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100 Applications of AI and Machine Learning

100 Applications of AI and Machine Learning

Companies are using artificial intelligence everywhere, even in the most unlikely places. For example, one company has developed a robotic arm that can paint your nails for you. Just kidding! But some applications of AI are pretty neat so you gotta check out this list and read them all.

1. Grammar Checkers

AI-powered grammar checkers like Grammarly correct grammar, spelling and punctuation mistakes as well as suggest better ways to phrase your sentences. Additionally, it uses AI to provide suggestions for how to improve writing such as your tone. This can include things like suggesting different words or phrases that might be more effective or providing feedback on the overall structure of a piece of writing.

2. Medical Imaging

AI is increasingly being used in medical imaging to help doctors make better decisions. AI can be used to automatically detect and diagnose diseases, identify potential problems earlier, and provide more personalized treatment plans. For example, AI can be used to analyze X-rays and other medical images to look for signs of disease. AI can also recommend treatment options based on a patient’s medical history and current health condition.

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3. Sports Predictions

AI is used in predicting sports outcomes in a number of ways. First, AI can be used to analyze past performance data to identify patterns and trends. This information can then be used to make predictions about future performance. Additionally, AI can be used to monitor live data from games and events in order to make real-time predictions.

4. Dating Conversations

AI Dating App

Before you go on your first date, almost certainly you’re going to exchange a couple of text messages. But we sometimes don’t have the right thing to say on Tinder. With an AI chatbot like thekeys.ai as your wingman or woman, you can automate the process of creating the perfect pickup lines so you don’t make any mistakes when meeting new people online.

5. Spam Email Detection

If you’re like most people, you probably hate getting spam emails. But did you know that you can thank AI and unsupervised learning for helping to keep your inbox clean? By analyzing the content of emails and flagging those that seem to be spam, AI is helping to keep your inbox clean and clutter-free.

6. Art Generator

DALL-E, an artificial intelligence program created by OpenAI, is able to generate images based on textual descriptions, which can then be used to create works of art. For example, a user might describe a scene from a favorite book or movie, and DALL-E would generate a corresponding image. This technology can be used to create new and original artwork or to simply provide a visually stimulating accompaniment to existing artwork. But so far, artists don’t approve of it as one AI-generated art piece has already won at the Colorado State Fair.

AI Art

7. Logo Makers

AI is the future of logo design! Just give an AI-powered logo maker like Looka a company’s name. Then, it will create a personalized logo that represents the company’s brand without the need for human designers! But it doesn’t create just one option. You can sift through thousands of logo designs until you find the right one.

8. Music Production

Looking for a royalty-free song for your YouTube video? AI music composition algorithms analyze a set of training data (usually music composed by humans) and then generate new music that is similar (but different) to the training data. These algorithms can be designed to produce specific types of music, or they can be more general in nature. In either case, the aim is to create music that is both original and of high quality like the relaxing tunes on Endel.

9. Interior Design

Interior design is about to get a lot more interesting, thanks to the power of AI. With the ability to create 3D models of spaces, AI can now generate virtual tours and renderings, giving us a glimpse of what a space will look like with virtual staging and design mockups. Plus, it’s a lot cheaper than actually hiring an interior designer.

10. Code Recommendations

AI can automatically generate code recommendations based on a set of input parameters. This can be useful for generating boilerplate code or for quickly creating prototypes. Another way AI can be used for writing code is to provide suggestions or predictions as you type. This can be helpful for finding errors or for suggesting possible improvements. Some of the top coding assistants are Tabnine, AI2sql, and Copilot.

11. AI Podcasts

Artificial intelligence can conduct podcasts and revive voices from the past back to life! Every episode is made by a computer, and there’s no need for pesky human speakers anymore. Just kidding. But here’s an example of an AI podcast where Joe Rogan interviews Steve Jobs that of course didn’t happen!

