Artificial intelligence (more commonly known as AI) was officially born at a workshop organised by computer scientist John McCarthy in 1956 at the Dartmouth Summer Research Project on Artificial Intelligence. It was then that AI gained its name, its mission, its first success and its major players.
Over the years, artificial intelligence has rapidly evolved, becoming a transformative technology that is revolutionising various industries and redefining the way we live and work. No matter how little of an interest you’ve had in tech innovation so far, it’s pretty safe to assume that you’ve at least heard about more mainstream AI applications such as ChatGPT and Midjourney.
Despite the increasing implementation of AI within the tech industry as well as in all aspects of our life, from privacy concerns surrounding the Internet of Things (IoT) and Elon Musk’s constant reiteration of the potential risks to society and civilisation by human-competitive AI systems, one thing is clear: there are many alarming paths artificial intelligence could go down.
The other thing that’s become pretty obvious? Despite worries from some of the world’s leading tech experts, AI isn’t going anywhere anytime soon. That’s why, in this in-depth article, we’ll delve into all the latest AI trends that are driving the future of this (slightly scary but) exciting field. From breakthrough advancements to promising technologies on the horizon, we’ll explore the impact of AI across industries in order to discuss the challenges and opportunities that lie ahead.
What is the AI trend, and what’s all the fuss about, you might be wondering. Well, AI trends refer to the latest developments and advancements in new artificial intelligence technology. These trends are crucial for understanding the current landscape and predicting the future direction of artificial technology. By keeping up-to-date with AI trends, both businesses and individuals alike can improve their chances of harnessing the power of this technology to drive innovation and gain a competitive edge.
In recent years, AI has witnessed remarkable advancements that have pushed the boundaries of what is possible. One notable trend is the increasing integration of AI into various sectors. We’ve mentioned ChatGPT and Midjourney, both of which are what’s known as creative or generative AI, the simulation of creativity in machines. While the American artificial intelligence research laboratory OpenAI is mostly known and celebrated for ChatGPT, the large language model which can answer questions and perform instructions after it was trained on human conversations and countless internet content written by actual humans, the company also introduced the world to DALL-E.
In case you didn’t hear about DALL-E, it works the same way Midjourney does—the AI art and image generator can create art by following a written description fed to it by a human user. If you’re wondering what happens if someone doesn’t like whatever DALL-E generated, don’t worry, because it will make sure to offer users several versions of one single prompt.
AI image generators like DALL-E (which has since been optimised under the name DALL-E 2) can also create a new image from an existing one, whether that’s deleting some parts of it and replacing it with something else, or even out-painting it by adding more to an original image. These capabilities make artificial intelligence technologies DALL-E, Midjourney, Artbreeder, and Let’s Enhance handy tools for the branding and creative marketing sectors.
When it comes to customer service, AI-powered virtual assistants and chatbots are revolutionising the industry, providing personalised experiences and streamlining interactions. Denmark went as far as to introduce a new political party led by an AI chatbot, and don’t even get us started on South Korea’s use of AI deepfakes to win the hearts of its citizens.
Another breakthrough trend is the emergence of deep learning algorithms—a subset of machine learning algorithms inspired by the structure and function of the human brain’s neural networks—enabling machines to analyse vast amounts of data and make complex decisions with remarkable accuracy. In simpler terms, it’s allowing them to think like you and I would.
Moreover, AI has made significant strides in computer vision, natural language processing, and robotics. These advancements have paved the way for applications such as facial recognition, language translation, and autonomous vehicles.
Self-driving cars, for instance, are becoming a reality, promising safer transportation and reducing traffic congestion. Musk’s infamous multinational automotive and clean energy company Tesla is mostly known for its cars’ Autopilot features, and full self-driving (FSD) capabilities—through software updates designed to improve functionality over time. Although, it should be noted that currently, it’s obvious that the company’s FSD system still needs quite a bit of improvement, with the Massachusetts Institute of Technology (MIT) deeming it unsafe in 2021.
We’ve mentioned self-driving cars and facial recognition—two technological advancements that come with a myriad of controversies and complications. But it’s crucial that we also shed light on how AI’s impact extends across industries, in turn transforming operations, and unlocking new possibilities in a positive manner.
In healthcare, artificial intelligence is already revolutionising diagnostics, drug discovery, and personalised medicine. It can analyse medical images, detect patterns, and assist in early disease detection. For example, a deep learning tool called Audioflow performed almost as well as a specialist machine used in clinics and achieved similar results to urology doctors in assessing urinary flow.
From being used to diagnose early signs of dementia and helping paralysed people write with their minds to something as ridiculously funny as smart toilets protecting your health, AI is clearly set to be the future of healthcare.
In the retail and e-commerce sector, artificial intelligence is being used to provide hyper-personalised recommendations, optimise inventory management, and enhance the customer experience overall. Though it already feels ordinary to us that we, as customers, often have the option to chat with chatbots when shopping on a specific brand’s or company’s website, it’s important to note that the majority of these have now become AI-powered bots.
