For centuries, humans have relied on machines to make tasks easier and improve standards of living.

Machines help keep people safe, make hard labor easier, and serve as a great benefit to the economy. From the farm equipment that produced mass quantities of food to the modern mobile devices that provide instant communication capabilities, mechanical and electronic devices have changed humanity forever.

The next step for producing better machines is to teach them to do something that humans must do constantly – learn. The ability to make decisions based off data could take machines to the next level in terms of their capabilities and their usefulness in various applications.

Machine learning has grown beyond the rudimentary phases and is now being implemented in various trials and tests around the world. What industries will benefit the most from this tech? While the technology will likely eventually impact all industries in some capacity, a few are already taking advantage.

IT and Security Companies Will Become Craftier

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As the digital revolution brought new opportunities for communicating and doing business, it also attracted criminals who wish to game the system. Cyber criminals present a constant and growing threat, keeping even the biggest security companies pushed to their limits.

Security software has been around for decades, providing protection against the most common threats on various systems. Whether its industry-specific business software or the operating systems used on most personal devices, security is vital.

Some advancements have already been made in the area of security. Regular updates were a revolutionary measure at the time, but have proven effective at counteracting the constant efforts of data thieves.

The next step in the process involves learning how these breaches happen. Sometimes millions of pieces of data can be compromised with a simple exploit in a standard application. This was what happened to Equifax, and the fallout has left the company reeling.

With smart systems could receive information about previous attacks and instantly scan for any similar vulnerabilities in a system. This may allow them to anticipate future attacks, and could perform a number of responses including freezing accounts, patching security holes, or any other solutions within the scope of the algorithm’s capabilities.

This tech can certainly make things safer in the digital age, and the added security could even change the way transportation works.

Autonomous Vehicles That Can Sense and React

Vehicles already rely heavily on technology. From the computer chips in most modern cars to the logistics tools used by the freight industry, transportation has successfully changed with the times.

The newest change may serve as a catalyst for a long-rumored technology. Driverless vehicles have always been around in theory, as the idea of cruise control or remote drones shows that a human doesn’t always have to be in control of a vehicle for it to reach its destination safely.

While a machine could theoretically be programmed to pilot a vehicle, the roads require constant attention and adjustment. Previously, there was no way to program a vehicle to have the kind of attentiveness required in drivers. However, AI adds new possibilities that have already led to successful test runs of self-driving vehicles.

Using cameras and sensors to capture surroundings and detect obstacles, the self-driving kits in autonomous vehicles are programmed to make adjustments after factoring in this information. The calculations happen extremely quickly, allowing autonomous vehicles to be mindful of their surroundings just as a human driver would.

Some people find out about this tech from white papers released by tech companies, or a machine learning blog. Given that so many resources have developed on the budding topic, its effects on education are also showing promise.

Self-Organizing Curriculums and Lesson Plans

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Educational institutions of all types must be strategic with the material they teach. Covering all the necessary information on a given topic is challenging, especially within a single academic period. Sometimes educators become overloaded trying to create the appropriate curriculum.

Meeting the needs of each student is also tough. While students must adapt to educational programs, it also helps when the programs themselves are flexible. Improved AI means academic systems could put together useful information on topics, and rank courses based on their importance in a particular field.

The data could be organized based on the success of graduates who took certain programs, or the amount of information each course contributes to the program as a whole. Teachers may be able to alter lesson plans for individual students, and even discover new course combinations to update their entire curriculum.

The industries that rely most heavily on industrial machinery have a vested interest in keeping up on the latest developments with this technology. Going even further than machine learning blogs and online resources, these companies are implementing solutions into their everyday operations.

Industrial and Engineering Will Rely Heavily on Machine Learning 

Using machinery is sometimes less about knowing how to pilot it and more about knowing the best way to apply it to a given task. Sometimes this means making tough decisions, and planning ahead substantially to ensure a project stays on the right track.

For example, a building company may need to analyze an area of land for vulnerabilities before bringing machinery on to lay the foundations of a new structure. In the event unforeseen complications do arise, those handling the job must know the right course of action.

AI means that these devices can be programmed to perform this type of analysis and make the tough decisions. The results could be quicker completion times for big projects, and even fewer accidents as machines can work in areas not deemed safe for human workers.

The ability to improve machinery has always been beneficial in industrial applications. Building companies, utility providers, and engineering firms can all reap the benefits of this new technology.

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