Folks it is becoming serious now, artificial intelligence (AI) is advancing at an unbelievable pace.
Here are some of the key events in AI in 2022:
Quantum Machine Learning: In 2022, quantum machine learning (QML) emerged as a major area of focus in the field of AI. QML combines the principles of quantum computing with machine learning algorithms, enabling more complex and accurate data analysis. Researchers at Google and IBM made significant advancements in QML, including the development of new quantum machine learning algorithms and the launch of quantum machine learning platforms. If you need more on this then go check out
https://arxiv.org/abs/2201.04093
https://hdsr.mitpress.mit.edu/pub/cgmjzm3c/release/3
https://ai.googleblog.com/2022/06/quantum-advantage-in-learning-from.html
Ethical AI: There is growing concern about its ethical implications. In 2022, there was a renewed focus on ethical AI, with several new initiatives and frameworks launched to address this issue. For example, the Partnership on AI released new ethical guidelines for AI development, while the IEEE launched a new standard for ethically aligned AI. Personally I always insert the word Refusniks into this.
Robotics in Manufacturing: Robotics continued to play an important role in manufacturing in 2022, with new advancements in automation and robotics technology. In particular, there was a growing trend towards collaborative robots, or cobots, that work alongside human workers to improve productivity and safety in manufacturing environments.
Explainable AI: Explainable AI, or XAI, refers to the ability of AI systems to explain their decision-making processes in a way that humans can understand. In 2022, there were several new developments in XAI, including the launch of new explainability tools and frameworks. This is an important step towards building trust in AI systems and ensuring that they are used ethically.
AI in Healthcare: AI continued to make significant contributions to healthcare in 2022, with new applications in disease diagnosis, drug discovery, and patient care. For example, researchers at MIT developed an AI system that can predict the risk of developing breast cancer, while AI-powered chatbots are being used to provide mental health support to patients.
Autonomous Vehicles: Autonomous vehicles are one of the most exciting applications of AI. In 2022, there were several new developments in autonomous vehicles, including the launch of new self-driving cars and the development of new AI algorithms to improve safety and efficiency on the roads.
Natural Language Processing: Natural language processing (NLP) is a critical component of many AI applications, including virtual assistants and chatbots. In 2022 we saw the launch of new language models and the development of new algorithms for speech recognition and natural language understanding.
Edge AI: Edge AI refers to the ability of AI systems to process data locally, without relying on cloud computing. This is an important development for applications that require low latency and real-time processing, such as self-driving cars and industrial automation. In 2022, there were several new advancements in edge AI, including the development of new hardware and software solutions. I think that perhaps in 2023 we will see plug ins offering this same tech.
In conclusion, 2022 was a year of progress, yet again. From quantum machine learning and ethical AI to robotics in manufacturing and autonomous vehicles, the tech will continuing to transform our engagement in revolutionary ways.
Are you ready?