The banking and financial services industry benefits from AI through fraud detection systems, algorithmic trading, and risk assessment models. Logistics and transportation sectors are optimising routes and reducing costs with AI-powered predictive analytics.
When it comes to business processes in general, it’s important to realise just how much time-saving AI can lead to. By automating repetitive and manual tasks, analysing large and complex data sets, and providing intelligent insights and recommendations, the technology can alleviate someone’s workload and in turn, allow them to focus on more important things.
Even the entertainment industry will benefit from the rise of AI—in fact, that’s already the case! Not only can artificial intelligence allow movie companies to find the most engaging stories for their next movies by providing them with incredibly performant audience analysis tools, but it’s also being used to streamline processes like post-production, helping to save time while enabling producers to keep costs low. AI tools such as facial recognition technology allow for more accurate retouching of shots and automatic colour correction, eliminating the need for tedious manual work.
All in all, regardless of how scary some of its advancements can often be, AI can bring several benefits such as saving time and resources, improving accuracy and reliability, boosting innovation and creativity, increasing agility and adaptability, and enhancing customer loyalty and retention.
As AI continues to evolve, there are several promising technologies on the horizon. Examples of artificial intelligence advancements include the increased adoption of AI in edge computing, where artificial intelligence models are deployed directly on devices or at the edge of the network. This approach reduces latency, improves data privacy, and enables real-time decision-making. Some examples of edge use cases include self-driving cars, autonomous robots, smart equipment data and automated retail.
Another area of interest is explainable artificial intelligence (XAI), which focuses on developing AI systems that can provide transparent explanations for their decisions, in turn allowing human users to trust the results and output created by machine learning algorithms. As AI becomes more advanced, humans are challenged to comprehend and retrace how the algorithm came to a result. The whole calculation process is turned into what is commonly referred to as a “black box” that is impossible to interpret. These black box models are created directly from the data. And what’s scary about this is the fact that not even the engineers or data scientists who create the algorithm can fully understand or explain what exactly is happening inside them or how the AI algorithm arrived at a specific result.
That’s where explainability comes in to help developers ensure that the system is working as expected, and to allow those affected by an AI decision to challenge or change that outcome.
Furthermore, AI is poised to make significant strides in the field of healthcare robotics, enabling the development of robotic assistants for surgery, rehabilitation, and elderly care. This tiny robot can swim through a human body to deliver medicine exactly where it’s needed, for example. During the COVID-19 pandemic, researchers created Cobi, a versatile robotics platform that was outfitted with a needle-free injection technique in order to allow people with extreme fear of needles to receive their vaccines.
AI-powered robots are even being implemented in the lives of kids with autism in order to teach them social skills and help them develop.
Natural language processing and conversational AI are also evolving, with chatbots and voice assistants becoming more human-like in their interactions, offering personalised and context-aware experiences. Just look at this robot called Ameca smile at its reflection in a mirror and try to tell me it doesn’t look human-like.
The future holds immense potential for AI, with expected advancements and transformative impacts across industries. Artificial intelligence is predicted to revolutionise sectors such as agriculture, energy, education, and cybersecurity, among many others. By leveraging AI, farmers can optimise crop yields, conserve resources, and enhance sustainability. Just to give you an example, seeding drones allow farmers to sow their seeds quicker and more uniformly. Energy grids can benefit from AI algorithms to improve efficiency, manage demand, and integrate renewable sources effectively.
In the realm of education, AI-powered adaptive learning platforms can personalise education pathways, provide targeted feedback, and enhance student engagement. AI can also play a vital role in cybersecurity, helping to detect and prevent advanced cyber threats through intelligent threat analysis and anomaly detection. That being said, it should also be noted that AI already has and will continue to be used maliciously as more and more malicious actors attempt to exploit the vulnerabilities of AI systems deployed by defenders.
Political and physical security put aside, when it comes to digital security, the use of AI to automate tasks involved in carrying out cyberattacks will alleviate the existing tradeoff between the scale and efficacy of attacks. We can expect novel attacks that exploit human vulnerabilities through the use of speech synthesis for impersonation, like this mother who received a call from her kidnapped daughter only to realise that it was a scam using an AI-generated voice.
While the future of AI is promising, it also brings challenges. Ethical considerations, data privacy concerns, and the impact on jobs and the workforce need to be addressed when looking at the latest AI developments and what they might mean for the future. It is crucial to develop responsible AI frameworks, ensure transparency, and promote collaboration between AI developers, policymakers, and society at large.
Artificial intelligence trends are shaping the future of technology and industries, opening up new possibilities and transforming the way we live and work. By keeping abreast of the latest advancements, businesses and individuals can harness the power of AI to drive innovation, improve processes, and stay ahead in this rapidly evolving landscape.
Embracing AI trends is not only an opportunity but a necessity to thrive in the digital age and unlock the full potential of artificial intelligence. That’s why SCREENSHOT is the go-to publication for all your questions and concerns about AI in general, as well as AI trends and new artificial intelligence technology. Don’t want to end up being left out of the loop? Make sure you read all our AI-related articles!