Artificial Intelligence (AI) is a technology that can be used in a variety of different ways. Some examples of AI are: Google’s AI-powered search engine, Facebook’s artificial intelligence chatbots, and IRobot’s Roomba 980 vacuum cleaner.
Facebook uses Artificial Intelligence to make sense of the data it collects from users and advertisers. This allows the social networking site to create new products and services. It also gives the social media giant access to a staggering database of user behavior.
Among other things, AI has helped Facebook prevent fake accounts from getting off the ground and from interacting with the network in the first place. The company has also developed technology to recognize suicide attempts.
Facebook also uses artificial intelligence to recommend posts and advertisements. The company’s algorithms are designed to analyze every user interaction. They are then used to suggest content that is most likely to get a good reaction from users.
Artificial intelligence is used in many ways at Facebook, from measuring engagement metrics to delivering relevant and timely messages through chatbots. But one AI application that has garnered a lot of attention is the ability to recognize and remove spam messages.
Another noteworthy AI feat was a new system that can identify the account of a person with the same IP address. Using this information, the social networking site can block a person from signing in in the future.
Other noteworthy uses of AI include the ability to track signals linked to questionable email addresses. A system known as DeepFace tracks those signals and alerts the system when they occur.
In addition, Facebook has created a new system that uses artificial intelligence to analyze photos at a very pixel-by-pixel level. The technology is able to detect and remove a Deepfake, an artificial account that is created with fraudulent intent.
Google Maps
Google Maps uses a lot of technology to deliver its services. In addition to letting users see where they are going, it uses artificial intelligence to predict traffic, determine the best route, and recommend alternate routes based on the way people are using the map. It also uses satellite images to show where you are.
The company’s latest update uses machine learning to analyze data to improve the routing and speed of your commute. For example, it will detect when you are stuck at a red light and suggest an alternative route. And it will also help you find your destination with its Live View feature.
Google Maps is one of the most popular travel tools on the market. Its traffic data is used to predict delays on roads throughout the world. But it can’t show you exactly what the conditions will be like on the road.
So, Google has been hard at work developing a tool that will help users navigate the road ahead. It’s called Driving Mode, and it uses AI to predict the best route.
According to the company, it can also determine which cars are moving in which direction and the speed of traffic in a given area. This is one of the most useful features of the app.
Google’s algorithms divide the road into supersegments. Each supersegment is a cluster of adjacent streets with shared traffic volume. These supersegments change size in real time to reflect changes in traffic.
IRobot’s Roomba 980 vacuum cleaner
Roomba 980 vacuum cleaner is an intelligent machine that can scan the floor and find its way around your house. It’s got a camera that captures images of the room, a suite of sensors, and AI that helps it to navigate the house.
During cleaning, Roomba will recognize objects in the room and mark them as permanent or temporary. This enables the bot to avoid bumping into them.
Unlike other robots, Roomba is able to get in hard to reach areas of the house. Thanks to a set of wheels that can turn 360 degrees, it’s also able to clean the corners of the home.
The Roomba 980 can perform two cleaning runs in the course of a single charge. Using the iRobot Home app, you can customize the cleaning schedule of the robot to suit your needs.
It also has an AeroForce Cleaning System that gives the robot twice the power of its Gen 3 motor to remove stains and high concentrations of dirt. A three-blade rotating nylon brush on the top of the machine grabs debris from the floor’s outer edges.
Roomba can also navigate around obstacles, like light mats, which may become tangled up. Although it uses a low-res camera, it can still identify objects and navigate around them.
Roomba 980 is Wi-Fi enabled, so you can control it remotely. You can also download the iRobot Home app to your Android or iOS device.
Google Lens
Google Lens is a nifty feature that helps you find useful information around you. It can read QR codes and barcodes, and recognize text. You can use it to scan homework assignments, or identify landmarks.
The Lens app is available for Android and iOS. It uses deep learning techniques to identify text and other objects in images. This is similar to the way Google’s Translate feature works.
The Lens is powered by your smartphone camera. You can launch it by tapping on an image. For example, you could say, “Hey, Google: Open Google Lens” and point your phone at a label or code.
The most impressive feature is the ability to read text aloud. As long as the words are in your native language, you can hear a word or phrase.
The application’s built-in translation function can also be used. The Lens can detect foreign language scripts and translate them into the local language. In addition, it can identify recognizable styles and products.
Other features include the ability to search for text in photos. You can find items, reviews, and information on products.
When you get a recommendation, you can share your feedback with other users. Similarly, you can use the Lens to identify a nearby florist.
Some of the other cool features of the Lens include the ability to scan QR codes and barcodes. This can be handy for business travelers.
Machine learning algorithms for age or gender identification
The proposed method uses classification to recognize age and gender. A neural network architecture is utilized to extract age features from ECG and other preprocessed input. These features are then processed into age classes.
Training of CNNs was performed on a separate group of 275 056 patients. All ECGs for each chronologic year of life were evaluated using the trained network for age.
For the training, raw 12-lead ECG signals were obtained from each individual. Age and self-reported sex were fed into the training process. This allowed for a deeper chart review. An internal validation data set was used to select optimal hyper parameters and select a threshold for sex classification.
As a result, the age estimation network yielded a mean age classification error of less than 20%. Additionally, the CNN-predicted age was compared to the chronologic age at which the ECG was obtained.
The results are promising for use in IVR systems. However, more research is needed to understand the accuracy of CNN-predicted ages. Furthermore, it is important to remove any unnecessary gender attributes from the algorithms.
Although the specific results of this analysis may not generalize to other types of machine learning applications, the overall performance and reliability of the system are still promising. In future applications, it is important to verify the certainty value of the prediction.
Another important consideration is the size of the neural network. Larger networks produce better results.
Artificial intelligence (AI) chatbots offer quick navigation and customer support in real time. They provide a seamless and engaging experience for shoppers by solving simple, repetitive inquiries. These AI solutions also allow you to streamline your business processes, improve sales, and provide better service to your customers.
In addition, conversational AI can perform more complex tasks, including finding products and images hidden in menus. This allows you to free up your agents to take care of more complex issues.
A chatbot can reduce support tickets by up to 50%. It also provides an easy way to transfer conversations from bot to customer service rep. The chatbot’s natural language processing technology can make it sound like a human.
AI can even detect when your live chat operator is unavailable. This way, it can send your customer to the package tracking page, where they can view their order status.
Chatbots are capable of handling thousands of messages at once. This means you can respond to a question as soon as it arrives, while a live chat representative must wait for a response. If your company wants to use this type of technology, you need to ensure it is deployed correctly.
Providing a fast and efficient service is high on the consumer’s list of priorities. According to surveys, customers want a quick response. And, they are looking for a omnichannel experience.
A smart ecommerce AI chatbot can help you overcome these obstacles. These chatbots can be used to answer simple, repetitive inquiries, recommend products, and push customers to complete their purchases.
Build your AI solutions with IoT Worlds, contact us!
