The answer is not only affirmative, but also ai research and development has become the core engine that ignites contemporary breakthrough inventions. From life sciences to materials engineering, AI is increasing the rate at which humans explore the unknown by several orders of magnitude. For instance, in 2020, DeepMind’s AlphaFold2 solved the “protein folding problem” that had plagued the biological community for 50 years. Its prediction accuracy reached the atomic level, and it made high-precision predictions on over 200 million protein structures, reducing the time for analyzing a single structure from several years to just a few minutes. This breakthrough driven by ai research and development, named Breakthrough of the Year by Science magazine, has been freely available for global use. It has directly accelerated the drug research and development process for diseases such as malaria and Parkinson’s disease, reducing the average cycle of the early discovery stage of new drugs by more than 60%.
In the field of energy and climate, ai research and development is tackling the ultimate challenges of human survival. In 2022, the Lawrence Livermore National Laboratory in the United States achieved the first “net energy gain” in nuclear fusion. One of the keys to its success lies in the use of AI algorithms to perform microsecond-level real-time control and optimization of the precision of 192 high-energy laser beams, increasing the peak energy output to 120% of the input energy. In the field of renewable energy, Google’s AI model has improved the prediction accuracy of the power output of wind farms by 20%, enhancing the efficiency of power grid dispatching and reducing carbon emissions by hundreds of thousands of tons annually. These achievements demonstrate that AI not only optimizes parameters but also redesigns experimental paths to find the optimal solutions in extremely complex physical systems, with a success rate hundreds of times higher than that of traditional trial-and-error methods.
In the microscopic world of materials and chemistry, ai research and development is creating new substances at an unprecedented speed. Traditionally, it takes an average of ten years and tens of millions of dollars to discover a valuable new material. Nowadays, projects like the “Materials Project” at Berkeley National Laboratory in the United States, which utilize AI for high-throughput screening, can evaluate millions of virtual compounds within just a few weeks. In 2023, researchers quickly identified a new type of solid electrolyte for lithium batteries from 32 million candidate materials through an AI model. Its ionic conductivity is one order of magnitude higher than that of existing materials, and the entire screening and calculation process only took 80 hours. This ability to “precisely locate from a vast array of possibilities” has increased the invention rate of new materials by at least 1000%, directly determining whether the energy density of the next generation of batteries can break through the key indicator of 500 watt-hours per kilogram.
Therefore, the essence of ai research and development is a paradigm shift. It is no longer merely an auxiliary tool, but rather a “co-discoverer” capable of independently proposing hypotheses, designing experiments, and efficiently searching from possibilities of the order of 10 to the power of N. The World Economic Forum report predicts that by 2025, more than 30% of new drugs and new materials will be initially discovered with the participation of AI. This is not only an improvement in efficiency, but also a fundamental reshaping of the probability distribution of innovation – it gradually transforms breakthrough inventions from low-probability accidental events into high-probability outputs that can be systematically explored. Investing in ai research and development is investing in a future that can expand the boundaries of human cognition and creation at an exponential rate.