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The Future of Machine Learning – Time Travel into the future

Future of Machine Learning

Machine Learning as we know, is becoming very popular. It is now becoming a top player in the industry. This field has a lot of research potential. It is the top subject for research papers in computer science.

Machine Learning is a part of the much bigger Artificial Intelligence. There are many types of AI. Today, various industries and researches use ML.

Machine Learning is growing due to one of the key factors, that is, computational and processing power. The more advanced the GPUs and processors become, the more ML evolves. With better GPUs, the computation of larger data is possible at a faster rate.

ML has now grown into something remarkable. The impact it has on the workforce is impressive. It is one of the fastest-growing fields in computer science. With this pace and growing influence on the market, it has a bright future.

All ML, AI and Deep Learning are advancing. The future we would live in will be definitely automated by these three.

Machine Learning Future

As we know, many fields are using ML. Both technical and non-technical. There are various applications of ML, which are under research. These applications can be very much futuristic.

The concepts we study could be a normal application in the future. The future of Machine Learning is very much dependent on these concepts now.

Let us have a look at them.

1. Machine Learning in Roboticsml future in robotics

 

Many fields use ML algorithms in their development. Robotics is one of them. ML is used in designing the software of the robots. It can be a great help in the analysis of robot movement through simulation.

Robotics is important as it tests various capabilities of machines. It is one of the best interactions between a computer and a machine. We have various universities in the world working on these. We have MIT in the USA to Tokyo University working on this.

Robotics using ML has a fine future. It can cut the labor force of humans. Some big hotels, airports, etc., have live robots. They are in use for customer interactions.

2. Machine Learning in Healthcarefuture of ml in healthcare

The future of Machine Learning in healthcare is still under great research. It can help in curing diseases largely. It can be very cost-effective and efficient in the future. Various research is going on using ML for cancer treatment, heart ailments, etc.

Machine Learning will not completely replace humans in the medical field. However, it will provide great support in detecting and curing diseases. It has a great scope in hospitals. In the future, we might see its actual implementation.

Today, machine learning helps to streamline administrative processes in hospitals, map and treat infectious diseases and personalize medical treatments. It can impact hospitals and health systems in improving efficiency, while reducing the value of care.

3. Machine Learning in Educationfuture of machine learning in education

Machine Learning is currently playing an important part in many countries. It has changed the face of education in many countries.

China is a great example of AI-based education. China is using various techniques to check every student. It is using headbands to measure a student’s concentration. Every student in class wears it. The bands measure the brain of each student. Then it sends the data to the teachers. The teachers can see which students are focusing. This data is also sent to the parents. Through this, China uses ML to make students focus better. This was one example.

Smartboards make use of ML as well. Machine Learning will certainly give a new way of learning in the future.

4. Machine Learning in Bankingmachine learning future in banking

Machine Learning is playing a crucial role in the commerce industry. ML algorithms can help to predict stock market performances. It can measure GDP growth in the future. It can help in various startups and businesses. With all this, the future of Machine Learning in banking is taking a new step ahead. ML is helping various firms to make money.

It can succeed in the financial advisory as well. It’s used to make better business and investment decisions. It has a great future ahead. Since it will cause minimal losses to the companies around. ML will be a great helper in banking.

5. Machine Learning in Geology

The future of Machine Learning in geology sounds interesting. It will surely affect the field if it becomes a success. But, it is currently under research. It is only used to map and study the Earth’s surface and below it.

ML can be of great use for studying Earthquakes. Although, predicting exact timing and place of earthquakes is not possible. However, research is happening in this. It can be very helpful to save lives if it happens. Scientists are developing algorithms to make it possible. However, it will take time to develop a high-level algorithm.

6. Machine Learning in Weather

Weather is the driving force of Earth. Monitoring the weather is very important for many things. Sudden changes in weather can lead to disaster. Like, it can cause cyclones in seas. It can cause drought or heavy rainfall in some areas. It can cause various other changes in a place.

AI or ML has certain models to monitor the changes. The Machine Learning algorithm will check the weather of a place. It will take the data for a certain period. Using that, and the place’s landscape, we can predict the weather. We can predict the weather of the place for future days. This will give us a warning of an oncoming disaster. There are many places where this is in use. In addition, it is under research. It can be very much better in the future.

7. Machine Learning in Agricultureml future in agriculture

The future of Machine Learning in Agriculture is a great platform for ML to succeed. Big companies like Microsoft, Google are taking initiatives. It includes AI for Earth projects. This ensures that the crop is of top quality and that it takes less time.

The ML algorithms check soil conditions and predict the quality of products. It can cut labor by doing all the fieldwork itself.

AI-powered drones can sprinkle seeds, water, pesticides, etc. This can help a much healthier quality of crops. Many countries in North America and Europe are making use of it. It is slowly spreading in Asia and other continents.

8. Machine Learning in Landscape Recreation

Machine Learning can recreate a dying landscape.

Suppose you have a forest which been burnt or cut down. You can still plant trees using ML. This can happen in a very efficient way. Scientists have a very good concept for this.

An ML-powered drone would check the landscape. It would then shoot bullets containing seed into the ground. Using this, we can plant millions of trees in a couple of days. It is a great way to recover a lost landscape. It also reduces time and labor. The drones can then further analyze the area for growth signs. It is a great technique and can result in fast growth. It has a great future.

9. Machine Learning for Oceans

Machine Learning helps to measure various things in our oceans. The ML algorithm can help to measure pollution. It can study the movement and behavior of various species.

ML can be very helpful in cleaning the oceans. It is being used in oceanography. Machine Learning helps in studying the ocean topography. It can measure habitat distribution. ML can help in studying tectonic plates. It also helps in monitoring various species. We can locate and understand the behavior of species using ML. It will certainly succeed in the future. It can help us in protecting our oceans.

10. Machine Learning in Improving Food Quality

Machine Learning can be helpful for industry processes foods. A very good example is milk.

Many dairy farms in Europe are using ML-based testers. This tests the milk quality. It can also tell the condition of the cow. It can tell whether it is healthy or not.

The ML model here separates bad and good quality foods. This can do well in the factories. A batch of vegetables comes for packaging. The sensors can separate rotten and good vegetables. This prevents the whole batch from contaminating altogether.

Singapore is now using ML in a new way. They use ML to check the condition of people. Using that reading, it can sense what the person is lacking. It will then prepare a jelly of specific nutrients in it. But, it is still under research, though it has a great future. It can keep people fit and healthy.

11. Machine Learning in Smart Marketing

In the future of Machine Learning, it can provide you with creative ideas on marketing. It can provide you various alternatives.

This essentially means marketers who use machine learning to reinforce , optimize and automate their marketing campaigns actually get to take a position their intelligence in strategy over operations.

The ideas created by the ML algorithm can attract customers. This is a very young player in the market. It can create many startups in the future.

Summary

In this article, we saw the possible future of Machine Learning. We saw the key areas in which ML can succeed. ML can support various other areas. However, these are the most popular ones in ML.

ML has a great future ahead because of active ongoing research. It has a huge impact on the sectors now also. However, the future is very bright for this technology. Not only because it’s helpful, but also it’s money-making. This is enough reason for companies to use it. In addition, it is a great technology to invest in.