The future of computing includes biology says an international team of scientists.
The human brain has long been an inspiration for artificial intelligence (AI). This strategy was quite effective, as evidenced by the astounding accomplishments of AI, which range from detecting medical ailments to writing poetry. Despite AI’s great track record, the human brain still outperforms it in terms of computational capability than machines in many areas. Because of this, we can, for instance, “prove our humanity” online by answering silly image questions. What if we went straight to the source rather than attempting to make AI more brain-like?
Organoid intelligence (OI) is the name given to this emerging interdisciplinary topic, according to Johns Hopkins University professor Thomas Hartung, “We believe that this technology, which has been developed by a group of elite scientists, will usher in a new era of quick, strong, and effective biocomputing.”
Why might brain organoids make good computers?
The idea behind using brain organoids for AI computing is based on the recognition that while traditional silicon-based computers excel at certain tasks, they often struggle to match the learning capabilities and energy efficiency of the human brain. Brain organoids, despite being simplified models and aren’t ‘mini brains’, possess key aspects of brain function and structure that are essential for cognitive functions like learning and memory.
When it comes to learning, the human brain has demonstrated remarkable capabilities. It can acquire knowledge and skills from relatively limited amounts of data, whereas traditional AI systems often require extensive training on vast datasets to achieve similar levels of proficiency. The example of AlphaGo [the AI that beat the world’s number one Go player in 2017], which required training on a massive amount of game data, illustrates the contrast between the learning efficiency of the human brain and conventional computing methods.
Furthermore, the energy efficiency of the human brain is noteworthy. The power consumption required to train AI systems like AlphaGo surpasses the energy needed to sustain an active adult for a decade. In comparison, the human brain operates on significantly lower power consumption while performing complex cognitive tasks. By leveraging the energy efficiency of brain organoids, there is potential to develop biocomputing systems that are more environmentally friendly and sustainable.
Taking into account moral factors
Dr. Brett Kagan, chief scientist at Cortical Labs in Melbourne, who recently led the development of the DishBrain project stated “This new field of biocomputing promises unprecedented advances in computing speed, processing power, data efficiency, and storage capabilities – all with lower energy needs,” Additionally he adds, “The particularly exciting aspect of this collaboration is the open and collaborative spirit in which it was formed. Bringing these different experts together is not only vital to optimize for success but provides a critical touch point for industry collaboration.”
It’s important to note that the concept of using brain organoids for AI computing is still in its early stages of research and development. Many technical challenges need to be addressed, such as scalability, control, and interfacing with computational systems. Ethical considerations regarding the creation and use of brain organoids also require careful examination. While there are challenges and limitations to overcome, this interdisciplinary approach holds promise for developing novel forms of biocomputing that leverage the unique learning capabilities and energy efficiency of the human brain.
What rights might people have in brain organoids created from their cells? Could brain organoids, develop consciousness, even in its early stages? What are your thoughts on this project?
For more on this research, see Revolutionary Biocomputers Powered by Human Brain Cells.