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Google says it has established a research hub in Singapore and is investing more than $6 million in grants and capacity-building initiatives across National University of Singapore (NUS), Nanyang Technological University (NTU), and INSEAD’s Thrive Lab to support AI for science, compute efficiency, regional language work, and AI safety research.
MIT Technology Review has made the full EmTech Future 2026 program available on demand for subscribers; sessions feature speakers such as Yossi Matias (Google Research), Hartmut Neven (Google Quantum AI), Evelyn Wang (MIT), and Cory Doctorow discussing how AI intersects with biology, energy, quantum, manufacturing, and society. The event frames AI not just as a standalone technology but as one that gains significance when it converges with other fields.
Google Research published a Nature paper, “Global prediction of extreme floods in ungauged watersheds,” reporting that machine learning models (including LSTM-based approaches) can materially improve global-scale flood forecasting where local streamflow data are scarce—extending forecast reliability on average from zero to five days and enabling Flood Hub to deliver up to seven-day river forecasts across reaches in over 80 countries; model evaluation was done in collaboration with ECMWF and the team has open-sourced related hydrology datasets.
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