Hey Alexa, “What are the top Artificial Intelligence trends this year?
If you ask Alexa or Siri, you will probably hear that the most trending topics are Language modeling, Conversational AI, Computer Vision in Business, and the list.
But have you noticed that your assistant is also an example of Language Modeling and Conversational AI? Yes! You are using this advanced technology in your daily life every day without even being aware of it.
With the speed at which AI is disrupting industries and even our daily lives, it’s no wonder that experts are calling AI the future of technology.
Let’s find out more about current AI trends and how they are affecting the world.
Artificial Intelligence is changing the shape of the technology field. It’s now available in various sectors like transportation, manufacturing, health, and finance to automate all the possible systems to increase efficiency and performance.
For instance, you can use mobile phones to diagnose diseases. The architecture provides a high-performance system with accuracy and efficiency.
Another great example of AI is transportation. A system like Google Maps can analyze the traffic movement speed with accuracy. This program provides records at any time and on-the-spot road incidents. The analysis result includes construction work, heavy traffic, and even accidents.
In the manufacturing industry, system maintenance with predictive and preventive mechanisms helps the management teams to avoid downtime. Also, AI systems in quality control help increase work production.
The finance sector also leverages ML capability for fraud detection. AI and ML also play a vital role in the smart payment process, insurance, and investment recommendation.
PrepAI is another example where AI is getting used in the education sector. PrepAI was originally developed and maintained by the DataToBiz company, which also uses the AI model for different AI services. On this platform, people like teachers or instructors can use the AI model to create various types of exam test papers.
From smartphones to chatbots, we are already using AI in our daily life. AI is evolving day by day. It observes our routine including our likes or dislikes and our purchases. Then AI specialists, or we can say AI developers, research all that data to train machines on how to learn from it and predict what we want.
Following are some predictions done by the USC researchers based on their analysis.
The research analysis suggests that AI programs with computer vision will allow doctors and well-equipped hospitals to analyze data. Based on that analysis, doctors can customize health care according to individual patient’s genes.
AI will be able to diagnose major diseases like brain tumors and will suggest which cancer treatment will be suitable before it worsens. Several types of research are underway to develop AI-powered applications. Those applications are aimed to help doctors diagnose and treat patients with better medical care.
You can expect a different future in healthcare as it will adopt robots to interact with the patient. They will check the patient’s health condition and assess the need for a doctor’s appointment. AI will make our life simple with our clinical and healthcare history.
According to research, the adoption of ai-powered business intelligence in the decision-making process will make a huge impact on business growth and performance. In the future, AI-powered drones will deliver packages up to 5 pounds in less than 30 minutes.
Amazon has already started working on this project with proper safety and reliability measurements for package delivery. There is no fixed date for this delivery to get on the road, but you can expect the autonomous delivery of goods with drones in the next decade.
Apart from autonomous delivery, future retail with AI will get individualized with virtual racks. The racks will get customized according to previous history and purchases made by customer choice.
In the future, users will be able to order a movie that will be completely customized according to their desire. Even working independently, AI will assist humans in their own creative patterns like helping writers to avoid writer’s block by providing suggestions.
Furthermore, in the present era, Artificial intelligence is still in action in the form of Google Assistant, Siri, and Cortana. They are able to handle most home devices connected to the internet over voice commands.
The growth of AI in every possible application and its easy development dragged government interest toward it. Now the government is also taking a step ahead to invest in AI and its all related technologies.
According to Verified Market Research, the global market size of artificial intelligence was worth US$51.08 Billion back in 2020. It is projected to reach up to US$641.30 billion by the year 2028 with growth at a CAGR (Compound Annual Growth Rate) of 36.1% from 2021 to 2028.
Apart from that, many sectors like aerospace, healthcare, and manufacturing are adopting AI. Thanks to its in-depth learning and Artificial Neural Network (ANN) mechanism. Also, the capability of big data interpretation and analysis boosted the demand for AI industry solutions.
The advanced AI development companies in cloud computing infrastructure and improved dynamic AI solutions have made the potential growth of the AI market. AI is getting used mostly to automate dangerous tasks in the manufacturing industry. Modern AI companies need people with certain skills to adopt, manage, and train AI systems.
Earlier this year, Silicon Valley-based research lab OpenAI unveiled DALL-E, which surprised the internet.
In terms of artificial intelligence, this tool is getting considered one of the most advanced systems on the market for creating images. The system works as you can create hyperrealistic photographs or artwork by typing a description.
DALL-E is currently unavailable to the public. Researchers, academics, journalists, and artist testers are the only ones who can access to use this system.
The company has recently announced that it will invite more people to the event. As it moves from research to beta, the company plans to accept 1 million people from its waiting list.
Imagen is a new text-to-image AI from Google Research. This system creates photorealistic images based on the input text.
