Starting in May 2022, Zhijiang Lab, in collaboration with the journal Science, is soliciting fundamental scientific questions that will be important in guiding future research in smart computing.
After a series of calls, screenings, and reviews, a panel of experts from around the world selected 10 of the most profound and challenging questions in the field of intelligent computing:
- How to define intelligence?
- And how to build a framework for the evaluation and standardization of intelligent computing?
- Is there a unified theory of analog computing?
- Where will the major innovations in computing come from?
- And will quantum computing approach the computing power of the human brain?
- What new devices will be made in the future? (For example, what new devices can we construct in terms of transistors, chip design, and hardware based on photonics and spintronics techniques, as well as biomolecules and carbon nanotube materials?)
- How will smart computing make intelligent machines possible?
- How will we understand memory storage and extraction based on the digital twin brain?
- What is the most efficient way to integrate silicon-based and carbon-based computing?
- How to build interpretable and efficient AI algorithms?
- Can we achieve strong intelligent computing that can learn, evolve, and reflect on itself?
- How can intelligent computing use real-world data to discover and generalize knowledge?