ChatGPT's Electricity Consumption
ChatGPT may have consumed as much electricity as 175,000 people in January 2023.- 27995Murphy ≡ DeepGuide
Tackling the Problems of a Changing World with Data
Our weekly selection of must-read Editors' Picks and original features- 20420Murphy ≡ DeepGuide
Carbon Footprint: Why Common Claims May Not Be Accurate
Creating robust CO₂ scenarios for data-driven climate action- 24416Murphy ≡ DeepGuide
Urban Resilience: Tirana, a Case Study [Part 1]
Quantifying urban resilience in Tirana: power law distributions, self-organizing cities and sustainable population dynamics- 28259Murphy ≡ DeepGuide
A Sustainable Supply Chain Template with Geospatial Calculations in Python
A supply chain network footprint should include greenhouse gas calculations for both transportation and distribution centers- 21864Murphy ≡ DeepGuide
Create a Sustainable Supply Chain Optimization Web App
Help your organization combine sustainable sourcing and supply chain optimization to curb both costs and environmental impacts.- 28489Murphy ≡ DeepGuide
Environmental Impact of Ubiquitous Generative AI
What could happen to our environment if billions of people began to use generative AI technology on a daily basis?- 29851Murphy ≡ DeepGuide
The carbon footprint of GPT-4
Recently leaked data allows us for the first time to estimate the carbon emissions from training OpenAI's GPT-4.- 26782Murphy ≡ DeepGuide
ChatGPT's energy use per query
How much electricity does ChatGPT use to answer one question?- 26439Murphy ≡ DeepGuide
Towards Green AI: How to Make Deep Learning Models More Efficient in Production
From Academia to Industry: Finding the best trade-off between predictive performance and inference runtime for sustainability in Machine...- 21860Murphy ≡ DeepGuide
What is Greenwashing? And How to Use Analytics to Detect It?
Explore how data analytics can help us to detect and prevent greenwashing and promote genuine sustainability.- 21325Murphy ≡ DeepGuide
What is ESG Reporting?
Leveraging Data Analytics for Comprehensive and Effective Environmental, Social and Governance reporting of a company- 27838Murphy ≡ DeepGuide
Environmental Data Science: An Introduction
Examples, challenges, and perspectives for working with environmental data- 24077Murphy ≡ DeepGuide
How Will Data Science Accelerate the Circular Economy?
Actionable data science tips to overcome the operational challenges in transitioning to a circular economy- 28197Murphy ≡ DeepGuide
Carbon Emissions of an ML Engineering Team
Everybody is aware of the climate crisis due to global warming as a result of human activities. To prevent its catastrophic consequences [1], the world needs to reduce our greenhouse gas emissions drastically, with many countries setting a target of net z- 23380Murphy ≡ DeepGuide
Is Generative AI Worth Its Environmental Footprint?
Generative AI is receiving a lot of attention these days. ChatGPT reportedly has hundreds of millions of users and similar functionality is allegedly being built into a multitude of digital products ranging from Microsoft Word and Teams to search engines.- 24168Murphy ≡ DeepGuide
A Foundation Model for Satellite Images
The Prithvi-100M IBM Geospatial AI Foundation Model for NASA Earth Observation Data- 22145Murphy ≡ DeepGuide
Massive Energy for Massive GPU Empowering AI
Massive GPUs for AI model training and deployment require significant energy. As AI scales, optimizing energy efficiency will be crucial- 22359Murphy ≡ DeepGuide
Carbon footprint of LLM fine tuning – a case study
I got surprising results when I measured the carbon emissions from instruction fine tuning an LLM.- 25375Murphy ≡ DeepGuide
Data Science for Sustainable Sourcing
How can you use Data Science to select the best suppliers considering indicators for sustainability and social indicators?- 28851Murphy ≡ DeepGuide
1 2
We look at an implementation of the HyperLogLog cardinality estimati
Using clustering algorithms such as K-means is one of the most popul
Level up Your Data Game by Mastering These 4 Skills
Learn how to create an object-oriented approach to compare and evalu
When I was a beginner using Kubernetes, my main concern was getting
Tutorial and theory on how to carry out forecasts with moving averag