12. Algorithmic Trading

AI is used to create models that predict market movements and identify trading opportunities. The models generate trading signals, and the algorithms execute the trades. The algorithms aim to buy assets when they are undervalued and sell them when they are overvalued. By doing this, the algorithms aim to make a profit for the investors.

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13. Voice Assistants

Voice assistants like PolyAI are powered by AI, which enables them to recognize and respond to spoken commands in real time. In order to do this, voice assistants use a combination of Natural Language Processing (NLP) and machine learning algorithms. So if you hate listening to customer complaints, voice assistants can lend you a helping hand.

14. AI-Generated Faces

If you’re looking for a realistic avatar that captures your likeness, you’re in luck. By taking a photo of a real person and then using artificial intelligence to create an avatar that looks similar to that person, you can create some hilarious results. So, if you’re looking for a way to make your social media profile picture a little more, um, you, then an AI-generated face from AvatarAI might be the way to go.

AI Generated Faces

15. Generative AI Search Engines

If you’re looking for a different flavor of search, Smart Search is like a chatbot that delivers personalized answers with AI. Unlike Google Search which gives you a list of links in the search results, generative AI search engines like Andi AI understand what you’re asking and provide direct answers to your questions.

16. Wearable Devices

Wearable devices are getting smarter all the time, thanks to the power of AI. AI can be used to process and interpret data collected by the device, which can be really helpful in understanding what your body is doing. AI can also be used to provide personalized recommendations, like customized workout suggestions based on your activity level. Finally, it can also assist with performing mundane tasks like counting, quality control, and surveillance.

17. Facial Recognition

Facial Recognition

AI-based facial recognition is a technology that can instantaneously search databases of faces and compare them to one or multiple faces that are detected in a scene. The technology has the ability to classify people’s faces into an infinite number of categories, such as gender, ethnicity, age, and even emotions. This capability makes a facial recognition system ideal for use in video surveillance, crowd analytics, and other applications where people’s identities need to be verified or identified.

18. Storytelling

AI is being used to rapidly churn out high-quality novels. It’s been used by plenty of writers, but recently it has taken off in popularity. While this technology isn’t perfect, it can take a writer’s words and create an entertaining story from scratch. Although this technology is still in its infancy, it has the potential to revolutionize the writing process.

19. AI-Generated Adventures

You’re cast as a protagonist who can explore a medieval castle, wilderness, or dungeon in search of allies and treasure. But you define your world with text-based input. Then, deep learning breaks the barriers and gives you infinite possibilities for simulated adventures. Check out AI Dungeon if you’re interested in playing a text-based adventure-story game.

20. Creating Ads

AI Generated Ads

AI-powered ad creation tools like Clickable can help marketers generate ads in a fraction of the time it would take them to create the same ads manually. In addition, AI-powered ad creation tools can help marketers target potential customers more accurately using information such as audiences, keywords, and other targeting criteria. Based on these various inputs, the tool generates an ad that will likely lead to a high conversion rate.

21. Electronic Health Record–Based Prediction Modeling

In healthcare, predictive models can be used to identify patients who are at risk of a certain outcome, such as death or hospitalization. This can allow healthcare providers to intervene earlier and provide more targeted care for hospitalization.

22. Government Assistance

Some of the most common government applications include using AI for data analysis, decision-making, and automated tasks. A number of applications involve using AI to analyze large amounts of data and make predictions based on that data. This type of decision-making can be used for a wide range of industries, from healthcare to finance and education.

23. Smart Traffic Control

AI-based technologies are helping to change the way we think about traffic control. First, it can help predict traffic patterns and help to optimize traffic flow. Secondly, AI can monitor traffic conditions in real time and provide information to vehicles about accidents, congestion, and other potential hazards. Overall, this information and communication technology (ICT) can provide a framework for Smart Cities powered by AI.

24. Text-to-speech

Text-to-speech (TTS) technology is used to convert written text into spoken voice output. TTS systems are used in various applications, including assistive technologies for the visually impaired, educational tools, and entertainment products. Regardless of the approach used, TTS systems typically use some form of natural language processing (NLP) to generate the spoken output.

