Future of Scientific Research Lies in Hands of AI and Cloud Computing
The hype created by AI is hard to ignore as in most of cases it proves to be right. Voluminous datasets and a great amount of computing are the apt blending for deep learning underpinned with algorithms that have mastered the innovations of today.
As it stands now, with access to such huge datasets, breakthroughs supporting image and speech recognition and machine translations benefit a big portion of the population.
Amidst this, not to forget the services of cloud which is also growing at a fast pace. People are submitting a considerable amount of data on virtual drives enabling ease at sharing and create a backup of information. The transfer of information onto virtual drives facilitates us with new opportunities in both office and personal space.
But is there any significance of ML and Cloud Computing together, specifically in scientific research? Do they have the capability to help researchers manage and operate the voluminous datasets generated by extremely sophisticated detectors and experiments?
Datasets that used to stream at megabits per second are now hundreds of times faster at scientific facilities. Sometimes they are even faster due to upgradation of detectors come online and new instruments are installed. Well, undoubtedly, this gives rise to a lot of data that needs to be analyzed and verified.
Subsequently, scientific discoveries are accelerating as a multidisciplinary endeavor which is clearly transforming the way scientists work together. The combination of AI and cloud computing can help researchers discover fast and get answers that they are looking for 1000 times faster than by depending upon in-house hardware.
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