TEDx Talks - Building AI like biology | Rein Ulijn | TEDxCUNY
The speaker discusses the complementary strengths of biology and technology, highlighting how biology is a creative innovator through evolution, while technology excels in fast problem-solving. By combining these strengths, there is potential to create sustainable technologies. The speaker, a scientist in bioinspired nanotechnology, emphasizes the unique opportunity to merge artificial intelligence with biological systems. The talk explores how AI can help understand biological processes at a fundamental level, potentially leading to new ways of building technologies inspired by biological systems. The speaker provides examples of how cells and semiconductor chips, as fundamental units of life and technology respectively, can be integrated to achieve greater innovation. The concept of complex adaptive systems is introduced, illustrating how collaboration among diverse elements can lead to impressive outcomes. The speaker envisions a future where biomolecular self-assembly is automated, leading to bioinspired technologies that are more in sync with the planet, potentially sparking a new industrial revolution.
Key Points:
- Biology and technology have complementary strengths: biology as a creative innovator and technology as a fast problem solver.
- AI can help understand biological processes, leading to new bioinspired technologies.
- Complex adaptive systems illustrate how collaboration among diverse elements leads to innovation.
- Automating biomolecular self-assembly could lead to sustainable technologies.
- Integrating biology and technology could spark a new industrial revolution.
Details:
1. 🌆 The Intersection of Tech and Biology
1.1. Main Insights
1.2. Current Tech-Biology Integrations
1.3. Future Implications
2. 🧠 Biological vs. Technological Innovation
- Biology innovates through evolution, a slow process that has developed complex systems like the human brain, which is the most powerful computer known today, operating with minimal energy and producing no E-Waste.
- The intricacy of biological systems underlines the challenge in replicating their functionality through design, marking it as the world's most complex problem to understand life at its fundamental building blocks.
- AI and automation have shown promise in addressing complex biological problems, demonstrated by AI's capacity to learn and outperform humans in strategic games like chess and Go, using vast data sets.
- AI's problem-solving abilities could be harnessed to emulate biological processes, with potential applications in healthcare, environmental science, and beyond, aiming to replicate biological efficiency and innovation.
3. 🔄 Unraveling Complex Adaptive Systems
3.1. Complex Adaptive Systems in Biology
3.2. Complex Adaptive Systems in Collaboration
4. 🔬 Decoding Life's and Tech’s Building Codes
- Semiconductor chips are to technology what cells are to life, with each iPhone containing about 25 chips serving different purposes.
- Semiconductor chips are complex networks of billions of switches that perform calculations accurately and precisely due to their static nature, unlike the dynamic nature of cells.
- The manufacturing of semiconductor chips involves highly advanced and automated processes with minimal human intervention, as observed in a visit to one of the world’s most advanced chip manufacturing plants.
- The code of technology is based on binary strings of zeros and ones, while biological systems use DNA, a four-letter code, to create complex structures from simple codes.
- Biology's code extends to 20 amino acids that build all proteins and create structures, akin to a self-assembling system without an instruction manual.
- Cells and proteins work as complex adaptive systems to achieve greater goals, forming organs and organisms, illustrating a hierarchy of complexity similar to Russian dolls.