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25. Gaming AI

AI is used in gaming to create realistic and believable opponents for players. This can be done by programming AI to react and respond in certain ways to a player’s actions. For example, if a player is moving quickly and erratically, an AI opponent might respond by trying to flank them or corner them. If a player is being very cautious and methodical, the AI might try to rush them or catch them in a trap. By reacting realistically to a player’s actions, AI opponents can make games more challenging and fun.

26. Customized Selfies

Pictodream

No need for Photoshop anymore! By using AI, you can generate realistic images of yourself in any style or setting with just a text-based description. For example, PictoDream can do this all for you. Although it’s great for your social media profile, you shouldn’t use it to create professional headshots to apply for a job.

27. Background Removal

If you’ve ever had to remove the background from an image for work or another project, you know how difficult it can be to get the job done manually. Fortunately, AI tools like remove.bg can remove the background from a photo and add a background in just a few simple steps.

28. Virtual Travel Agents

The travel and tourism industry is a massive global economy with enormous numbers. But sometimes, human travel agents can’t handle all the load. This is why many airlines, hotels, and other travel-related businesses are now introducing virtual travel agents as AI chatbots to help streamline their services.

29. Precision Agriculture

AI is playing an increasingly important role in precision farming. Farmers are using AI-powered systems to make more informed decisions about their crops and land. For example, AI can be used to track crop growth, detect disease, and predict yield. This information can help farmers to optimize their irrigation and fertilizer use, as well as choose the best time to harvest their crops.

30. Solving Rubik’s Cubes

AI can solve a Rubik’s Cube by using a search algorithm, such as A*, to find a path from the current configuration of the cube to the solved state. This involves exploring the space of possible moves and finding a path that leads to the solved state. OpenAI has released a video of their AI successfully solving a Rubik’s Cube with a robotic hand.

31. Fraud Prevention

AI is everywhere and fraud prevention is no exception. Fraudsters are getting smarter every day, which means that the job of fraud detection becomes even more challenging. Machine learning algorithms help identify red flags by identifying patterns in historical data, and then assigning a probability that a transaction is fraudulent based on those patterns.

32. Robotic Vacuums

In the battle of man vs. machine, it appears that machines are coming out on top—at least when it comes to housework. Robotic vacuum cleaners have been cleaning up carpets and rugs for quite some time now, and this fascinating field is only getting more exciting with new innovations. Armed with deep learning for better mapping, robotic vacuums use object identification and event-based cleaning to find the best cleaning path.

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33. Personalized Shopping

In eCommerce, automated recommendations are the perfect way for e-commerce sites to increase their conversion rates and sales volume by introducing visitors to products they might like but wouldn’t have found on their own. These strategies use browsing data, user profiles, and other information to identify users with common interests, or those that appear interested in specific categories or products. AI can use this information to suggest related new products and drive up sales volume – without human intervention.

34. Chess Engines

Chess AI

Artificial intelligence, neural networks, and deep learning have led to major advancements in chess engines. By training a neural net using supervised machine learning, chess engines operate on an artificial intelligence system that searches for possible moves and evaluates the strength of each. But it’s not only limited to chess, as this is true for Go with AlphaGo.

35. Remote Sensing Classification

Remote sensing classification is the process of assigning labels to pixels in satellite-based images based on their spectral characteristics. One common approach is to use machine learning algorithms to automatically learn features from raw data that can be used to distinguish between different classes of objects (such as buildings, forests, etc). Remote sensing analysts can use a variety of techniques, such as support vector machines or deep learning.

36. Chatbots

Chatbots are essentially automated AI agents that can talk to you like a human. Although they are still fairly new, chatbots are becoming an effective tool in customer service. From helping customers find information about a company to making purchases and even booking tickets online — chatbots can be used for just about anything. 

