Ever since the microchip, nothing has managed to create such waves worldwide as the most advanced technology on the planet – artificial intelligence. AI and machine learning are now considered as the most promising and innovative technologies that have already, pretty much, revolutionized the world.

From the most significant achievements in medicine and science to the latest advancements in business communication, architecture, and education, no aspect of our everyday life isn’t somehow related to AI and machine learning.

Machine learning has quickly managed to transition the initial science fiction concept and become a daily reality. And thanks to AI and neural networks, deep machine learning is making considerable breakthroughs in the modern world. Let’s see how vital machine learning is today.

1. Intelligent Gaming

The gaming industry is one of the fastest-growing industries in the world. Machine learning has improved the way players interact with each other within the game and made gaming quests more challenging.

Through ML, gaming software can analyze the moves of the very best players, but, more importantly, it can teach itself to become better and provide a more significant challenge with each next gaming session. This is what made the latest games so engaging and exciting, even to the most advanced gamers.

2. Automate Transportation and Self-Driving Cars

When the concept of self-driving cars first appeared, it was nothing short of science fiction. The idea alone was laughable. However, fast forward to today, and we can already see these vehicles on the road.

According to a Google study, these AI-powered vehicles have surpassed human-driven cars in terms of learning traffic rules, patterns, and safety. Thanks to machine learning, these cars can collect and analyze all relevant data to determine the best driving routes and conditions in real-time.

3. Cyborg Technology

We all saw Terminator and were aware of the cyborgs in the worst context possible. But how about useful and helpful cyborgs, designed to assist and aid people? Our bodies are susceptible to certain limitations.

However, cybernetics can help us enhance our natural abilities and improve the extent to which we can augment those limitations. The potential for this technology is endless.

The best example is making prosthetics for those with amputated limbs. In the future, the brain will be able to establish neuropathic communication with a robotic limb.

4. Taking Human Factor Out of Dangerous Jobs

Bomb disposal and welding are among the most dangerous jobs globally, associated with the highest, most lethal risks. However, thanks to the latest drone technology advancements, we can lift some of the risks and allow these robots to take over these risky jobs. The more machine learning continues to improve in the future, the sooner the robots with AI will completely take over these jobs.

5. Environmental Protection

Thanks to machine learning, modern robots and machines can access and store more data than ever. This is how Big Data was born. Thanks to Big Data and AI, it is now possible to use data to recognize patterns and trends and develop solutions to the world’s most critical problems.

One of those problems is environmental protection. The data that machine learning systems collect will give us the best solutions to mitigating environmental impact.

6. Personalized Digital Media

Machine learning has already found its way into streaming services such as Google Play, Spotify, Amazon Prime, and Netflix, but this is just the tip of the iceberg. Its massive potential is one of the main jumping points for the entire entertainment industry.

Since the whole world is looking for the most personalized experience, deep machine learning will significantly contribute to creating more customized media, such as news, according to the consumer’s taste. We have already witnessed natural language processing algorithms helping news and media houses write the most trending stories.

The newest solutions for direct access to live data from global online news sites, such as the WebHose news API, are already using machine learning models for positive and negative sentiment queries to extract the most relevant data via APIs and provide the most relevant information where it’s needed the most.

This data can be used for financial analysis, building better AI and machine learning models, market research, media & web monitoring, etc.


These are just some examples of what modern and most advanced AI technology can do for the world. That aside, we’re going to witness multiple banking and economy innovations, digital empathy, robotics, elder care, health care, home security, distribution and logistics, digital personal assistants, market reports, and so much more.

Although AI is nothing new today, it is continually evolving and changing, providing the latest solutions to the most challenging problems the world is facing. There is so much the world can achieve with intelligent learning machines.

Applied machine learning is probably one of the most promising aspects of AI. Instead of trying to program machines with everything they need to know, we can simply teach them to learn independently.