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Top 10 A.I. Trends to Look Out for in 2023

December 12, 2022
AI Trends of 2022

The genie is out of the bottle and AI has made tremendous strides in recent years, for better or worse, and it continues to evolve, improving at a rapid pace. In this blog post, we will explore some of the top AI trends that are currently shaping the field.

Here are the top 10 AI Trends for 2023 that will be shaping the future of this technology:

  1. Reinforcement learning: Reinforcement learning is a type of machine learning that focuses on training agents to take actions in an environment in order to maximize a reward. This is similar to how animals learn from their environment and experiences. Reinforcement learning has been used to train agents to play games and control robots, and it has the potential to be applied to a wide range of real-world problems.
  2. Deeper Learning: Deep Learning is a subset of machine learning that involves the use of neural networks, which are algorithms that are designed to mimic the structure of the human brain. Deeper Learning will expound on the gains made in prior learning models with more accuracy and more data to work with. This technique has enabled significant progress in areas such as image and speech recognition, and it is expected to continue to drive advances in AI.
  3. Natural Language Processing: Natural language processing (NLP) is the ability of AI systems to understand, interpret, and generate human language. This technology has a wide range of applications, including chatbots, virtual assistants, and machine translation. The most common example of this is CHATGPT from OPENAI, currently in research mode.
  4. Computer Vision: Computer vision is the ability of AI systems to interpret and understand visual data from the world around them. This technology is used in applications such as image and facial recognition, and it is playing an increasingly important role in areas such as autonomous vehicles and robotics.
  5. Robotics AI: Robotics is the branch of AI that focuses on the development of intelligent machines that can perform tasks that are typically associated with human labor, especially more physically demanding and dangerous jobs. This includes tasks such as manufacturing, assembly, transportation, and logistics. This area will more than likely drive the biggest disruption to jobs, especially as robotics is combined with artificial intelligence on a larger scale.
  6. Autonomous Vehicles: Autonomous vehicles are vehicles that are capable of driving themselves without the need for a human operator. This technology is rapidly advancing, and it is expected to have a major impact on transportation, logistics, and other industries. Whereas current iterations are focused on consumer models (Tesla vehicles) to be self-driving, the reality is that true autonomous still needs much work. For now we have AI-assisted driving, and this will also be true for autonomous aircraft, or air-taxis, including autonomous air operations for logistics.
  7. Healthcare: AI is being increasingly used in the healthcare industry to improve the accuracy and efficiency of medical diagnosis and treatment. This includes applications such as image analysis, predictive modeling, and drug discovery.
  8. Explainable AI: Explainable AI, also known as interpretable AI, refers to the development of AI systems that can provide clear and understandable explanations for their predictions and actions. This is becoming increasingly important as AI is used in more sensitive and high-stakes applications, such as healthcare and finance. Explainable AI can help to increase trust in AI systems and make it easier for users to understand and validate their decisions.
  9. AI for social good: AI has the potential to solve many important social and environmental problems, from reducing poverty and inequality to tackling climate change. This includes the use of AI for applications such as healthcare, education, and disaster response. By applying Good AI to these challenges, we can harness its power to make a positive impact on the world.
  10. Human-AI collaboration: As AI becomes more advanced and widely adopted, it is increasingly important to consider how humans and AI can work together effectively. This includes the development of AI systems, or AI-assist systems, that can assist and augment human cognition and decision-making, as well as the design of user interfaces that enable smooth and natural human-AI interactions. By enabling humans and AI to collaborate, we can unlock the full potential of AI and achieve greater results than either could on their own.

Overall, these trends highlight the potential of AI to solve important problems, improve our lives, and create new opportunities. As AI technology continues to evolve and advance, it will have a profound impact on many different aspects of our world. AI has come a long way in recent years, and it continues to evolve and advance at a rapid pace.

I recommend checking out this great overview video from ColdFusion TV:

Latest posts by Rick Canfield (see all)
Rick Canfield

A postgrad with an M.S. in Media Management and a marketing producer from the SW with over 20 years of media development experience. Gives talks on the metaverse & digital anthropology.

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