37. Tattoo Artists

AI Tattoos

AI has the potential to transform the tattoo industry by automating processes and enhancing creativity. Tattoo artists use AI to create inventive designs by inputting data about what the customer wants into the application. The software such as Tattoos AI then creates a design based on the customer’s specifications including the type of tattoo they desire.

38. Credit Underwriting

AI can be used to help assess an applicant’s creditworthiness. This can be done by looking at an applicant’s credit history and using AI to identify patterns that may indicate financial responsibility or risk. Overall, this can help lenders make more accurate decisions about who to lend to and on what terms.

39. Military Drones

AI is helping drones in target selection during military operations. Using DeepMind’s world-leading MuZero, military drones can autonomously search for targets. This is especially useful in combat situations where time is of the essence to assist human operators to make split-second decisions.

40. 3D Model Building

Text-to-3D is a technology that allows computers to generate three-dimensional models from textual descriptions. It is based on the idea that if a computer can understand the meaning of a text, then it should be able to generate a three-dimensional model that represents that meaning. Although text-to-3D technology is still in its early stages, it’s very promising for the gaming industry.

41. Cold Emails

If you want to reach out to someone you don’t know, there may be an easier way to write a cold email through artificial intelligence. Natural language processing helps identify the key points that need to be covered in the email. This can help to ensure that the email is focused, personalized, and on-point, and can also help to prevent the email from sounding too robotic or formal.

42. Text Restoration

The process of restoring ancient texts is a time-consuming and labor-intensive task. The DeepMind project uses a neural network to ‘read’ ancient Greek inscriptions and estimate their age, with an error of about 30 years. Overall, AI is playing a vital role in ancient text restoration by helping to improve the accuracy and readability of texts.

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43. Recommendation Systems

Developers are turning to artificial intelligence and machine learning to create user experiences that go beyond traditional recommendations. Predictive analytics can analyze past user behavior to better understand what someone is likely to want or need in the future. This information can then be used to recommend similar or recommended items on a website.

44. Plant Identification

Plant identification can be a huge deal for conservationists and any nature lover who wants to learn more about their surroundings. Machine learning and computer vision algorithms can automatically learn patterns from data for identifying plants such as in Lobe. For example, a dataset of plant images could be used to train a machine learning algorithm to learn the visual characteristics of different tree species. Once trained, the algorithm could then be used to identify plants in new images.

Plant Identification

45. Brainstorming Ideas

With AI it’s possible to train a computer on what kinds of things are useful to humans so that when you ask it for ideas about something like a car engine, or ways to improve battery life, it can come up with potential solutions almost instantly. It might not be perfect but AI is getting more and more capable of assisting us with our creative problem-solving every day.

46. Assisting the Blind

Artificial intelligence is providing visually-impaired persons with access to information that they would otherwise be unable to access. For example, there are now apps that use AI to provide audio descriptions of pictures, which can be extremely helpful for someone who is blind. Other ways that AI is being used to help blind people include developing better methods of navigation and helping them to identify objects and people around them.

47. Route Optimization

Route Optimization

Route optimization with AI involves using algorithms to calculate the most efficient route between two or more points. This can be done for a variety of purposes, such as finding the shortest distance between two points or finding the fastest route that avoids traffic congestion. There are many factors that can affect the best route for a vehicle, such as traffic, weather, construction, and more. AI can take all of these factors into account and find the best route based on the data.

48. Quantum Computing

Quantum Artificial Intelligence (QAi) is a new class of artificial intelligence that harnesses the power of quantum mechanics to tackle problems that are beyond the reach of traditional AI methods. With its unique properties, quantum computing can tackle problems in areas such as chemistry, drug discovery, molecular biology, and financial modeling, which are currently challenging for classical artificial intelligence methods.

49. Energy Systems

Smart grid is a term used for a variety of technologies and practices that aim to deliver electricity more efficiently and reliably. A key component of the smart grid is the use of artificial intelligence (AI) to help manage the grid. First, AI can predict demand and optimize power generation and distribution in a smart grid system. Additionally, AI can potentially detect and diagnose problems on the grid, and automatically respond to disruptions.

