AI is changing the world right before our eyes, and it’s going much faster than many of us realize. Development has been taking leaps and bounds in a number of different fields, its progress steadily accelerating. You may not see it, but the future of AI is happening now, and it’s as impressive as it is promising.
Artificial Intelligence App Development
From photography to education and science, there are fewer and fewer areas and industries that aren’t incorporating an AI-powered app into their systems. The apps being developed currently are just the tip of the iceberg when it comes to the functions and capabilities of AI, which not only enhances performance but saves time for individuals and organizations. The aim of this article is to introduce various types of apps that need to be developed using Artificial Intelligence in 2021.
Cool App Ideas With AI
Let’s now explore the many different ways in which AI can be, or already is being incorporated into the kinds of apps that are a fundamental part of our lives, to make them even more effective and useful than ever.
The AI chatbot apps allow individuals to solve issues or get information quickly and efficiently. Organizations that provide quality customer service through these apps will be able to handle the growing number of customers who prefer to take care of simple tasks online rather than go through a series of annoying steps over the telephone.
Some other uses:
One can communicate with their banks or insurance companies for any queries related to their accounts or policies; they can get in touch with doctors for basic medical queries; get driving directions from Google Maps and many more services such as flight bookings. The list is endless, and AI is making it all happen!
Apps for Better Learning
The learning applications are being designed to provide children with a host of useful insights into their academic careers, which will help them in better focusing on their strengths and weaknesses. The AI-based apps will thus improve the chances of students succeeding in school as well as beyond.
Some other uses:
These apps can be used by individuals who are trying to learn new languages or enhance their skills at cooking through step-by-step instructions provided by images/video clips; they can get instant updates on daily news, weather forecasts, exam results., without needing to browse different websites.
Apps for Customer Relationship Management (CRM)
The CRM apps use data analytics to help customers get the best out of their experience, thus increasing customer satisfaction and brand loyalty.
Artificial Intelligence Travel Apps
Existing travel search engines do an okay job when it comes to finding the perfect destination, but there is still plenty of room for improvement. The future holds extremely exciting possibilities for traveling enthusiasts thanks to the aid of Artificial Intelligence.
Some other uses:
AI will be able to provide you with reviews of restaurants by analyzing your taste preferences; it can give you an accurate estimate of traveling time between two destinations based on real-time traffic updates; it can also reserve a hotel room for you once your flight lands or offer reviews about high-quality hotels in the area.
Apps for Recreational Activities
If there’s one sector where they are expected to make a huge impact over the next few years, it is the recreational industry. Some really exciting developments are being made through analytics that are changing the way hobbies are practiced all over the world. No matter what type of recreational activity people enjoy, whether it is hiking, football, tennis, badminton, or any other sport, these apps are sure to have plenty of exciting experiences waiting ahead!
Some other uses:
AI-based apps will be able to generate data analytics that can be used by athletes for perfecting their skills; they can help you discover new recreational activities at the click of a button without having to do extensive research on different websites.
Apps for Learning New Skills
AI learning applications are already making it extremely convenient for individuals to learn new skills in order to keep up with the rapidly changing workplace. These apps are also being developed for students who may need remedial lessons before starting out on their own after graduating from college/university. Some great examples include Microsoft’s coding app for schools, “Minecraft”, and IBM’s Watson for Cyber Security.
Some other uses:
These apps can be used by professionals who are trying to upskill or learn new methods of doing things; students who need extra help with learning concepts that they find difficult; individuals who want to learn face reading in order to live a happier life without losing their jobs/friends!
Autonomous cars are here to stay, and they’re probably going to change the automotive industry in more ways than one. For example, Uber is already offering free ride services over short distances using driverless vehicles that are making millions of trips each day across cities – something that would have been impossible without AI! Google’s Waymo just started their own commercial service which lets people hire a self-driving taxi.
Amazing AI app ideas and functions for autonomous cars include passing information about accidents in real-time to other drivers on the road or navigating difficult locations. The amount of data being captured by these sensors is going to be massive, giving researchers tons of insights that will help them develop safer systems for the future.
Apps Using AI To Build AI Products
Not only are we using AI apps to help us with our products and services, we’re also using AI to actually create them, because the demand is increasing immensely. It’s clear that artificial intelligence has taken hold in many different sectors, so it comes as no surprise that hundreds of companies are investing their time and resources into developing apps that can support this technological advancement. A new software application development company called “AI App Factory” was launched to build AI-based products for high-end startups across the world!
Apps That Use AI for Image Recognition
Facebook is now powering its search functionality with deep learning so that people can find what they want without having to type full words. Just last month, Google Photos updated their app for iOS devices with an impressive update that lets users search by what’s in their photos using keywords like “cat”, “beach”, etc. It goes on and on because there are plenty of apps out there that can benefit from this amazing technological breakthrough.
These apps can be used to study a person’s facial features, making it easier for employers/law enforcement officials to find criminals; they can also help you discern whether someone is lying!
EXAMPLES OF APPS THAT USE AI IN 2021
There are tons of apps that rely on deep learning or machine learning for their features. Here are some examples that should give you a good understanding of how applications can take advantage of this technology:
Google Translate has been helping people communicate since 2006. The app includes a feature called “Word Lens”, which can translate signs/labels by pointing your phone at them. Google introduced a neural machine translation system which makes use of artificial neural networks to translate text between different languages without having to use any additional input. In 2021, Google Translate was able to get a word error rate of 6.9% which made it possible for the app to translate conversations that were more natural.
IBM Watson Tone Analyzer
This app uses AI to help you understand the emotional state of the person on the other end of your phone call. It translates your voice into text which is then analyzed by a machine learning model to determine how an individual with depression or anxiety would sound like or whether they are being truthful about their emotions.
Siri was one of the first smart personal assistants and it started out as a research project by SRI International and later became an integral part of Apple’s operating systems. Siri has been updated several times since its launch in 2018. It’s improvements include real-time language translation and voice recognition.
In 2021, Alexa has expanded its skillset to include “visual skills” which allow devices to recognize objects and change the TV channel. These features are powered by cognitive services like image recognition, search, speech to text, natural language understanding (NLU), etc.
Facebook’s Photo Tagger
Since 2011, Facebook has been using deep neural networks to suggest tags for photos! These models are based on the architecture of convolutional neural networks which power visual information recognition. The basic idea is that you feed an image into a neural network and it will identify the relevant objects in it. This makes tagging much more efficient because you can tag a person by their face rather than having to type out their name every time they’re in a new picture.
Tesla’s Autopilot mode
Tesla’s Autopilot mode uses deep neural networks to take control of a car while the driver is still at the wheel. This system has been found by researchers from CMU University in Pittsburgh to be 75% safer than humans during tests. In 2021, Tesla cars were able to drive for almost 12 hours without any hands on the steering wheel.
These are just a few examples of what’s already out there, but we’ve hardly reached the precipice of a world in which AI-based applications become interwoven with our daily lives, making them easier by performing more and more tasks. They will continue to improve our safety, security, and convenience (the key areas targeted by every large tech company), but on a much greater scale and in more areas of our lives. Since these technologies are being developed at an extremely rapid pace, there are endless possibilities waiting ahead.
Keep an eye out for even more AI-powered apps to be developed over the next few years, which will tackle increasingly complex tasks and make human-like decisions!
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