Innovative uses of AI by different industries
Artificial intelligence (AI) is transforming virtually every industry, driving innovation around every corner. Almost every industry is finding new ways to implement AI technology. A handful of these techniques are particularly creative, ranging from fintech to education and even agriculture. These innovative AI applications are helping propel the entire field of AI into the future.
1. Catch the fraud
AI’s pattern recognition capabilities allow it to play an important role in financial technology. Banking and credit institutions use AI to detect fraud and protect customer money and data. It can take days for the cardholder to notice a strange transaction on their account. An AI, on the other hand, can immediately recognize suspicious activity and take action.
For example, he may notice that a transaction does not match the types of products a person normally buys. The AI can also recognize unusual IP addresses or delivery addresses. Suspicious buying behavior like this will prompt the AI to abort the transaction and verify its legitimacy before authorizing it.
2. Pick apples
Some might be surprised to learn that AI is revolutionizing the food industry. Researchers have developed a robot that uses computer vision and deep learning to identify ripe apples in an orchard and pick them independently from the trees. The robot can harvest an apple every seven seconds using a specially designed claw.
This same technology could also be applied to harvesting virtually any other fruit or vegetable. Farm robots will help the farming industry meet the growing demand for fresh food around the world.
3. Schedule maintenance
Industrial vehicles like those used in construction require regular maintenance to stay operational. However, major repairs can be extremely expensive, given the size and complexity of these vehicles.
AI makes maintenance easier, safer and cheaper. With the help of Internet of Things (IoT) sensors, AI can track performance of a vehicle over time and detect fluctuations that may indicate maintenance needs. This allows vehicle operators to perform tune-ups before a major repair is needed.
4. Improved quality control
As more and more businesses grapple with labor shortages, it becomes increasingly difficult to meet the demand. Manufacturers need a solution to meet customer demand without sacrificing quality. AI is revolutionizing assembly lines and manufacturing facilities around the world.
Using computer vision and IoT sensors, AI can scan items for quality defects. A robot arm can even be used to allow a single AI-powered camera to scan a large object. The AI is trained to recognize an intact version of the item as well as key indicators of a faulty item. This capability effectively automates quality control, simultaneously increasing production efficiency and quality.
5. Teach social skills
It may sound like something out of a sci-fi movie, but AI companions for kids have become an everyday reality. AI-powered robots help kids learn social skills and life skills.
For example, the Moxie robot uses natural language processing (NLP) to have realistic conversations with children. This teaches key life skills and social skills like kindness, empathy and respect. Moxie will even participate in games and play with the children, with activities like drawing and meditation. As online learning and homeschooling become more popular, more robots like Moxie are sure to emerge.
6. Design the architecture
Among the most exciting next-generation applications for AI is generative design, which is used to design new innovative buildings and structures. Given a set of parameters, AI algorithms can often come up with innovative solutions to architectural challenges, like finding the best support system using the fewest materials.
Generative design even helps architects come up with creative and artistic new building concepts. Along with architecture, generative design is also used to design robots, Martian habitats, and countless consumer products.
Pushing the boundaries of AI
Artificial intelligence is already cutting-edge technology, but these innovative applications are helping to further advance AI. New approaches to implementing AI will drive research and development for years to come. The growth and diversity of AI development is helping businesses and people in all niches and sectors live and work better. Creative applications will drive the AI innovations of tomorrow and improve the AI technology of today.