook, Twitter, TikTok, Pinterest and Instagram.
These systems are capable of making smart personalized recommendation to users. As a marketing effort, ecommerce sites uses these recommendation systems to push users (customers) into adding more value to their cart.
For content marketers, content recommendation systems helps to get their users engaged in their contents by offering smart personalized contents to users. Some recommendation systems like Google Discover serves as a medium for content marketers to get more eyeballs, more leads and more conversions.
AI chatbots (or conversational bots) are being deployed gradually as a part of contemporary marketing efforts.
These systems are capable of giving customers or potential customer a personalized support at scale.
Starbucks for instance, introduced an AI chatbot feature into the Starbucks Barista App that is able to take orders via text or voice messaging.
While National Geographic leverages their huge Facebook following to promote the release of their original series “Genius” by tapping into the power of AI Chatbot. They developed and deployed a Messenger chatbot called “Einstein” that attempts to educate users about physics while also pitching the release of the series “Genius”.
Facebook Smart Ad Targeting
Facebook Smart Ad Targeting allows marketers to define their core advertising audience based on very specific information such as audience location, demographics, interests, behaviors and connections.
Then it uses machine learning (AI algorithms) to display the ads to the defined/desired audience.
Most online marketers that run ads are already used to Facebook Advertising, thus smart ad targeting systems, and some of them don’t even know that these features that benefits their businesses greatly are powered by artificial intelligence.
Years ago, online ads were just placed on sites were random people visited and every visitor saw the same ads. Advertisers back then just hoped that their desired audience will see and interact with the ads, amongst those random visitors.
But today, with smart ads targeting powered by artificial intelligence, advertisers’ ads will only reach their defined audience.
Smart ads targeting is a feature offered by many other ad networks beyond Facebook, and Google is chief among the others.
Examples of Artificial Intelligence in Social Media
For decades now, social media has dominated how most of us interact socially, create and share contents (ideas, interests and general information) and build networks and virtual communities.
These social platforms have been revolutionized greatly in the last decade by artificial intelligence.
AIs has empowered social media with near human intelligence that make them more interactive and personalized.
Artificial intelligence is being used in a number of ways in popular and advanced social media.
Here are some examples of social media platforms using AI:
AI in YouTube
YouTube is by far my favorite social media platform, never a day goes by that I don’t use the platform. As most of us may already know, YouTube is a video sharing platform that has grown to become a giant search engine due to the number of searches conducted on the platform.
In fact after Google Search, YouTube is the most popular search engine.
There are billions of video content on just about any topic on the platform and it’s really no surprise that it’s the second most popular search engine.
Here is how YouTube uses artificial intelligence:
- YouTube uses AI to recommend personalized contents: This is one of my most favorite thing about YouTube, one of the reasons why I fell in love with YouTube. Anytime I open “My YouTube Feed” it feels so much like my space (not My Space). And that’s because its AI algorithm are intelligent enough to know the kind of contents that interests me.
- YouTube deploys AI to automatically remove objectional contents: Contents that are false, deceptive, misleading, infringing upon any applicable law, fraudulent, impersonating others, adult contents and racist videos are deemed as objectional contents. Such contents are being detected by YouTube’s AI systems and being automatically removed.
- YouTube uses AI to power its search engine: Using AI algorithms, YouTube is able to provide users with results that they would otherwise preferred whenever they use the YouTube Search feature. This also includes offering the best possible results that answers the users queries based on their intention.
There are so many other ways YouTube uses Artificial Intelligence to better its platform and the results speaks for themselves.
AI in Facebook: How Facebook uses AI
Facebook needs no introduction as a social media. The number of active users of Facebook hit an all-time high of 2.45 billion in one month (that’s about 32% of the world’s population).
Think about that for a minute.
32% of the world’s population were active on Facebook in one month. With that kind of popularity and widespread adoption, why would Facebook need any introduction?
Anyways, Facebook is a social media that gives people the power to connect with Family, Friends and Businesses, and discover and join communities.
Here are some ways Facebook uses AI:
- DeepText: Facebook uses an AI systems called Deeptext to decipher the meaning of contents (text form) posted on Facebook.
- Translate Text: It uses artificial intelligence to automatically translate text written in a foreign language to the desired language of users. This feature helps over 800 million Facebook users monthly. If you using Facebook recently, chances are that you have benefitted from this AI’s translation.
- Block Objectional Contents: Like YouTube, Facebook uses AI to block objectional contents.
DeepFace: Facebook uses an AI application called DeepFace to recognize people in photos. DeepFace is able to recognize your face in any given clear image, whether or not it’s a group photo.
- Newsfeed AI: Facebook deploys a sophisticated AI recommendation system that determines algorithmically the type of posts that show up on user’s news feed. And also proffer video suggestions to users watching videos on Facebook. *I can’t help but wonder why Facebook loves recommending American Got Talent videos to me.
