Changing Technologies, Artificial Intelligence

Technology, It is changing day by day. Technical revolutions are taking place in the Research & Development departments of businesses all over the world. Steered by data, machine learning, and algorithms, artificial intelligence (AI) is helping scientists to develop a better product which will be faster and more effective. Do you think is this possible? or why is it necessary


Inventions started from the beginning of the life of man on the Earth. When Thomas Edison and Einstein make a synaptic link between ideas that most people didn’t think, then it becomes a history. More than hundreds of years passed and still, new innovation are creating day by day. New technologies have been developed, and a technology has developed that uses advanced algorithms and machine learning to find inventive triggers in a vast array of sources of information, from new scientific papers to market trend research across a broad spectrum of industries. This technology allows us to review the data in real-time and make inventive connections. That’s why we are able to spot advancements in medical diagnostics and sensor technology and relate them to autonomous vehicles for example.


According to the European Patent Office (EPO), the typical patenting process is 3-4 years. When you consider that the typical research process from conception to the invention takes place over a similar amount of time, most companies are looking at a minimum of six years to bring products to market.


This is where machine learning makes a big difference. This technology reviews huge amounts of data and identifies new inventive signals at high speed, which means that developers can take an idea and turn it into a patentable invention in only a couple of weeks — significantly reducing the overall lead time and research costs of inventions.


Thinking back to Da Vinci or Edison, the only reason why we still remember their names today is that their inventions were groundbreaking at the time. Others may have been working on similar creations, but their names didn’t make history because of one simple fact. They weren’t first. Fast forward to today, being first is all businesses care about when it comes to taking new products to market. Yet, in the age of data explosion, this can only be achieved in one way – using artificial intelligence at the invention stage itself.