In 2020 we saw two big achievements in the race towards true artificial intelligence.
 
OpenAI introduced GPT-3, and Google’s DeepMind released AlphaFold 2. Both of these institutions are striving to better understand, produce, and enhance artificial intelligence’s position in our society. Many more AI breakthroughs were made in 2020, but GPT-3 and AlphaFold 2 were two of the most significant.
 
GPT-3, which allows us to speak with computers on more specific issues, has brought Human-Computer Interaction one step closer. In AlphaFold 2, the globe was enveloped in the COVID-19 epidemic in 2020, and hundreds of pharmaceutical behemoths were on a journey to discover a vaccine. AlphaFold 2 might be the key to helping scientists get there faster and better understand illnesses at a molecular level, perhaps saving lives in the future.
 

What AI Trends Will We See In 2021?

First of all, in this artical we’ll discuss about AI and Cloud Adoption
AI and the cloud go together in today’s technological ventures like peas and carrots. Apple Siri, Google Home, and Amazon Alexa have made their way into every part of our existence, from companies to communities to our homes. Ordering online, utilizing a household fixture/appliance, scheduling an appointment, listening to music, asking a question, and even talking with someone through text or phoning them directly may all be done using digital assistants built using artificial intelligence and cloud resources.
 
For businesses, cloud computing has offered, and continues to offer the ability to scale operations in an effective and efficient manner. Computing resources can be replicated with a click of a button to scale up or down as needed. Extra memory and faster processors can be added quickly; large amounts of data (i.e., gigabytes, petabytes and even higher) can be used in a single database by simply provisioning more memory; new software can be tested and used throughout an organization more efficiently; and so much more.
 
Cloud services such as IBM Cloud Computing, Amazon Web Services, Google Cloud, and Microsoft Azure all provide pre-trained and ready to use machine learning, deep learning and other artificial intelligence models, algorithms and services for businesses to use in their data analytics process. Small firms may now access sophisticated models that have been trained on millions, if not billions, of rows of data for a fraction of the cost. This manner, you may begin with a cloud-based service until an on-premises AI workstation, server, or cluster makes more economical sense and lets you to maintain complete control over your data. Even more AI companies are expected to leverage cloud-based services to get off the ground fast in 2021, allowing them to focus their financial capital on other important business considerations.
 
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