artificial intelligence applications:
Just mentioning Artificial Intelligence, the brain can evoke the picture of the Terminator machine destroying the world. Thankfully, the current situation is more optimistic. So let us discuss how AI can help our planet and ultimately benefit humanity. In this article about artificial intelligence applications, I will discuss how artificial intelligence affects various fields such as marketing, finance, and banking.
Artificial intelligence applications: self-driving cars
For the longest time, self-driving cars have been the buzzword in the AI industry. The development of autonomous vehicles will revolutionize the transportation system.
Companies such as Waymo have conducted several test drives in Phoenix before deploying their first AI-based public ride-hailing service. The AI system collects data from vehicle radar, camera, GPS, and cloud services to generate control signals to operate the vehicle.
Advanced deep learning algorithms can accurately predict objects that may occur near the vehicle. This makes Waymo cars more efficient and safer.
Another famous example of self-driving cars is Tesla’s self-driving cars. Artificial intelligence enables computer vision, image detection, and deep learning to create cars that can automatically detect objects and travel around without human intervention.
Elon Musk talked about how to implement AI in Tesla’s self-driving cars and autonomous driving functions. He quoted
“Tesla will prepare fully self-driving cars by the end of this year, and the “robotaxi” version will be ready on the street next year.
The” robotaxi “version can transport passengers in driver-less conditions.
Artificial Intelligence Application: Bank
The growth rate of artificial intelligence in the banking industry exceeds your imagination! Many banks have adopted AI-based systems to provide customer support, detect anomalies, and credit card fraud. HDFC Bank is an example.
HDFC Bank has developed an EVA-based chat robot called EVA (Electronic Virtual Assistant), built by Senseforth AI Research in Bangalore.
Since its launch, Eva has processed more than 3 million customer queries, interacted with more than half a million unique users, and conducted more than one million conversations. Eva can collect knowledge from thousands of sources and provide simple answers in 0.4 seconds.
Using AI to prevent fraud is not a new concept. Artificial intelligence solutions can be used to enhance the security of multiple business sectors such as retail and finance.
By tracking card usage and endpoint access, security experts can more effectively prevent fraud. Organizations rely on AI to track these steps by analyzing trading behavior.
Companies such as MasterCard and RBS WorldPay have relied on AI and deep learning for years to detect fraudulent transaction patterns and prevent card fraud. This saved millions of dollars.
Artificial intelligence applications: social media
Since social media has become our identity, we have been generating large amounts of data through chats, tweets, posts, etc. Wherever there is a lot of data, AI and machine learning will always be involved.
In social media platforms like Facebook, artificial intelligence is used for facial verification, where machine learning and deep learning concepts are used to detect facial features and tag your friends. Deep learning is used to extract every detail from an image by using a bunch of deep neural networks. On the other hand, machine learning algorithms are used to design feeds based on your interests.
Another such example is Twitter’s AI, which is used to identify hate speech and terrorist language in tweets. It uses machine learning, deep learning and natural language processing to filter objectionable content. The company discovered and banned 300,000 terrorist-related accounts, 95% of which were discovered by non-human artificial intelligence machines.
Artificial Intelligence Application: Marketing
Marketing is a way to add sugar to your products to attract more customers. We, humans, are very good at sugar coating, but what if we only build algorithms or robots to market brands or companies? It will do a great job!
In the early 2000s, if we searched an online store to find a product without knowing its exact name, finding that product would become a nightmare. But now, when we search for a product in any e-commerce store, we get all possible results related to that product. Just like these search engines read our thoughts! In a few seconds, we will get a list of all related items. For example, suitable movies can be found on Netflix.
One of the reasons we are all addicted to Netflix and chill is that Netflix provides highly accurate prediction technology based on customer responses to movies. It checks millions of records and suggests performances and movies you may like based on your previous actions and movie choices. As the data set grows, this technology becomes smarter every day.
With the continuous development of AI, consumers on the Internet will soon be able to purchase products by capturing photos. Companies like CamFind and their competitors are already trying this approach.
Application of artificial intelligence: agriculture
This is a shocking fact that by 2050, the world will need to increase food production by 50% because we are eating up everything! The only feasible way is to use our resources more carefully. That being said, artificial intelligence can help farmers gain more from the land while using resources more sustainably.