Using text input, Google has demonstrated an artificial intelligence system that can generate images. Using AI, users can enter any descriptive text and have it turned into an image. Developed by the Google Brain Team, the Imagen diffusion model delivers “unprecedented levels of photorealistic precision and language understanding.”
The Imagen is currently not available publicly, but Google has shared several examples of how this AI system works. In order to evaluate the performance of the text-to-image model, Google created a benchmark named DrawBench that is comprehensive and challenging. With this DrawBench, Imagen can get compared to VQ-GAN+CLIP, DALL-E 2, and Latent Diffusion Models. According to DrawBench, humans prefer Imagen compared to its rivals.
Conversational AI is a trending technology that enables speech-based interaction between users and platforms. It is used for better engagement. It requires software such as speech recognition, speech synthesis, NLP (natural language processing), and ML.
Back in 2021, research from ReportLinker concluded that the conversational AI market size will grow from US$6.8 billion to US$18.4 billion by the year 2026.
This technology is mainly getting used in AI-based customer support service, continuous customer engagement, and chatbots.
The World Economic Forum recently declared cybercrime as a potential risk to global wealth and requested all countries to oppose it.
As cyberattacks are growing, AI is helping cybersecurity operation analysts to face them and stay ahead of threats. AI technologies like Threat Intelligence, ML, and NLP are learning continuously from millions of research papers and blogs to provide a rapid solution to cut down the attack.
As our life is incomplete without machines, we are becoming vulnerable to cybercrimes. The main reason behind this is that our devices are connected to the internet and giving an opportunity for the attacker to exploit its loopholes. To prevent this, AI can play a vital role in tracking suspicious activity by network traffic pattern analysis.
AI analytics, with the help of ML algorithms, keeps monitoring and analyzing a large amount of data to automate the work normally done by the data analyst. In other words, analytics is a process of taking raw data as input and applying some data analysis methods to result in meaningful data patterns.
It is a subset of Business Intelligence that uses ML techniques to find new data patterns and relations between them. The goal behind this is not to replace human data analysts but to improve speed, performance, and productivity.
Augmented analytics is another form of analytics that could be the future of analytics. It uses AI and ML to monitor and discover data patterns without any help from data scientists. Sectors such as forecasting demand, predictive maintenance, and business monitoring are the businesses that leverage AI analytics the most.
Computer vision is the most in-demand feature among businesses. According to a survey by Gartner, one-third of the technology service provider computer vision companies with AI technology are planning to invest $1 million or more in AI-based technology in the next two years.
The same survey concluded that an average of US$679000 will get invested in the computer vision industry. AI in the computer vision field deals with the machine to understand images and videos.
These AI algorithms with computer vision work similarly to human imagery. and are generally trained to track, observe and understand the object and learn patterns to identify and classify different objects using complex data sets.
Natural Language Processing (NLP) is the heart of the text generation method. It allows the computer to understand the meaning of human spoken text or speech. AI assistants like Google Assistant, Siri, Alexa, and Microsoft’s Cortana are the best examples of NLP.
Tech AI companies like Google and Microsoft use the NLP-based BERT model for their search engine to work smoothly. This model helps technologies like AI assistants to understand what people are saying and respond accordingly.
The advanced feature of NLP like OpenAI’s Generative Pretrained Transformer, or GPT-3, is a machine learning model powered by neural networks that generate any text from internet data. The system produces large volumes of relevant and sophisticated machine-generated text with a small amount of input text.
It can create significant amounts of quality data with only a small amount of input text. The GPT-3 can get used to create articles, stories, news reports, poetry, and dialogue.
The NLP program automates the translation process between human-understandable language and computer language. To perform this operation, it manipulates unstructured data or words in the form of conversion and processes it.
Today AI content creation platforms offer writing system-generated content like blog posts and marketing email copy. The process includes the human giving AI a prompt like keywords and a short description of their content needs. The machine then generates multiple pieces of content in a few seconds.
As a result, you will have many pieces of content in no time compared to human writers. There are multiple AI content generation tools available, and most are free to use. These tools are capable of writing all sorts of content.
No-code AI platforms are taking place in this growing industry. It allows small companies to use various powerful technological tools only available to large enterprises.
Developing AI-based models from scratch requires time and knowledge in that area. That’s where no-code platforms come into the limelight. This platform simplifies the hard tasks by reducing the entry barrier.
Google Cloud auto ML, Google ML Kit, CreateML, MakeML, and SuperAnnotate are the most demanding no-code AI platforms you can take leverage with according to your need.
Finally, the trends mentioned here show that the future of AI is promising. As AI solutions are widely getting accepted in every sector, they are now becoming commonplace. Tesla’s autonomous cars use robots for production and sensors for predictive and preventive analysis in the manufacturing industry.
These are all AI-powered solutions that are now making a huge impact on our daily lives with AI assistants and chatbots.
They have the experience and agility to understand what’s possible and deliver to our expectations.
