Part 6/10:
AI's applications in drug discovery are becoming increasingly sophisticated. Companies like Google and various startups—including Isomorphic Labs and TaxJama—are integrating AI models to predict drug interactions, effects, and even to assist in making drug discovery processes significantly more efficient. Research on hybrid models that leverage conventional computing alongside quantum computing is also making headway, with laboratories testing these combinations for improved outcomes in drug development.
Nvidia's recent announcement of a Quantum Research Center illustrates this push toward integrating quantum computing with AI—promising breakthroughs in error reduction that have historically hindered quantum performance.