Current and Future Trends of Artificial Intelligence

Current and Future Trends of Artificial Intelligence


In the year 2020, the world witnessed two major achievements in the pursuit of artificial intelligence. OpenAI launched the GPT-3, and DeepMind from Google introduced AlphaFold2. Both of these companies are racing to create, advance, and research the role of AI in the community today. Several others are making big advancements in AI; however, GPT-3 and AlphaFold 2 were two of the most notable achievements in 2020.

Conversation between humans and computers 

Thanks to the advent of GPT-3, the interaction between humans and computers has progressed. Today, we can talk to computers about specialized topics. In the case of AlphaFold2, last year was engulfed by the coronavirus pandemic, and hundreds of leading names in the pharmaceutical industry were on a single goal to get a vaccine. AlphaFold2 is precisely what scientists need to get closer to their goals of understanding diseases faster, especially on molecular levels, to save more lives in the future. 

GPT-3 and language processing with artificial intelligence 

With the help of GPT-3, scientists could render training to an AI model for interacting with humans and reading and writing different texts. This was surely an astounding development byOpenAI, and the GPT-3 known as the Generative Pre-Trained Transformer was a revolution indeed. For several years, human beings have been fascinated with the thought of interacting with humanoid robots in their languages, and it is artificial intelligence that is a critical milestone that has been achieved today. The GPT-3 can process texts in various languages and is touted to be better than GPT-2. This is because it has about 175 billion parameters (these are the values that neural networks attempt to maximize during training) if you compare it to GPT-2’s now very small 1.5 billion. 

AlphaFold 2 Breaks a 50-Year-Old Challenge 

Scientists belonging to Google’s DeepMind were able to make AlphaFold 2 that has been touted to be one of the biggest breakthroughs in biology and medical science. This model can derive and detect 3D protein structures of the human body’s amino acids that can boost the rate at which humans can comprehend diseases and improve the rates of pharmaceutical manufacturing. Never before, especially in the last century, has this been more crucial for medicine. 

Artificial intelligence is ideal for helping the global medical industry, especially when it comes to modeling proteins on molecular levels, compares medical images, or find patterns or anomalies faster than humans. It also helps in countless other opportunities to progress in the field of clinical processes and drug discoveries. For example, scientists spend days, months, and even years making attempts to comprehend the DNA of new diseases. However, they can save time now with some assistance from artificial intelligence. It is here that breakthroughs like AlphaFold 2 should continue for humans to understand a lot of things still unknown to them in the future. 

Two key AI Trends to watch out for in 2021 

Experts from the esteemed name in database administration and management, RemoteDBA.com, state the following are two of the key AI trends that you should look out for in 2021-

  1. AI will be voice and language-driven – 2020 witnessed economies coming to a complete halt as schools and businesses closed down due to the coronavirus Pandemic. Businesses had to suddenly cope with this change and embrace a remote working structure in just a few days and weeks to deal with the rampant spread of the virus. This has given birth to the need for both voice and language-driven artificial intelligence to curb the volume of technology primarily touch-based in nature. 
  1. Cloud adoption and AI – Both AI and the cloud go hand in hand in the world of technology today. For instance, take the case of digital assistants like Google Home, Apple Siri, and Amazon Alexa. They have penetrated every arena of our lives today. You will find them in industries, communities, and homes. Tasks like ordering food online, asking a question, scheduling an appointment, communicating with another person over text, listening to music, etc., can be done with the help of these digital assistants that deploy both AI and cloud resources. 

For companies today, cloud computing has provided and continues to provide scaling operations efficiently and effectively. Computing resources can be duplicated with just a click of a button for scaling up and down as required. Faster memories and extra memory can be added faster along with large volumes of data like gigabytes, petabytes, and more. All of the above can be deployed in a single database by providing provision for additional memory. New software can be tested and deployed through the company effectively, along with lots more. 

Cloud services like Amazon Web Services, Google Cloud, IBM Cloud, and Microsoft Azure all provide ready-to-use and pre-trained machine learning, models for artificial models, deep learning, algorithms, and business services for using in their process for data analytics. This also gives small businesses the scope to access potent models that have received training on billions of data rows at just a fraction of the cost. In this way, one can start with cloud-based services till one gets an on-premise AI workstation, cluster, or server that is more affordable and under their complete control. 

You will find that 2021 will see the advent of several AI start-ups that use cloud-based services to develop their businesses. With artificial intelligence, they can focus on their finances better and invest in essential business factors. 

Last but not least, 2020 was when the world witnessed the worst Pandemic after the Spanish Flu. Radiologists and other medical professionals have been using AI for scanning MRIs and X-rays to detect diseases and other healthcare problems. With the advent of 2021, the healthcare industry will lean more on artificial intelligence as its rates for accuracy will continue to surge above what humans can rise. 

Efficient use of AI can help in many ways including heath and development sector. Users need to implement things in a way to ensure that everyone can enjoy the maximum benefits.