50. Aircraft Simulators

The design of simulation-based pilot training systems using machine learning agents typically involves creating a virtual environment in which the agent can fly a simulated aircraft. This environment is then used to train the agent, using reinforcement learning, to fly the aircraft in a variety of different situations. The goal is to have the agent learn how to fly the aircraft as well as possible so that it can be used to train real pilots in the future.

51. Self-Driving Cars

Self-Driving Car

AI is playing an increasingly important role in self-driving cars, helping them to navigate safely and efficiently. Using a variety of sensors and data, AI systems can build up a detailed picture of the world around the car, identify potential hazards, and plan a safe route to the destination. In some cases, AI can even take over driving completely, responding to changing conditions and keeping the car on track.

52. Disaster Early-Warning Systems

Disasters can strike anywhere, at any time. That’s why it’s so important that we have early-warning systems in place to alert populations of imminent danger. AI can analyze data from sensors that monitor conditions in an area that is prone to disasters, such as earthquakes, volcanoes, or hurricanes. In addition, AI can develop models that predict the likelihood of a disaster occurring, and identify potential warning signs that a disaster is about to occur.

55. Video Creation

Videos are one of the most engaging ways to share information with others. But creating video content can be challenging, time-consuming, and intimidating for some. AI technology like Studio D-ID creates opportunities to streamline video creation by enabling users to create videos in a faster, easier way. Based on textual inputs, AI can dub voices into deep fakes creating a realistic video representation.

53. Black Hole Discoveries

Computer vision AI algorithms are able to view black holes by detecting and processing patterns of light and dark pixels in images from 8 separate telescopes. By analyzing these patterns, the algorithms can identify the shapes and sizes of black holes in the images.

54. Disease Mapping

AI is increasingly being used to help track disease outbreaks. By scanning social media and information streams, AI can quickly identify potential disease outbreaks and provide early warning to authorities. This can help health officials to more quickly identify and respond to possible outbreaks, potentially saving lives.

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56. Reverse Image Search

When you request a reverse image search, it searches for images based on their content, rather than their filename or metadata.  But how does it know what’s in the image?  Search engines like Google use deep learning and image recognition algorithms to find images that are visually similar to the given image and display those as results.

57. Advertising Optimization

AI such as from GumGum can analyze past campaign data in order to identify patterns and trends that can be used to improve future campaigns. This might involve, for example, using machine learning algorithms to identify which combinations of factors are most likely to lead to successful outcomes and where customers are most likely to see them.

GumGum

58. Weather Forecasting

AI can forecast weather in a number of ways. One common approach is to use machine learning algorithms to automatically learn from historical data in order to make predictions about future weather patterns. This can be done using a variety of different techniques, including decision trees, support vector machines, and neural networks.

59. Improved Protein Design

Cradle Protein

AI can significantly accelerate the process by suggesting improvements and identifying more promising sequences based on machine learning algorithms and training datasets. These AI-assisted design tools like from Cradle make it easier to get started with protein design, improve thermostability, optimize codons, and much more.

60. Talent Recruitment

Talent recruiters can use AI to automatically screen applicants by matching their qualifications with the requirements of the open position. Secondly, AI can assist in scheduling interviews and sending reminder notifications. Finally, AI can send follow-ups with applicants after an interview by sending them automated messages or requesting feedback.

61. Supply Chain

AI can automate and optimize various supply chain planning processes, such as inventory management and order fulfillment. Additionally, AI can help assess risks and opportunities across the supply chain, and to develop plans to mitigate or capitalize on them.

62. Climate Change

Global Warming

Climate modelers are increasingly turning to neural networks to help tackle the issue of climate change and atmospheric scenario modeling to develop more accurate climate models. These models can be used to better understand the potential impact of climate change and to develop mitigation and adaptation strategies for climate change.

