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Latest Developments of Artificial Intelligence: 10 AI Trends to Follow

22 July 2022
Latest AI advancements

Artificial intelligence is one of the most impressive tech advancements of our times. The latest development of artificial intelligence has seen it applied across dozens of industries and sectors. From manufacturing and robotics to pharmaceuticals, supply chain management, and everyday AI software automation, it’s happening everywhere.

Artificial intelligence history and latest developments are rapidly streamlining the world of business with its automation and smart decision-making capabilities. Since its release, AI developments have been making waves across the globe. In 2021, its applications are only expected to become more plentiful.

Exploring Recent Developments in Artificial Intelligence

Here are some of the latest artificial intelligence developments that you should know about.

#1: Artificial Intelligence Trends in Robotics

Many robotics startups are now embracing AI to develop and automate new AI systems. Firms like Olis Robotics have been driving innovation through the use of plug-and-play controls fitted with AI-powered software.

Olis Robotics CEO Don Pickering has noted that his firm’s proprietary controllers and software allow it to operate tethered robots on ocean floors. Plus, they can use robotics to service satellites using high-latency satellite links, and to clean up hazardous chemical spills using robotics that rely on 4G and 5G networks.

These innovations are quickly expanding the role of robotics and making remarkable impacts in humanity’s collective advancement.

Rpbotics trends

Source: Unsplash

Artificial intelligence history and latest developments are pioneering the progression of robotic natural language processing.

The release of Google’s BERT model has sped up the widespread AI adoption of advanced NLP. With this NLP, language is identified and understood in a much more complex and machine-computable manner. Google’s model is open source and easily accessible for public use.

#2: Machine Learning for Nature Conservation

Oxford University has used artificial intelligence’s latest developments to develop new software that can recognize and trace the faces of endangered species like chimpanzees individually in their natural habitats.

The software is assisting conservationists and researchers to maximize the impacts of their efforts. While at the same time, minimizing the time and resources needed to observe and track at-risk species.

Oxford DPhil student Dan Schofield and his peers have trained the machine learning model using over 10 million images of wild chimpanzees. They obtained the images from Kyoto University’s Primate Research Institute’s video footage of wild chimps in West Africa.

The team aims to use the artificial intelligence trends software to positively impact conservation efforts for these endangered primates, and potentially, other species too.

Nature conservation

Source: Unsplash

#3: AI Advancements in Healthcare

The latest development of artificial intelligence in the healthcare world is enabling improvements in accurate diagnoses, clinical decision-making, and optimal patient care.

AI research is driving the widespread adoption of telemedicine at healthcare institutions. It’s incorporated into wearable devices that offer real-time patient data and apps with useful features like screen sharing, video chat, and texting. Patients can even use these apps to book medical appointments and follow-ups and to request prescriptions.

There are several challenges in diagnostic AI that are steadily being overcome. For example, it has long been challenging for AI to learn to correctly interpret diagnostic results under human supervision.

Healthcare imaging

Source: Unsplash

It’s difficult for machines to identify rare diseases due to image shortages. Recent developments in AI have allowed for the augmentation of AI training by computer-generated X-rays to create a larger database. Through this database, neural networks are trained to identify rare conditions.

Recent developments in artificial intelligence have proven instrumental in the production of COVID-19 vaccines.

Experts at the Brookings Institution have revealed that artificial intelligence AI algorithms can identify viral components. One example is the SYGFQPTNGVGYQPY that has the correct properties to stimulate patient immune systems. This is enabling the development of more effective vaccines with minimal side effect profiles. This improves patients’ willingness to get vaccinated.

#4: AI Developments in the Automobile Sector

Self-driving cars are being widely hailed as the latest development in artificial intelligence and the future of transportation. Autonomous vehicles powered by AI are gaining rapid popularity. According to PwX, it’s expected that autonomous vehicles will cover 40% of mileage driven in Europe by 2030.

Cars will connect to one another and transport infrastructure networks via AI in the future. This means that vehicle occupants will connect with the outside world through the use of augmented reality, allowing them to use multi-media services during their journeys.

According to Analytics Insight, industry analysts estimated that there were over 250 million vehicles already connected to the internet in 2020. These vehicles come equipped with Internet of Things-paired sensors, geo-analytical capabilities, and connectivity platforms for Big Data. This signals the dawn of a transition towards a more unified vehicle operational platform.

The US Department of Transportation is confident that self-driving vehicles will replace eCommerce and business road freight. Presently, road freight is one of the largest carbon emission producers in existence. This will optimize future vehicles’ fuel consumption and improve time and energy management and road safety alike.

These artificial intelligence trends will work towards mitigating the climbing CO2 levels. These levels are fueling climate change and the potentially catastrophic destabilization of the world’s natural ecosystems. The global transportation industry currently accounts for 15% to 20% of the world’s total carbon emissions.

#5: Computer Vision and Video Analysis Tech Artificial Intelligence Trends

Recent AI developments in deep learning have made it more cost-effective and accessible than ever to deploy video and image analysis tools. These computer vision tools have important applications in the manufacturing and medical sectors.

In radiology, AI tools are being used to improve the efficacy of diagnostic procedures. This affords physicians the opportunity to offer faster and more accurate diagnoses.

