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Artificial intelligence is an area of computer science that tries to create intelligent machines. In recent years AI has been steadily rising with many companies developing artificial intelligence technology and AI-based products that users can benefit from. In this article, we will discuss some artificial intelligence technology trends that you need to look out for in the upcoming year.

1. Unsupervised Machine Learning

Machine learning (ML) is a subset of artificial intelligence that uses statistical techniques to give computer systems the ability to “learn” (i.e., progressively improve performance on a specific task) with data, without being explicitly programmed. There is a lot of confusion when it comes to artificial intelligence and machine learning – mainly surrounding the idea that AGI (Artificial General Intelligence), or Strong AI, is becoming a reality. While we are still far from creating a working concept of an AGI, and many believe that the likelihood of it ever existing is slim to none, there are strides made in the field of ML. Machine learning algorithms can be supervised or unsupervised. In supervised machine learning, datasets are labeled so that when a new piece of data comes in it can be identified. In unsupervised machine learning, an unlabeled dataset is used to find similarities and patterns in the data. Unsupervised Machine Learning works best with large datasets which are then mined for information. The development of unsupervised ML will likely continue to lead artificial intelligence in new directions and is already finding its use in different tech we use daily – such as social media platforms.

2. Immersive Gaming

Artificial intelligence is finding its way into the video games industry. While artificial intelligence has already been implemented in past games such as chess and go, where AI players, or bots, were equally matched to human players, artificial intelligence in today’s games can think almost like humans. While AI in modern video games cannot perfectly replicate human thought, it can seemingly come close to making decisions that are at least difficult to distinguish from human thought. It’s been used in the gaming industry to create a more immersive gaming experience for players, and it’s only set to grow in the future. This artificial intelligence technology is called artificial neural networks (ANNs) and it has been finding its way into video games where artificial intelligence players can compete in ranked games for players who seemingly act like human opponents.

3. Robotic Process Automation

While artificial intelligence is still a long way from being able to handle complex tasks as would be expected of a human, technologies such as robotic process automation (RPA) are likely the closest thing we have now to artificial intelligence handling basic office work. RPA uses software bots or virtual agents that can complete tasks normally done by human workers. For example, AI can be used for data entry work through RPA bots. These artificial intelligence technology tasks are mostly repetitive actions but they still require many decision-making skills – allowing artificial intelligence to make use of Machine Learning and artificial neural networks to think. The idea is that these virtual assistants doing simple tasks will be able to free up human workers to focus on more complex tasks that artificial intelligence cannot yet accomplish.

4. The Rise of Conversational AI

Chatbots are artificial intelligence technology that can hold a conversation with users through chat interfaces – such as Facebook Messenger or other apps via voice command. Chatbots are artificial intelligence programs designed to simulate conversations with users. And artificial intelligence technologies such as Google’s natural language processing artificial intelligence allow chatbots to respond in human-like ways, leading to what feels like a more real conversation with artificial intelligence. While these chatbots are not yet imbued with the artificial general intelligence that would lead them to be able to handle complex decision-making tasks, they are already being used for customer service purposes by major companies. There are even apps being created that solely rely on these types of chatbots, that are aimed at mental wellness and self-help.

5. Edge Computing

While artificial intelligence has been used to handle cloud-based computing services in the past, artificial intelligence technologies are also being directed towards edge computing. Edge devices are able to make processing decisions locally instead of relying on centralized servers which can lead to faster artificial intelligence response times. This technology is necessary for AI that relies on real-time decision-making, such as artificial intelligence used in self-driving cars. While there’s obviously much yet to be done before that allows for robust cloud computing, the idea is that these technologies will improve artificial intelligence response times and artificial intelligence capabilities of edge devices. Completely self-driving cars are a heated topic at the moment since it poses a lot of questions that are related to the humanities as well. However, this technology is expected to continually grow in the coming years.

6. IoT Security

The rise of artificial intelligence in everyday life – like smart homes, artificial intelligence engines used in cars, or medical imaging technology – has also seen an increase in the need to secure artificial intelligence devices and AI capabilities of edge devices. The internet of things (IoT) has also seen a rise in the number of security concerns, with artificial intelligence playing a role in making decisions about devices or edge devices used for IoT purposes. While artificial intelligence security systems might still be some time away, the current AI technologies that are being used for this kind of security are using artificial neural networks to recognize data patterns that could indicate a breach of artificial intelligence devices.

7. Integrating Artificial Intelligence Into Business

While the use of AI technology for business has already been done by many companies, artificial intelligence technologies are not just limited to R&D labs anymore. There’s also an increasing amount of startups dedicated to pursuing artificial intelligence technologies in completely new areas like finance – with automated investment advisors and trading platforms – or even dating websites that rely on natural language processing to match users with compatible partners. Artificial intelligence marketing is already being used by many businesses – especially those who are online, such as e-commerce or media outlets. AI technologies can be used for analytics of audience behavior, which helps advertisers and content creators know more about what kind of content people want to see.

AI Technology Trends GP 2

With the rise of more and more artificial intelligence technologies, it’s clear that AI is becoming a central part of our lives in different industries. This can create a lot of opportunities for business, and because it stands to impact and improve almost every industry, it’s an incredibly important field to look out for.

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