technology

machine learning and artificial intelligence (ml-ai)

the exponential growth in data processing power since the invention of computers has reached an incredible level with machines that learn from data and have evolved into artificial intelligence. this self-training technology is developing itself faster than we can perceive, freeing itself from dependence on the speed of human developers. the exponential rate of development, combined with competition, is reducing the cost of computing power every day. the combination of these two factors enables artificial intelligence systems to become both more efficient and more affordable, making them increasingly accessible and offering more powerful solutions.

the discovery of 2.2 million new crystals equivalent to 800 years of knowledge, the discovery of new raw materials by testing 32 million potential inorganic materials in billions of different combinations in less than a week, and the discovery of a new antibiotic after 60 years by processing 12 million compounds in a very short time are all possible very quickly with deep learning methods.

large language models (llm) are trained on large amounts of data to understand patterns and structures in language and to generate language, and are highly capable of processing language. in this way, qualitative studies of millions of people can be processed very quickly into mathematical data and the most compatible people out of millions of people can be quickly identified.

moreover, these machines that learn from data will continue to perfect the results forever.