Video analysis

Source: Unsplash

Accessible computer vision AI technology is being used in manufacturing to fuel the ‘Industry 4.0’. It’s revolutionizing the automating of safety management, supply chain management, and quality control procedures. Professionals in all industries would do well to monitor future computer vision trends.

#6: AI Advancing Towards High-Level Human Functions

Using tools to achieve certain objectives and goals is long considered only human behavior. With the exception of a few other animal species, such as chimpanzees and corvids.

Recently, new AI agents developed by OpenAI were able to learn to use tools in an experiment based on multi-agent competition, without being deliberately taught to do so. This signifies a remarkable step forward in the development of valuable and autonomous artificial intelligence trends.

Companies like Nvidia have been able to show robots that perform tasks in the real world by learning from the actions of humans. The robots can watch how tasks get done and then re-enact these actions—a vast advancement from how robots usually behave.

Here are some more new artificial intelligence developments. Another bot program called AlphaGo has taught itself advanced strategies for playing the game ‘Go’, requiring no human training. With time, it’s expected that developments in artificial intelligence may create robots that can operate somewhat independently from humans and human knowledge.

#7: The Development of Robotic Assistants

Would you be comfortable with a robotic nurse caring for you if you fell ill? How would you feel about a robot caregiver taking care of your elderly parents or relatives? Or a robotic retail assistant helping you pick out an extra pair of jeans?

Many countries worldwide are experiencing crises in finding enough carers to take care of their aging populations. This will become an increasingly pressing issue as the Baby Boomer generation reaches their senior years.

Recent AI developments could bridge this gap. The government of Japan is currently working on promoting the acceptance of technology that would fill in for human caregivers and nurses.

Japanese developers are working to create robots that can assist people to get out of bed, predict when they may need to use a restroom, or maintain their medication schedules.

The researchers’ future priorities include the development of wearable mobility aids and technology that can guide people to restrooms and to bed when new AI predicts that it’s the correct time to do so.

#8: Artificial Intelligence and Cybersecurity

Cybersecurity is becoming an increasingly hot topic as businesses, remote employees, and major brands all move their operations online. The rapid evolution of technology coupled with recent developments in AI has accompanied developing threats to sensitive data and networks.

Many companies have developed intuitive AI solutions to provide more comprehensive cybersecurity. This cybersecurity improves incident detection and response, identifies and communicates risks, and maintains optimal situational control.

Cyber security with AI

Source: Unsplash

Some of the most recent advancements in this field include the release of Magnifier, a behavioral analytics solution from Palo Alto Networks. The latest AI developments solution models network behavior by using machine learning to enhance threat detection.

Alphabet, the parent company of Google, has introduced the cybersecurity intelligence platform Chronicle to streamline and improve cybersecurity measures as we know them.

#9: AI Applications in Fintech

Fintech has become a rapidly developing industry over the past few years. Traditional financial enterprises are being forced to keep up with technological advancements as new, AI-driven apps emerge and disrupt the sector.

Artificial intelligence can decimate financial institutions’ operational processing times. General intelligence technology can eliminate the need for human operators to perform manual processes and speed up the processing of deposits, payments, transactions, and approvals.

Machine learning has proven useful in fraud detection efforts. It can rapidly and accurately identify corporate policy violations and duplicate expenses.

Many financial institutions and retail and eCommerce businesses have adopted chatbots to streamline their customer service efforts. Banking apps across the globe now offer new AI chatbot support. Other apps can connect financial accounts to Facebook Messenger, enabling users to ask questions and make cancelations via the popular messaging platform.

Fintech is a prime candidate for AI cybersecurity. Artificial intelligence is hugely scalable, and can rapidly analyze and process vast amounts of data to secure digital systems and protect customers’ financial investments and assets.

In the next few years, the demand for qualified data scientists who can work with AI in the Fintech sector will skyrocket as disruptive technology takes hold.

#10: More Intelligent Smartphone Apps

AI-based custom software appears in a widening range of smartphone and tablet apps designed for everyday users. A Garner report predicts that by 2022, around 80% of smartphones will come equipped with built-in AI capabilities. We compare this to the 10% of devices that offer these capabilities now.

Currently available apps that use the power of AI to deliver their services include Google Assistant, Microsoft Pix, and Socratic. Google Assistant allows users to check appointments, search the web, play music, and send messages hands-free. Socratic is an AI-based tutoring app that explains how to solve mathematical problems by analyzing images of equations.

Microsoft Pix, another popular machine learning tool, uses recent AI developments to select the best three shots out of ten frames captured. The app then automatically deletes the other shots to optimize users’ photographing skills and save space in their smartphone storage.


Artificial intelligence is rapidly creating exciting new opportunities across a wide variety of industries and sectors. It’s already disrupting many of these industries and is expected to shake up many more in the years to come.

Public and private companies alike are quickly coming to realize that, given the correct guidance and structure, artificial intelligence recent developments can produce massive and positive changes in virtually every aspect of human life.

Only time will tell what the future has in store for machine learning and the many bright minds behind implementing artificial intelligence.

Author Bio

Kristie Wright is an experienced freelance writer who covers topics on logistics, finance, and management, mostly catering to small businesses and sole proprietors. When she’s not typing away at her keyboard, Kristie enjoys roasting her own coffee and is an avid tabletop gamer.

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