AI in Pinterest: How Pinterest uses artificial intelligence
Pinterest is a social media that has grown into a search engine like YouTube. The platform is really popular amongst women even though I don’t see reasonable reasons why it should remain so.
Pinterest was designed to enable user share ideas (ranging from recipes and home decoration, to fitness related ideas).
Here is how Pinterest uses AI:
- It uses artificial intelligence to uncover its user’s interests and make the platform feel more like a personal space for every user.
- It uses artificial intelligence to power its intelligent content recommendation systems. This entails that Pinterest users gets ‘ideas’ recommendation that would most likely interest them.
- Like other social media platforms, Pinterest also uses AI to block and remove objectional contents.
Generally, social media platforms nowadays, have AI at the core of their platform. These AIs carryout a lots of tasks autonomously, and invoke features that enables users have a great personalized experience on the platform.
Examples of Artificial Intelligence in Film Making
When you site in the cinema or open Netflix to watch an high end Hollywood or Bollywood movie, chances are that AI played a significant role in the creation of that movie.
Artificial intelligence is silently been deployed in different ways and stages in the movie industry, from scripting to filming.
Here are examples of artificial intelligence in film making:
IBM Watson Applications in Videos
IBM Watson is a multifunctional AI developed by IBM, and has been used to create movie trailer for the movie ‘Morgan’.
Watson has also been deployed to script an ad for the Lexus ES.
In Morgan’s trailer, all it did was to use the experience it gained from watching 100 horror movies and recommended 10 moments for the trailer, after watching the entire movie.
[Here is the trailer of video and the Lexus ES ad scripted by Watson]
AI-CD short form of the words Artificial Intelligence Creative Director. It is an AI system launched by McCain Erickson Japan, in March 2016.
AI-CD is claimed to be the first robotic creative director. It was trained on data from specific elements of TV shows and other data sources with about a decade worth of detailed information.
This AI creative director then uses the experience it gained from its training to extract ideas and themes that would suit a diverse ad campaigns.
ScriptBook is a Belgian AI company that developed an AI algorithm that the company claims to be able to predict whether or not a film will be commercially successful.
By analyzing the film’s screenplay (and that’s all).
According to Variety, ScriptBook’s AI can predict an MPAA rating, detect who the characters are and predict a screen play’s target audience.
Who doesn’t want to know for sure whether or not their project will be successful beforehand?
I would appreciate an AI system that will tell me for sure that 80 – 99.9% of people reading this article will enjoy it and find satisfying answers to their queries.
Just picture that!
Adobe Premiere Pro
Adobe Premiere Pro is a popular video editing tool that has a lot of features powered by artificial intelligence, it helps creatives craft footage and polish films and videos.
Premiere Pro is the holy grail of video editing amongst most creatives.
AI feature in Premiere Pro stretches from its latest auto reframing feature to its intelligent audio clean up.
The Auto-reframing feature is powered by Adobe Sensei (Adobe’s AI), it enables video editors to automatically reframe sequences for square, vertical and cinematic (16:9) or for cropping high resolution footage.
Netflix is a movie/TV streaming service provider that uses artificial intelligence to improve its services.
Specifically, it uses AI to personalize movie recommendations, improve streaming quality and auto generation and personalize thumbnails/artworks.
Netflix don’t just stream videos they are also in the business of creating shows and they deploy AI for location scouting for movie production and while editing the footages.
Hence, anytime you open your Netflix and watch a movie or TV show, just know that you must have interacted with AI in a way.
Examples of Artificial Intelligence in Finance
So far, so good.
I love the fact that artificial intelligence is being deployed in almost every aspect of life, to bring more ease and comfort in our daily lives.
Artificial intelligence systems are being deployed to manage our finance, corporate and public finance.
Beyond “managing” finances, they also ensure we don’t get defrauded (AI(s are really good at fraud detection).
Here are some examples of artificial intelligence in Finance:
Olivia is a popular and effective personal finance assistant powered by artificial intelligence. It helps people manage their personal finances, so they don’t have to sweat much about it.
Olivia for me is personal finance AI at its best.
Unfortunately, there is currently no Android or Windows version of it, it’s currently an iOS only app.
Although, the company behind its development (Olivia Inc.) are working on developing an Android version of it.
What Olivia does is to learn about your finances and spending habits, and uses that knowledge to predict your next purchases, come up with insights on how you can save more money and stretch your paycheck.
And if you need someone to chat with, just text Olivia. She is very easy to talk to, and will respond to you just like your pals would (of course, with some machine limitations).
Olivia is also free, just in case you are wondering that a technology like that will cost some USD to own.
Betterment, according to Nerd Wallet, is a clear leader among robo-advisors.
What the heck is robo-advisors?