63. Manufacturing Systems

AI is used in assembly automation to streamline the process of assembling products. By using AI to automate the assembly process, manufacturers can increase efficiency and productivity while reducing costs. In addition to traditional monitoring methods, manufacturers can now use machine learning, predictive analytics, and IoT to monitor and respond to changes in their facilities in real time.

64. Artificial Internet of Things (AIoT)

The emergence of the Internet of Things (IoT) has made it possible to collect and analyze data from sensors connected to devices, machines, and other objects. While IoT solutions have grown rapidly in many industries, AI will soon add a new dimension to the Internet of Things by gathering big data, autonomously learning, and making decisions.

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65. Voice Assistants

No matter which voice assistant you use (Siri, Alexa, or Google Assistant), their usage is growing rapidly. They use a combination of Natural Language Processing (NLP) and machine learning to interpret and respond to user requests. NLP is used to analyze the user’s speech and extract the meaning, while machine learning is used to generate responses and improve the accuracy of the system over time.

66. Photo Restoration

Photo restoration is a specialized field of digital image restoration techniques that is focused on fixing damaged photographs. Whether it’s from light and moisture damage, or even it’s just an uncolored photo, AI tools like Palette can easily transform your images into vibrant and colorful works of art.

Photo Restoration

67. Marketing Campaigns

AI can improve targeted advertising by identifying potential customers and targeting them with relevant ads. Additionally, AI can be used to analyze customer behavior and preferences in order to better understand what they want and need, and then tailor marketing campaigns accordingly. 

68. Research Search Engine

Knowledge is power and artificial intelligence is changing the way humans acquire data from search engines. AI-powered apps like Consensus get you straight to the facts by making science accessible to everyone. When you type an entry into the search engine, it provides you with the most insightful source of science-based research.

69. Excel Formula Bots

ExcelFormulaBot

Excel formulas are the backbone of any spreadsheet. Without the right formulas, you cannot analyze your data in a logical way. Get AI to do the heavy lifting for you to create Excel formulas. After you provide text-based instructions, the AI-powered Excel Formula Bot can build customized Excel formulas for your spreadsheets.

70. Cybersecurity

AI can analyze large amounts of data to look for patterns that may indicate an impending attack. Next, it can also be used to monitor activities in real-time and identify suspicious behavior that could be indicative of an attack in progress. Once an attack is detected, AI can be used to automatically take action to contain the threat and minimize damage.

71. Pixel Art Scaling

Photo Enhancer

AI image enhancement algorithms powered by DALL-E 2 are making their way into software that you use every day. Tools like Lets Enhance can help users improve their photo quality with cutting-edge AI image enhancement technology such as upscaling photos with improved quality.

72. Search Engines

Today’s users are demanding a more personalized search experience. AI-powered search engines like You.com interpret search queries, ranks the results, and translate can them into multiple languages. Overall, it strives to simplify your life by compiling the web’s vastness into concise and easily digestible summaries.

73. Warehouse Management

Artificial intelligence is making its way into warehouses across the world. AI is playing a pivotal role in boosting productivity, visibility, and safety of warehouse operations and coordination of activities.

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74. Personalized Education

AI is changing the face of education. For instance, apps like Duolingo can use AI to better understand how users are learning and using the language and then tailor the content and experience accordingly. Additionally, the app’s speech recognition technology can provide feedback on pronunciation and help identify areas where a learner may need more practice.

75. Customer Relationship Management

AI is increasingly being used in customer relationship management (CRM) in order to provide more personalized and efficient service. By using data analytics, AI can help identify patterns and correlations in customer behavior in order to better predict their needs and preferences. This allows businesses to provide more targeted and relevant communication and service, leading to improved customer satisfaction. Additionally, AI can be used to automate and streamline various CRM processes, such as lead generation, follow-ups, and appointment scheduling.

