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As of my last update in January 2022, I can provide insights into some AI breakthroughs that were anticipated to shape the future up to that point.

However, for the latest advancements and the "10 Breakthrough Technologies of 2024," I'd recommend checking the MIT Technology Review or other credible sources as developments in AI and technology are continually evolving.

Some potential breakthroughs in AI that were expected to impact various domains include:  AI-Powered Drug Discovery: AI algorithms were being extensively used to accelerate the drug discovery process by predicting potential drug candidates and their effects, reducing time and cost. 

Explainable AI (XAI): Enhanced efforts in developing AI systems that can explain their decisions and actions, fostering trust and understanding among users, especially in critical fields like healthcare and finance. 

AI in Autonomous Vehicles: Advancements in AI and machine learning algorithms for self-driving cars and autonomous vehicles, improving safety and efficiency on the roads. 

Natural Language Processing (NLP) Advancements: Continual improvements in NLP models, enabling more accurate language understanding, sentiment analysis, and language generation for chatbots, translation, and content creation. 

AI-Assisted Robotics: Integration of AI with robotics, leading to smarter and more adaptable robots capable of performing complex tasks in various industries, from manufacturing to healthcare. 

AI for Climate Change Solutions: Utilization of AI to analyze vast amounts of environmental data and facilitate the development of sustainable solutions for mitigating climate change effects.  AI in Personalized Healthcare:

AI applications for personalized medicine, including predictive analytics, disease diagnosis, and treatment recommendations tailored to an individual's genetic makeup and health history. 

AI Ethics and Governance: Increasing focus on creating frameworks and guidelines for responsible AI use, ensuring fairness, accountability, and transparency in AI systems. 

AI in Cybersecurity: Leveraging AI for more robust cybersecurity measures, including threat detection, anomaly identification, and real-time response to evolving cyber threats. 

AI-enhanced Creativity: Advancements in AI-generated content, supporting artists, designers, and creators with tools that assist in generating, editing, or enhancing various forms of media. 

Please note that these areas represent trends and potential breakthroughs up until 2022, and the landscape of AI and technology may have evolved significantly since then.

For the most recent and accurate information on the "10 Breakthrough Technologies of 2024," I recommend referring to updated reports or articles from reliable technology sources.