AI can add value thinking differently

the-next-innovation-revolution-powered-by-ai.pdf AI can add value thinking differently A McKinsey article about "The next innovation revolution—powered by AI" -> Most of these applications of AI have been aimed at improving the efficiency of existing tasks and

workflows. But boosting efficiency and productivity is just one way that AI promises to unlock a

new era of growth and opportunity. Our research shows that AI also can be deployed to accelerate

innovation to create entirely new products and services.

-> An early example of AI’s ability to generate ideas that a human would not have considered

occurred in March 2016. DeepMind had trained an AI-powered system called AlphaGo that

squared off against the world’s top Go player, Lee Sedol, in Seoul.

-> David Baker, a researcher at the University of Washington, has led a team that

uses deep learning models to design novel proteins that bind and catalyze other reactions. More

specifically, Baker and his team are creating entirely new proteins, complex functional molecules

that interact with other molecules at a subatomic level and don’t already exist in the world—a

goal that has been beyond the capability of scientists to accomplish without AI tools. Among the

applications of these custom-designed proteins: new vaccines and medicines

-> Take weather forecasting. Over the years, scientists have developed complex and detailed

models of the Earth’s weather that have enabled increasingly accurate forecasts. However,

because of their computational intensity, these physics-based simulations must be run on

powerful supercomputing clusters. DeepMind, for example, trained a neural-network-based

machine learning model that predicts the weather faster (eight minutes versus hours)