DTN 024: Supercomputer Will Help Decide Whether to Block the Sun

Supercomputer Will Help Decide Whether to Block the Sun

“A new supercomputer for climate research will help scientists study the effects of solar geoengineering, a controversial idea for cooling the planet by redirecting the sun’s rays. The machine, named Derecho, began operating this month at the National Center for Atmospheric Research and will allow scientists to run more detailed weather models for research on how human-made aerosols, which can be used to deflect sunlight, could affect rainfall patterns.” (Scientific American)

Eric Schmidt: This is how AI will transform the way science gets done

“If we play our cards right, with sensible regulation and proper support for innovative uses of AI to address science’s most pressing issues, AI can rewrite the scientific process. We can build a future where AI-powered tools will both save us from mindless and time-consuming labor and also lead us to creative inventions and discoveries, encouraging breakthroughs that would otherwise take decades. At its core, the scientific process we all learned in elementary school will remain the same: conduct background research, identify a hypothesis, test it through experimentation, analyze the collected data, and reach a conclusion. But AI has the potential to revolutionize how each of these components looks in the future.” (MIT Technology Review)

Deep Tech: The New Wave

“Mexico and its Latin American and Caribbean (LAC) peers can harbor higher hopes when it comes to deep tech, a new report posits. Titled “Deep Tech: The New Wave” and created in collaboration with the Inter-American Development Bank’s innovation laboratory (IDB Lab), the report concludes that there is room for a twentyfold increase in VC investment into LAC deep tech startups over the next decade. Venture capital investment into LAC deep tech represents a small share of overall VC dealmaking in the region. However, it is on the rise, both in absolute numbers and proportionally, growing from $96 million (0.59%) in 2020 to $172 million (2.2%) in 2022.” (TechCrunch)