Google Startups: Energy AI
Considered for Google's 2025 AI Startup Accelerator
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Little Optimizations That Enable Powerful Algorithms

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Lean Model Architectures

Designing efficient AI models that require less computational resources.

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Optimization of Batch Sizes

Fine-tuning batch processing to minimize energy consumption during training.

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Temporal Workload Shifting

Scheduling intensive computations during periods of renewable energy abundance.

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Elimination of Redundant Training

Identifying and removing unnecessary training iterations to save resources.

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Precision Reduction Techniques

Using lower precision calculations where appropriate to reduce energy usage.

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Algorithms

Our optimizations enable powerful algorithms that conserve water while maintaining performance.

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"Small changes in AI optimization can create powerful ripple effects for water conservation."

Our optimizations amplify breakthrough technologies like CRISPR gene editing and AlphaFold protein structure prediction, while addressing the global water crisis through more efficient AI.

Click on any letter above to explore our optimization techniques