The latest progress, challenges and future of artificial intelligence

With the rapid development of artificial intelligence technology, AI is showing its huge potential and influence in various fields. From augmented work to real-time decision-making, from responsible AI to sustainable AI, these trends are reshaping the way we live and work.

Although AI technology has made significant progress, it still faces some major challenges. In terms of intelligence, current AI using deep learning faces major challenges in interpretability, generality, evolvability, and autonomy. Compared with human intelligence, most current AI technologies can only play a good role in specific fields or tasks, and there is still a long way to go to achieve powerful and universal AI.

In terms of computing, the wave of digitalization has brought unprecedented growth in applications, connections, terminals, and users, as well as the amount of data generated, all of which require huge computing power. The computing power required for artificial intelligence doubles every 100 days and is expected to increase by more than 1 million times in the next five years. As Moore's Law slows down, it becomes challenging to keep up with such rapidly growing computing power requirements. In addition, the traditional hardware model cannot support intelligent algorithms well, which limits the development of software.