The scope of artificial intelligence's potential impact is staggering. One expert projects that AI's breakthroughs in understanding protein folding and predicting crystalline structures could pave the way for synthesizing ten thousand novel materials within the next three decades. Beyond materials science, this same computational power is accelerating critical research in healthcare—from longevity breakthroughs to advanced drug discovery and immunity studies. These staggering predictions emerged from a recent discussion with Apexon CEO Sriniketh Chakravarthi, exploring how deep tech understanding must merge with human-centric leadership to navigate the coming wave of automation and technological scale. The future of scientific discovery looks radically different because of these algorithms.
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