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1
Introduction
2
The Age of AI
3
Bill Gates AMA
4
Sara Bergman
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Agenda
6
Why Software and Climate
7
Machine Learning and Climate
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Model size is exploding
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State of AI
10
Carbon Footprint
11
Green Software
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Green Software Foundation
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Measuring Software
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Carbon Efficiency
15
Quantification
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Quantification Methods
17
Core Characteristics
18
Net Zero
19
SEI Score
20
Machine Learning Climate
21
Patterns
22
Life Cycle
23
Project Planning
24
Carbon Aware Features
25
Service Level Objectives
26
Data Collection
27
Data Hoarders
28
Data Green
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The Next Phase
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Graph
31
Training Models
32
Federated Learning
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Optimizing Size
34
Time Shifting
35
Sustainable Regions
36
Hardware
37
Deployment Maintenance
38
Azure Machine Learning
39
Variable Power
40
Hosting Efficiency
41
Serverless Architecture
42
AI Models on the Edge
43
Where to Start
44
Summary
45
Free course
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Questions
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What about software in general
48
What is the Green Software Foundation doing
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the critical intersection of artificial intelligence and climate change in this thought-provoking conference talk. Delve into the substantial carbon footprint of AI systems and their impact on global warming targets. Examine the rising interest in assessing and mitigating carbon emissions throughout the AI lifecycle. Learn about the Green Software Foundation's Software Carbon Intensity specification and its importance in measuring environmental impact. Discover strategies for reducing the carbon footprint of AI, including optimizing model size, implementing carbon-aware features, and leveraging sustainable computing practices. Gain insights into the future of sustainable AI development and practical steps to create more environmentally responsible software. Engage with topics such as data collection efficiency, federated learning, and edge computing as potential solutions for greener AI implementations.

The Next Decade of Software Is About Climate - What Is the Role of ML?

NDC Conferences
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