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March 2024

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Edition · March 2024

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Google Research Blog
KeyRank 78

Using AI to expand global access to reliable flood forecasts

Google's machine learning system is solving a massive real-world problem at scale: providing reliable flood forecasts to 1.5 billion people in data-scarce regions. This demonstrates how AI can be operationalized for humanitarian impact while advancing climate resilience globally.

Why it ranks · · $50 billion in annual flood damages worldwide · March 2024

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The six pillarsRanked by KeyRank · this month

Frontier

33% share

Models, benchmarks, the lab race. · 13 stories

  1. 1Adapting language model architectures for time series forecasting72
  2. 2Croissant: a metadata format for ML-ready datasets
  3. 3Social learning: Collaborative learning with large language models
All 13 stories

Tools

49% share

The AI products people actually use. · 19 stories

  1. 1Introducing AI SDK 3.0 with Generative UI support72
  2. 2Health-specific embedding tools for dermatology and pathology
  3. 3Computer-aided diagnosis for lung cancer screening
All 19 stories

Agents

quiet today

Autonomous systems in the wild. · 0 stories

  1. Nothing cleared the bar today.

Money

quiet today

Funding, M&A, valuations, earnings. · 0 stories

  1. Nothing cleared the bar today.

Chips

5% share

Silicon, racks, the compute buildout. · 2 stories

  1. 1GaLore: Advancing Large Model Training on Consumer-grade Hardware72
  2. 2Quanto: a PyTorch quantization backend for Optimum

Work

13% share

Jobs, industries, people & policy. · 5 stories

  1. 1OpenAI announces new members to board of directors72
  2. 2OpenAI’s comment to the NTIA on open model weights
  3. 3Introducing the Chatbot Guardrails Arena
All 5 stories

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