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AI enables machines to perform tasks that normally require human intelligence—such as recognizing speech, making decisions, and solving problems. Machine Learning allows these systems to improve automatically through data analysis. Applications include self-driving cars, healthcare diagnostics, financial fraud detection, and personal assistants like Siri and Alexa.
Reference: Russell, S., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach (4th ed.)
Synthetic biology is a cutting-edge scientific discipline that merges biology, engineering, and computer science to design and construct new biological systems or reprogram existing ones for useful purposes. By rewriting the genetic code of organisms, scientists can make cells perform specific tasks — such as producing biofuels, biodegradable plastics, or even medicines on demand. This field has already produced remarkable innovations like synthetic yeast chromosomes and programmable bacteria capable of detecting diseases or cleaning up pollutants.
Recent advancements in gene editing tools like CRISPR-Cas9 have accelerated synthetic biology’s growth, enabling scientists to manipulate DNA sequences with precision. In medicine, this could lead to programmable immune cells that target cancer cells while leaving healthy tissue untouched. In environmental science, it could result in microorganisms engineered to absorb excess carbon dioxide or detoxify waste. As bioengineering continues to integrate with ICT through AI-driven modeling and cloud-based genetic databases, synthetic biology is positioned to become one of the most transformative forces in both science and industry.
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A third arm or superpowers, either way: super useful!