The term Artificial Intelligence (AI) is used in computer science to define the ability of machines to exhibit intelligence like human beings. John McCarthy in 2004 defined artificial intelligence as “The science and engineering of making intelligent machines, especially intelligent computer programs.” The term “intelligent machines” or “intelligent computer programs” here means that machines or computer programs can be trained to perform the activities performed by humans.
In this article, we will look at the current status of artificial intelligence. We will also observe some current artificial intelligence trends and will discuss some of the recent advancements in artificial intelligence which are bound to change the world. To gain a deep insight into artificial intelligence and machine learning, you can also visit websites like InsideAIML which provide high-quality content with certifications.
What Is The Current Status Of Artificial Intelligence?
Artificial Intelligence has come a long way from solving Enigma in the 1940s to writing computer programs in 2021. In 2020, two events created a milestone in the race towards achieving true artificial intelligence. The first event was the GPT-3 being introduced by OpenAI. The second event was the introduction of AlphaFold 2 by DeepMind. We will look at both these technologies one by one and will analyze how they can alter the current status of artificial intelligence.
GPT-3
GPT was introduced to perform language processing tasks. It paired unsupervised pre-training and supervised learning to accomplish the state-of-the-art results. GPT was developed by training a transformer model on a large dataset using unsupervised learning, and then it was fine-tuned on smaller supervised datasets to solve specific tasks like sentiment analysis and question answering. GPT played a significant role in shaping the current artificial intelligence trends.
Following the AI trends, GPT-2 was developed fed with 10x data compared to GPT. It was introduced as a text generator to predict the next word given, all of the previous words be present within the training data.
GPT-3 was introduced in 2020, and it provided a breakthrough in eliminating the need for task-specific fine-tuning. It can write code in any language without even being trained for different languages. This incident completely altered the current status of artificial intelligence and gives a new dimension to the current artificial intelligence trends. GPT-3 can write code, poetry, news articles, or any specific text just by taking an example as input.
Researchers are using GPT-3 to generate codes in different programming languages with zero-shot learning. It will pave the way for no-code programming tools for creating websites and other applications. The second change in artificial intelligence trends will be the adoption of AutoML, which helps in shortening the time to bring artificial intelligence to production.
AlphaFold 2
Google’s subsidiary Deepmind introduced AlphaFold 2, which is considered a pathbreaking event in medical sciences. AlphaFold 2 can derive and detect 3-D structures of amino acids. This will lead to an increased understanding of how we understand diseases. As a result, scientists can now model proteins on a molecular level, compare medical images and find patterns in the molecular structures to determine diseases and their solutions. Thus, it will advance our understanding of diseases and create new research trends in medical sciences with the help of artificial intelligence tools like AlphaFold2.
GPT-3 and AlphaFold 2 have completely changed the current status of artificial intelligence and have changed the way we look at it.
Now we will look at some of the artificial intelligence trends impacting the world in different ways.
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What Artificial Intelligence Trends We Are Going To Witness In The Future?
Riding on the successes, artificial intelligence will continue to play a key role in technological innovations in the near future. With the development of high-performance processors and GPUs, the formulation of efficient algorithms, and the huge amount of data available for training those devices, artificial intelligence can completely transform the digital world. Following is an overview of what artificial intelligence trends we can expect in the future.
Natural language Processing
Natural Language processing is one of the most sought use cases of artificial intelligence. Chatbots like Amazon Alexa, Siri, and Ok Google have introduced natural language processing to users with zero knowledge of artificial intelligence. The ability of humans to interact with machines in the human-understandable language is making natural language processing a leading area of innovation in artificial intelligence.
Conversational Artificial Intelligence
When we talk about artificial intelligence trends, No one can ignore robots like Sophia which is able to talk to humans in English. Conversational AI uses natural language processing and machine learning to facilitate interaction between humans and machines. AI-powered chatbots and robots are being used for the automation of customer service. With advancements in NLP and machine learning, conversational AI will also gain importance in upcoming years.
Marketing Technologies
The main goal of marketing in any industry is to collect, organize and visualize information to generate insights about the market and consumers so that the policymakers can design campaign strategies to gain consumers in the market. Due to the adoption of digital technologies, a huge amount of consumer data is generated each second. The companies which are using and analyzing data more efficiently are leading the markets.
With advancements in technology, various tools based on artificial intelligence have been developed to assist marketing campaigns. Digital Marketing, recommender systems, and chatbots have become basic tools for websites selling products and services. The recent artificial intelligence trends have shown that companies are also using reinforcement learning to optimize their advertising campaigns and planning business strategies.
Generative Adversarial Networks
Generative adversarial networks were developed in 2014, and It has gained popularity in recent years. With generative adversarial networks, we can create visuals and images which have never been seen before.
GANs are at the forefront of artificial intelligence trends if we talk about deep learning technologies. It has the potential to revolutionalize how machines process images.
Internet of Things
In recent years, the boundary between artificial intelligence and IoT has continuously been blurred. With the confluence of artificial intelligence and IoT, devices like Amazon Alexa and Siri have been developed to control other devices apart from following instructions. These devices are going to be more efficient in the near future, which makes IoT one of the main areas when we talk about artificial intelligence trends.
Cybersecurity
With a lot of user data being generated and collected, it becomes the responsibility of the companies to keep the data confidential. In recent years, Many incidents of stealing sensitive customer information have been reported in even the biggest companies like Facebook and Twitter. It is obvious that these types of hacking attempts will intensify in the near future. Using Artificial Intelligence, suspicious patterns in data or abnormal behavior of users are being detected. The vulnerability of user data due to the increased use of technology and the ability of artificial intelligence to reduce the vulnerability makes cybersecurity a leader in artificial intelligence trends. Visit sapphire.net if you need any guidance on cybersecurity services in the UK.
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AI in Healthcare
As we have discussed above, AlphaFold 2 can create 3D models of amino acids. This capability of artificial intelligence systems is being used in disease detection and finding new cures for them. Radio Imaging, X-rays, and MRIs are already being used to identify diseases. From recent trends, it is evident that artificial intelligence is going to play an essential role in healthcare.
Conclusion
Artificial Intelligence is one of the most sought-after areas in technology. The recent trends in artificial intelligence have shown that it is going to impact how data and information are processed in a significant way. As a result, having a good understanding of these cutting-edge technologies has become necessary for engineers working in the software industry. Platforms like InsideAIML provide interactive courses with certifications and placement offers to learn these technologies from basics to advanced.