Current artificial intelligence programs

Artificial Intelligence can help analyze chronic conditions with lab and other medical data to ensure early diagnosis. AI uses the combination of historical data and medical intelligence for the discovery of new drugs. Artificial Intelligence is used to identify defects and nutrient deficiencies in the soil.

This is done using computer vision, robotics, and machine learning applications , AI can analyze where weeds are growing. AI bots can help to harvest crops at a higher volume and faster pace than human laborers. Another sector where Artificial Intelligence applications have found prominence is the gaming sector.

AI can be used to create smart, human-like NPCs to interact with the players. It can also be used to predict human behavior using which game design and testing can be improved. The Alien Isolation games released in uses AI to stalk the player throughout the game. Artificial Intelligence is used to build self-driving vehicles. AI can improve the in-vehicle experience and provide additional systems like emergency braking, blind-spot monitoring, and driver-assist steering. On Instagram, AI considers your likes and the accounts you follow to determine what posts you are shown on your explore tab.

Artificial Intelligence is also used along with a tool called DeepText. With this tool, Facebook can understand conversations better. It can be used to translate posts from different languages automatically. AI is used by Twitter for fraud detection, removing propaganda, and hateful content. Twitter also uses AI to recommend tweets that users might enjoy, based on what type of tweets they engage with. AI chatbots can comprehend natural language and respond to people online who use the "live chat" feature that many organizations provide for customer service.

AI chatbots are effective with the use of machine learning, and can be integrated in an array of websites and applications. AI chatbots can eventually build a database of answers, in addition to pulling information from an established selection of integrated answers.

All in all, these AI chatbots can help to improve customer satisfaction. It has been reported that 80 percent of banks recognize the benefits that AI can provide. For example, customers looking for help regarding wealth management solutions can easily get the information they need through SMS text messaging or online chat, all AI-powered.

Artificial intelligence can also detect changes in transaction patterns and other potential red flags that can signify fraud, which humans can easily miss, and thus saving businesses and individuals from significant loss.

Aside from fraud detection and task automation, AI can also better predict and assess loan risks. Artificial Intelligence is revolutionizing the industries with its applications and helping solve complex problems. Do you agree with our list of Artificial Intelligence Applications? Think we missed anything important? Or do you have any questions for us? Feel free to share them with us in the comments section of this article.

Take a deeper dive into these 28 examples of artificial intelligence showing the breadth of the technology's applications across multiple industries. Roboticists understand robots to be programmable machines that carry out tasks, but nobody can pinpoint exactly where that definition ends.

Today's AI-powered robots, or at least those machines deemed as such, possess no natural general intelligence, but they are capable of solving problems and "thinking" in a limited capacity. From working on assembly lines at Tesla to teaching Japanese students English , examples of artificial intelligence in the field of robotics are plentiful. How it's using AI: That makers of the popular Roomba, iRobot , are back with a new, much smarter robotic vacuum.

The Roomba model uses artificial intelligence to scan room size, identify obstacles and remember the most efficient routes for cleaning. The self-deploying Roomba can also determine how much vacuuming there is to do based on a room's size, and it needs no human assistance to clean floors.

How it's using AI: Hanson Robotics is building humanoid robots with artificial intelligence for both the commercial and consumer markets. The Hanson-created Sophia pictured above is an incredibly advanced social-learning robot. Through AI, Sophia can efficiently communicate with natural language and use facial expressions to convey human-like emotions.

Sophia has become something of a media celebrity over the past few years, featured on various talk shows, including a memorable appearance with a clearly weirded-out Jimmy Fallon on The Tonight Show. The robot has even accepted citizenship from Saudi Arabia. Hanson plans to introduce an entire line of robots like Sophia, which they believe "have immediate applications as media personalities in movies and TV shows, entertainment animatronics in museums and theme parks, and for university research and medical training applications.

Olly's personality comes from a mix of machine learning algorithms that teach the robot to gradually be more like its owner. The small, robotic table-top assistant is also capable of movement, orienting itself toward the user when determining what to do next. Olly's abilities are far beyond anything current voice assistants are capable of doing. For example, if Olly sees you resting your head, it may ask if you've had a long day and then suggest some of your favorite music to help you unwind.

See for yourself. Artificial intelligence is proving to be a game-changer in healthcare, improving virtually every aspect of the industry from robot-assisted surgeries to safeguarding private records against cyber criminals. Healthcare has long suffered from skyrocketing medical costs and inefficient processes. Artificial intelligence is giving the maligned industry a much-needed makeover. Here are a few examples of how artificial intelligence is streamlining processes and opening up innovative new avenues for the healthcare industry.

The health engine combines both personal and external health data to provide informed advice based on other user experiences while also providing points that can be redeemed at stores for completing challenges and supporting communities, helping users with everything from screenings and questionnaires through prescription support, vaccination advice, recommended doctors visits and specific condition guidance.