Robo-advisor is an online financial advisor that uses artificial intelligence technology to help manage people’s money and financial plans.
It was first launched during the 2008 financial crises but really took off in 2010 when Betterment was launched by Jon Stein.
Betterment makes sophisticated investment strategies easier and better by using AI to provide personal guidance and tax-smart technology.
Most robo-advisors today, like Betterment, are not 100% AI automate as they require human interventions at times.
I think one of the reasons why robo-advisors are currently not 100% AI I that AIs today have quite some reasonable shortcomings and financial management is no joke.
[Here are some advantages and disadvantages of artificial intelligence]
Hence, instead of building robo-advisors that will 100% replace human financial advisors, we are building ones that will augment them. And that’s just common sense.
Feedzai is an AI company and an AI platform (just like Facebook) that uses artificial intelligence to identify fraudulent payment transactions and minimize risks in the financial industry.
It was founded in 2015 and has enabled businesses to keep customers’’ data and transactions safe ever since.
Feedzai is a big deal and not many of us have heard about them. In 2016, Forbes reported that Feedzai handles $1 billion per day in total payment volumes.
You read that correctly! $1 billion per day.
Examples of Artificial Intelligence in Agriculture
Agriculture is one of those thing that will never go away no matter how advanced technology gets. What we have seen with previous technological advancements and current advancements is that use of these techs to improve food production and management process.
Man will always need food, this I strongly believe.
Today, artificial intelligence is being leveraged in agriculture to improve processes.
Here are some examples of AI in agriculture:
Plantix is an AI mobile app that can diagnose pest damage, plant disease and nutrient deficiencies. It was developed by PEAT Gambit and initially released in 2015.
On September 2017, Fortune Magazine listed PEAT as one of the six “change the world” companies as a result of its development of the Plantix app.
The Plantix app is an android app (for now), it helps farmers maximize crop yields by helping them tackle plant disease and pest.
Intel estimated that the world will need 50% more food by 2050. And the United Nations Food & Agriculture Organization also estimates that between 20 – 40% of global crop yields are reduced because of plant pest and diseases.
Hence, it’s imperative that farmers tackle plant pest and diseases; and Plantix is just making it easier for farmers to eliminate plant pests and diseases.
Plantix utilizes the power of computer vision, enabling it to analyze pictures of crops taken by farmers. It also provides farmers with all the necessary steps for high yields and best quality of farm produces.
Plantix also have a large independent database for plant problems and their treatments that farmers can use.
See and Spray Robot
See and Spray is an agricultural robot that uses AI (computer vision and machine learning) to detect and identify plants in a field, distinguishing between crops and weeds, then using the knowledge to eliminate herbicides.
Blue River Technology (the company behind its development) claims that See and Spray is able to control and prevent herbicide resistant weeds, while also eliminating 90% of the herbicide volumes that growers (farmers) spray today.
In essence, See and Spray save farmers a lot of money, starting with 90% of the money they would otherwise spend on conventional herbicides spraying. See and Spray does this while being highly effective, herbicide resistant weeds can’t resist See and Spray.
See and Spray has won numerous awards for its role in changing the future of food production using artificial intelligence.
It was listed among the Top 50 Agriculture Innovation in 2017 by ASABE, declared Technology Pioneer by the World Economic Forum in 2015, and listed in CB Insights Artificial Intelligence 100 in 2017.
FarmShots is a web based application and a satellite imagery service provider that uses artificial intelligence to analyze satellite and drone imagery in order to detect plant diseases, plant pests and poor plant nutrition.
This helps farmers (growers) maximize crop yield, efficiency and profits ($$$).
Farmshots helps reduce scouting efforts by as much as 90% and accurately turn imagery into a map for fertilizer and crop protection application.
The FarmShots software (app) is available on multiple devices including tablets, laptops and smartphones.
Farmshots was acquired by Syngenta in 2018.
VineView is a data-based service provider that uses advanced machine learning algorithms (AI) to help farmers (growers) to diagnose their Vineyard.
It’s a platform built specifically for grape growers and has gained strong footing in California and France (two of the world’s top wine regions).
VineView’s technology relies on computer vision, advanced machine learning algorithms and aerial based sensor to help growers make responsive and informed vineyard management.
My 2 cents: AI today is not replacing farmers (growers), it’s really just helping them out by providing insights and bettering processes.
I just scrolled back to the beginning of this article and back to this point.
Yes, to that point (.), and I realize that this article is one of the most comprehensive on the Examples of Artificial Intelligence Application in the internet.
And yet, the feeling is that in comparison to how comprehensive AIs applications are in the real world today, this article is mere a tip of the iceberg.
I’m looking forward to expanding this article even more, to reflect how deep and far AI has sojourned.
In the end, my aim is to represent what AI is to u today, in order to help you visualize AI for what it truly is.