Issues such as climate change, population growth, and food security have prompted the industry to seek more innovative ways to increase crop yields.
Organizations are using automation and robotics to help farmers find more effective ways to protect crops from weeds.
Blue River Technology has developed a robot called See & Spray, which uses computer vision technology such as object detection to monitor herbicides and spray them precisely on cotton plants. Precise spray can help prevent resistance to herbicides.
In addition, an agricultural technology startup called PEAT in Berlin has developed an application called Plantix, which can identify potential defects and nutritional deficiencies in the soil through images.
The image recognition application can identify possible defects through the image captured by the user’s smartphone camera. Then provide users with soil remediation techniques, tips, and other possible solutions. The company claims that its software can achieve pattern detection with an estimated accuracy of up to 95%.
Artificial Intelligence Application: Healthcare
In saving lives, many organizations and medical centers rely on AI. There are many examples of how Artificial Intelligence in healthcare can help patients worldwide.
An organization called Cambio Health Care has developed a clinical decision support system for stroke prevention, which can warn doctors when patients are at risk of stroke.
Another such example is Coal life, a company that has a digital device that can detect heart disease.
Artificial Intelligence Application: Chat Robot
Today, virtual assistants have become a very common technology. Almost every family has a virtual assistant to control the equipment at home. Some examples include Siri and Cortana, which are becoming increasingly popular due to the user experience provided.
Amazon’s Echo is an example of how to use artificial intelligence to translate human language into desirable actions. The device uses speech recognition and NLP to perform various tasks on your commands. It can not only play your favorite songs but also do more things. It can be used to control equipment in the house, book taxis, make phone calls, order your favorite food, check weather conditions, and more.
Another example is the newly released Google virtual assistant Google Duplex, which has shocked millions of people. Not only can it respond to phone calls and book appointments for you, but it also adds a human touch.
The device uses natural language processing and machine learning algorithms to process human language and perform tasks such as managing schedules, controlling smart homes, and making reservations.
Artificial Intelligence Application: Artificial creativity
Have you ever wondered what would happen if an artificial intelligence machine tried to create music and art?
Now, an AI-based system called MuseNet can write classical music to echo classical legends, Bach and Mozart.
MuseNet is a deep neural network capable of using 10 different musical instruments to generate 4-minute musical compositions and can combine the styles of country music, Mozart music, and Beatles music.
MuseNet does not explicitly program the understanding of music but discovers patterns of harmony, rhythm, and style through self-learning.
Another innovative product of artificial intelligence is a content automation tool called Wordsmith. Wordsmith is a natural language generation platform that can transform your data into insightful narratives.
Technology giants such as Yahoo, Microsoft, and Tableau use WordSmith to generate approximately 1.5 billion pieces of content every year.
Artificial intelligence applications: games
In the past few years, artificial intelligence has become an integral part of the gaming industry. One of the greatest achievements of artificial intelligence is in the gaming industry.
DeepMind’s AI-based AlphaGo software is known for beating the world champion Lee Sedol of GO games and is considered to be one of the most important achievements in the field of AI.
Shortly after the victory, DeepMind created an advanced version of AlphaGo called AlphaGo Zero, which defeated its predecessor in an AI confrontation. DeepMind trained the original AlphaGo over time through the use of large amounts of data and supervision, while the advanced system is different. AlphaGo Zero is able to self-learn the game knowledge.
Other examples of artificial intelligence in games include First Encounter Assault Recon, which is often called F.E.A.R, which is a first-person shooter game.
The actions taken by the opponent’s AI are unpredictable because the game is designed in such a way that the opponent is trained throughout the game and will never repeat the same mistakes. As games become more and more difficult, they will become better. This makes the game very challenging and prompts players to constantly change their strategy and never sit in the same position.
Artificial intelligence applications: space exploration
Space exploration and discovery always require analysis of large amounts of data. Artificial intelligence and machine learning are the best ways to process data of this size. After rigorous research, astronomers used artificial intelligence to screen the multi-year data obtained by the Kepler telescope to identify the distant eight-planet solar system.
Artificial intelligence is also used in NASA’s next Mars probe, the 2020 Mars rover. AEGIS is a Mars probe based on AI, already on the red planet. The rover is responsible for automatically aiming at the camera to investigate Mars.