Recent advancements in AI research and development have led to significant improvements in various areas, including natural language processing, robotics, medicine, economics and ethical AI.

• Large Language Models (LLMs) have improved understanding and generating human-like text, while reinforcement learning (RL) models like AlphaFold and MuZero have made significant progress in predicting protein folding.
• Robotics and autonomous systems have seen the development of agile robots and collaborative robots– aiding and boosting the productivity and safety of the workforce.
• Ethical and explainable AI has been developed to reduce biases and improve transparency.
• Computer vision has seen self-supervised learning and generative models, while quantum computing has led to advancements in machine learning algorithms.
• AI has also been used in healthcare and biomedical applications, such as drug discovery and medical imaging.
• AI is being used in climate science and sustainability, improving climate predictions and sustainable practices.
• In finance and economics, AI models have improved trading strategies and fraud detection.
• Human-AI collaboration has also seen advancements in augmented intelligence and personal assistants.
• AI policy and governance have also been developed to ensure responsible AI deployment.