76. Retail AI Assistance

Retail AI assistants are designed to help retail businesses automate various tasks, including customer service, order processing, and inventory management. By using artificial intelligence and machine learning algorithms, these assistants can provide accurate and up-to-date information about products, pricing, and stock levels. Additionally, they can handle customer inquiries and complaints quickly and efficiently.

77. Smart Cities

Smart City

Smart Cities are designed to be more efficient and effective in their use of resources, and AI can play a significant role in helping them to achieve these goals. AI can be used for tasks such as monitoring traffic patterns and weather conditions and providing real-time information to city residents and businesses about the best routes to take and the conditions they can expect. In addition, AI can also be used to help manage energy use, by predicting demand and providing information about how to best use resources. 

78. Telecom

Telecom companies use AI to help manage their networks. AI can help telecom companies to automate the management of their networks, making it easier to keep track of network performance. AI and ML-powered NPM systems can identify potential bottlenecks by finding unusual patterns and anomalies before they cause issues.

79. Accounting and Bookkeeping

Accounting firms are integrating AI in several ways. First, robotics processing automation (RPA) has the potential to scan invoices, validate, and decide to post, park, or block the invoice automatically. This can transform the entire business cycle by streamlining legacy systems. Additionally, advanced analytics solutions can help firms gain a better understanding of emerging market trends, identify new performance KPIs, and make forecasts more accurate and timely by leveraging Big Data.

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80. Social Media

One way social media like Facebook uses AI is to help surface content that is most relevant to each individual user. By using machine learning algorithms, they can better understand user behavior and preferences. This helps to ensure that users see content that is most interesting and engaging to them and that they are less likely to miss important updates from friends and family.

81. Sentiment Analysis

Sentiment analysis (aka opinion mining or emotion AI) use natural language processing, text analysis, computational linguistics, and biometrics to categorize opinions expressed in a piece of text. The purpose is to gauge customers’ feelings about a product or service or to predict how successful a new product or service might be. This can be extremely useful for investing and social media.

82. Driver Assist

Driver assist systems use AI to improve safety and efficiency on the road. For example, AI can be used to process data from sensors in order to identify potential hazards and obstacles on the road ahead. This information can then be used to provide warnings to drivers or even take evasive action automatically if necessary.

83. Contracts Drafting

Contracts are essential legal documents, as they outline the responsibilities and obligations of each party. But the wrong contract information could cost you time and money. Applications like Spellbook use GPT-3 to check over and include language for your contracts in Microsoft Word.

84. Autocomplete

Autocomplete is a feature in many electronic devices that completes a word or phrase after the user has only typed a few letters. This can be extremely useful, especially when typing on a small keyboard or mobile device. Autocomplete can use a variety of algorithms, but most commonly it uses some form of AI and machine learning to predict the word or phrase that the user is trying to type.

86. Photo Tagging

Surveillance

Photo tagging is a process that uses computer vision to identify people, objects, and locations in photos. By analyzing the pixels in an image, a computer can identify certain features and then label the image accordingly. For example, a photo of a dog might be labeled “dog”, while a photo of a cat might be labeled “cat”. Surveillance companies can use this information for monitoring tresspassers.

85. Clinical Decision Support Systems

AI is playing an increasingly important role in healthcare, particularly in the area of clinical decision support systems (CDSSs). CDSSs are computer-based systems that use patient data to support clinical decision-making. They typically can improve diagnosis or provide recommendations based on evidence-based guidelines. 

87. Delivery Robot

Delivery robots are increasingly using AI to help them navigate their way around obstacles and to their destinations. By using sensors and mapping technology, delivery robots are able to create a virtual map of their surroundings and plan the most efficient route to their destination. Additionally, they may use AI to identify and avoid potential hazards along their routes.

88. AI Joke Creator

AI can recognize human speech, drive cars, and beat humans at chess. But can it crack a joke?  Of course, it can! You’ve probably heard your fair share of bad jokes. Now, AI-powered apps like Jokelub can tell you an unamusing joke too, or even write stand-up routines for comedians.