The company's machine learning algorithms help pathologists analyze tissue samples and make more accurate diagnoses. The aim is to not only improve diagnostic accuracy, but also treatment.

PathAI's technology can also identify optimal clinical trial participants. How it's using AI: Pager uses artificial intelligence to help patients with minor aches, pains and illnesses.

In addition to making healthcare recommendations, this concierge-like service helps patients schedule appointments and make payments. Using technology based on convolutional neural networks , Atomwise's algorithms can "extract insights from millions of experimental affinity measures and thousands of protein structures to predict the binding of small molecules to proteins.

With the ability to analyze billions of compounds and identify areas for drug discovery, the technology is rapidly speeding up the work of chemists. Atomwise is being used to tackle some of the most pressing medical issues of the day, including Ebola and multiple sclerosis. How it's using AI: Massachusetts General Hospital , one of the oldest hospitals in the world, has partnered with computing company NVIDIA to implement AI-powered machines for disease detection, diagnosis, treatment and management processes.

The programs are currently training with more than 10 billion medical images in radiology and pathology to facilitate faster testing and diagnostic capabilities.

The hospital recently completed a pilot system using AI to quickly prescreen patients for pneumothorax, more commonly known as a collapsed lung. The results were promising enough that there are plans to implement the technology in the ER. Self-driving cars are the ultimate sign that the future is upon us. Once considered science fiction, self-driving technology is slowly inching its way towards a driverless reality. Artificial intelligence is literally driving the future of the self-driving car industry.

These cars are loaded with sensors that are constantly taking note of everything going on around the car and using AI to make the correct adjustments.

These sensors capture thousands of data points every millisecond like car speed, road conditions, pedestrian whereabouts, other traffic, etc. The company was born from a joint venture between automotive tech company Apertiv and the Hyundai Motor Group, who combined their expertise in functional and forward-thinking technology to make better driverless technology adaptable in the present rather than in the future.

Combining short-range and long-range LiDAR sensors, radar, strategic camera placement and proprietary tech in development since , Motional has provided more than , self-driven rides while maintaining a record of zero at-fault incidents. The company has begun partnering with major rideshare organizations like Lyft, Via and Cox Automotive to bring its technology to an even greater scale with roll-outs beginning as soon as AI uses this massive data set to constantly learn about the best safety measures, driving techniques, most efficient routes, etc.

The sci-fi looking vehicle has traveled over 1 million miles in San Francisco alone without having a single fender bender. The company builds a variety of AVs designed to meet the needs of drivers all over the country, including individuals, rideshare drivers and large trucking companies. Using an advanced suite of sensors, each Waymo vehicle collects data and uses artificial intelligence to decipher what will happen next.

Thanks to AI, the Waymo vehicles can analyze situations and make safe predictions for optimal next moves without a human being ever having to interact with the steering wheel. Meanwhile, Waymo Via focuses on autonomous vehicles for long-haul logistics and last-mile delivery.

The technology allows artificial intelligence-based software systems to see people, objects, events, road conditions, etc. The innovative technology has the ability to measure speeds of different objects, so an AV can easily decipher its most optimal move in a safe amount of time. AI and the finance industry are a match made in heaven. The financial sector relies on accuracy, real-time reporting and processing high volumes of quantitative data to make decisions, all areas intelligent machines excel in.

As the industry takes note of AI's efficiency and accuracy , it is rapidly implementing automation, chatbots, adaptive intelligence, algorithmic trading and machine learning into financial processes. These automated advisors use AI and algorithms to scan data in the markets and predict the best stock or portfolio based on preferences.

Wealth management firms are turning towards robo-advisors, not only because it saves both the company and client time and money, but it also produces some extraordinary returns. How it's using AI: Betterment is an automated financial investing platform and a pioneer of robo-advisor technology that uses AI to learn about an investor and build a personalized profile based on his or her financial plans.

Betterment's robo-advisors use algorithms to automate tax loss harvesting, trading, transactions and portfolio management, all tasks that used to require a lot of human elbow grease and know-how.

How it's using AI: AlphaSense created an AI-powered financial search engine to help investment firms gain an informational edge. Using a combination of linguistic search and natural language processing , the program can analyze key data points across 35, financial institutions.

The system's ability to scan millions of data points and generate actionable reports based on pertinent financial data saves analysts countless hours of work. Industry impact: According to the company's website, more than financial firms use AlphaSense, including some Fortune corporations. How it's using AI: Numerai is an AI-powered hedge fund using crowdsourced machine learning from thousands of data scientists around the world.

The company releases abstracted financial data to its community of data scientists, all of whom are using different machine learning models to predict the stock market. The models are pitted against one another in a weekly tournament where creators compete for Numeraire NMR , the company's cryptocurrency. The most accurate predictions make it to the top of the leaderboard and are awarded more tokens. But Numerai isn't really about rewarding winners and losers. The competition is simply a way to collect more models.

