Machine Learning and the Role of Google Helping in Technology Advancements

Machine Learning in simple terms, is an application of Artificial Intelligence(AI) which provides machines with the ability to learn and improve from past experiences. Machine learning mainly focuses on observing data and learning from it. 

The process begins with past results and instructions to look for patterns in data with the objective to make better decisions in the near future.

Google is reportedly increasing its resources on Machine Learning and Artificial Intelligence. Google CEO Sundar Pichai once said AI is the most important invention in history.

Applications of Machine Learning in Software:

Google Apps(Android/IOS): Take Google photos for example which is a simple photo gallery application. But in recent years Google has managed to implement machine learning algorithm successfully. The concept of face recognition which runs behind the application does the job of recognising faces from different pictures and tagging them with the concerned person’s name. Another brilliant example is Google Maps where machine learning in these scenarios helps predict the congestion in a particular region which is recorded on a daily basis. Many Online Transportation Networks like Uber, Ola and shuttle use these concepts to take detours to minimise the time arrival. 

Google Emailing solution: Every user and enterprises especially, receive a huge number of emails which are filled with malware. This kind of emails usually goes to the junk folder by default. The malware is detected every now and then and they are very similar to one another. The security programs which are powered by machine learning understand the pattern, detect the incoming malware and offer protection against them.

Google Search Engine: Google uses machine learning every time you search for something and it improves the results accordingly. When you execute a search algorithm, at the backend how you responded to the results gets recorded. For instance, if you open the top result every time, the search engine assumes that the results it displayed were in accordance with the previous records(Query).

Virtual Personal Assistants: Siri, Alexa and Google Virtual Assistant are almost everywhere these days. Machine Learning is a big part of these assistants as they collect and refine according to previous search results. The virtual assistants are also implemented within the OS and messaging apps.

Application of Machine Learning in Hardware : 

Camera: Nowadays every phone industry is implementing “AI-Powered Camera”. The trend was actually started by Google by implementing this concept in its own hardware product Google Pixel. The speciality of this smartphone is its camera where it uses a single lens to capture an image and process into a portrait mode which is very similar to a DSLR image where it uses lots of sensors. Google camera uses the ML technique to blur the background of the subject. The algorithm helps detect the subject, depth of field, colour reproduction and many more. However, later that year Apple, Honor and many other leading Tech Companies started implementing this very concept in their own cameras. 

CPUs and GPUs: Chips are an integral part of the system because they are the brain of the computer. When Machine learning is implemented the specific chip has been given the role of executing logic in a given algorithm. It has been concluded from many experiments that ML implemented chips are performing far better than traditional chips.

In conclusion, we now know that machine learning is a technique of training machines to perform better and faster than before. The betterment of machine learning depends upon the data it observes. For example, the more you interact with a virtual assistant, the more it becomes friendly with the user. When comes to the development of machine learning and AI anyone can develop their own algorithm in any IDE, platform and any programming language.  The combined approach of Machine learning and Artificial intelligence can actually solve real-world problems, disasters, accidents and so on.