89. Satellite Monitoring

Satellites play a crucial role in monitoring the world. They are an essential tool for tracking and measuring changes in our climate, natural ecosystems, and society. With deeply learning classification techniques, satellite monitoring can now be more precise and cost-effective than ever before.

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90. Patient Misdiagnosis

Diagnosis of diseases and conditions is a challenging process for healthcare professionals. The risk of misdiagnosis remains one of the main causes of unsuccessful treatment. AI and machine learning are technologies that can help detect potential risks or anomalies and reduce the risk associated with misdiagnosis. The technology can help doctors catch diagnostic errors before they occur and thus prevent them from happening in the first place. 

91. Work Graphs

Collaborative filtering is the method by which the work graph is created, using machine learning algorithms to predict someone’s interests and preferences by collecting data about the preferences of many other individuals. For example, when a person signs up on a platform, the algorithms will collect data about the channels they join, who is active in those channels, and where else those individuals are active in order to recommend other channels to them.

92. AI Filters

Faceapp AI Filter

Everyone loves a good selfie. In fact, the ‘selfie’ has officially been declared the word of the year by Oxford Dictionaries. But if you want to improve or alter the appearance of digital images or videos, an AI filter is an automatic process that is designed to do just that. For instance, AI filters used on Faceapp can remove blemishes, wrinkles, and other imperfections, as well as to add makeup, hairstyles, and other enhancements.

93. Automatic Subtitles

The use of AI and machine learning has the potential to greatly increase the production of high-quality subtitles at a faster rate than has been possible until now. AI filters out noise from the audio track, which makes it easier to understand. Finally, speech recognition programs can transcribe the audio of a video into text. This text can then be used as the basis for subtitles. 

94. Video Summaries

AI-based video summarization can be a powerful tool for extracting key information from videos while preserving the original context. This NLP technology can be used to create summaries of long, complex videos or to highlight key moments from shorter clips. Video summarization using AI can help you quickly find the most important information in a video, making it a valuable tool for both personal and professional use.

95. Deep Fakes

Deep fakes create realistic-looking images or videos of people who do not exist, or to make real people appear to be doing something they have not actually done. Generative adversarial network (GAN) and artificial neural networks, which recognize patterns in data, are what drive the creation of deepfakes. On the other hand, shallowfakes don’t use deep learning, but have similar quality.

96. Team Productivity

Automating repetitive tasks can free up team members to focus on more important tasks. For example, if a team is constantly having to fill out the same paperwork or input the same data, an AI system can be employed to do this for them. This can save a lot of time and allow team members to focus on more important tasks.

97. Fashion Design

The fashion industry continues to rapidly change and evolve at an accelerated pace. And perhaps no other innovation in the industry has been as significant or impactful as the digital interface that unifies all design processes into a single end-to-end solution. Fashion designers can now use DALL-E, OpenAI’s AI service to generate new products, sketches, and prototypes. One example is CALA, which is a scalable, all-in-one platform for fashion.

98. Conversation Context

AI Chatbot

Messaging apps have a number of features that use AI. For example, they can suggest replies to messages based on the context of the conversation, and it also has a search feature that uses natural language processing (NLP) to understand the user’s query and find the most relevant results.

99. Social Media Biographies

If a picture is worth 1,000 words, then your Twitter or Instagram bio surely can’t be that impressive. Maybe it’s because most people only have about 160 characters to work with when creating their social media bios. Even if you manage to pack in more than that, the end result probably doesn’t even fit on the screen. That’s why one of the best ways to optimize your social media presence is with an AI-powered bio generator. With new AI tools available online, you can create awesome new bios in seconds

100. Instant Replays

Instant replay has been used in soccer for many years, but it has only recently begun to use AI to improve its accuracy and efficiency. Sensors are used to track the movement of the ball and players on the field, then AI can identify potential goals, offsides, and other infractions. This data is then used to make decisions about whether or not to review a play and, if so, what angle to show the replay from.

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