The company's real breakthrough is in how it synthesizes all of the varying approaches into a "Meta Model. The diversity of the models within the "Meta Model" creates diversity in the portfolio, reducing risk and generating higher returns. Simply put, the more algorithms at work, the better. Artificial intelligence is becoming a mega-trend in the travel and transportation industries.

From making travel arrangements to suggesting the most efficient route home after work, AI is making it easier to get around. Travel companies are especially capitalizing on ubiquitous smartphone usage. One out of three people say they've used a virtual travel assistant to plan their upcoming trips. AI-powered chatbots are rapidly changing the travel industry by facilitating human-like interaction with customers for faster response times, better booking prices and even travel recommendations. For example, telling a travel chatbot you want to go to Paris might yield a natural language response suggesting flights, hotels and things to do in City of Light based on a user's preferences culled from the conversation.

Here are some examples of how artificial intelligence is being used in the travel and transportation industries.

Using historical flight and hotel data, Hopper will also make recommendations to the user on if the booking has reached its lowest price point or if the user should hold out a bit longer for the price to drop. How it's using AI: Google uses AI in a number of areas, but the technology's specific application in Google Maps makes our commutes a little easier.

With AI-enabled mapping, the search giant's technology scans road information and uses algorithms to determine the optimal route to take, be it on foot or in a car, bike, bus or train. In the near future, Google plans to further advance artificial intelligence in the Maps app by implementing its voice assistant and creating augmented reality maps in real time.

Aside from helping millions of users find their way everyday, the popular ridesharing service Lyft built its navigation features for drivers using Google Maps. How it's using AI: Hipmunk from Concur provides booking prices for flights, hotels, excursions and even vacation rentals through Airbnb.

The company's "Hello Hipmunk," launched in , is an AI-powered travel assistant. Chatting with the bot on Facebook, Slack or Skype, users can book flights and find vacation ideas based around themes and interests. Travelers can also copy "Hello Hipmunk" on an email discussing potential travel plans and the bot will offer travel suggestions. Additionally, the virtual assistant will scan your calendar for upcoming events and begin organizing a future trip.

With more than 2. Additionally, advanced machine learning is likely to prove critical in an industry that's under pressure to police fake news, hate speech and other bad actors in real time. Here are a few examples of how some of the biggest names in the game are using artificial intelligence.

How it's using AI: Whether it's Messenger chatbots, algorithmic newsfeeds, photo tagging suggestions or ad targeting, AI is deeply embedded in Facebook's platform.

The method is a major breakthrough in computer vision modeling. Facebook is already using a combination of artificial intelligence and human moderation to combat spam and abuse. With breakthroughs in image recognition and a doubling-down on AI research , Facebook is counting on artificial intelligence to help it police the world's largest media platform.

Additionally, Twitter uses artificial intelligence to monitor and categorize video feeds based on subject matter. The technology recognizes and converts human speech in several languages. Siri of iPhone is a classic example of speech recognition. Virtual agents have become valuable tools for instructional designers. A virtual agent is a computer application that interacts with humans. Web and mobile applications provide chatbots as their customer service agents to interact with humans to answer their queries.

Google Assistant helps to organize meetings, and Alexia from Amazon helps to make your shopping easy.

A virtual assistant also acts like a language assistant, which picks cues from your choice and preference. The IBM Watson understands the typical customer service queries which are asked in several ways. Virtual agents act as software-as-a-service too.

Modern organizations are implementing decision management systems for data conversion and interpretation into predictive models. Enterprise-level applications implement decision management systems to receive up-to-date information to perform business data analysis to aid in organizational decision-making. Decision management helps in making quick decisions, avoidance of risks, and in the automation of the process.

The decision management system is widely implemented in the financial sector, the health care sector, trading, insurance sector, e-commerce, etc. Deep learning another branch of artificial intelligence that functions based on artificial neural networks. This technique teaches computers and machines to learn by example just the way humans do. Typically, a neural network has hidden layers and can have a maximum of hidden layers.

Deep learning is effective on huge data to train a model and a graphic processing unit. The algorithms work in a hierarchy to automate predictive analytics. Deep learning has spread its wings in many domains like aerospace and military to detect objects from satellites, helps in improving worker safety by identifying risk incidents when a worker gets close to a machine, helps to detect cancer cells, etc.

Machine learning is a division of artificial intelligence which empowers machine to make sense from data sets without being actually programmed. Machine learning technique helps businesses to make informed decisions with data analytics performed using algorithms and statistical models. Enterprises are investing heavily in machine learning to reap the benefits of its application in diverse domains.

Healthcare and the medical profession need machine learning techniques to analyze patient data for the prediction of diseases and effective treatment.