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- AI reshapes energy 🔋, Saudi Arabia all in on AI 🇸🇦, 3 AI tools 🧰
AI reshapes energy 🔋, Saudi Arabia all in on AI 🇸🇦, 3 AI tools 🧰
Welcome, innovators.
AI may have a reputation for being a resource hog, but what if we told you it's also the key to making energy smarter, more efficient, and ultimately greener?
Below, we dive into how AI is reshaping the energy game, without costing us all the power. 🔋
In today’s newsletter:
Today’s must-read stories 📰
AI transforming the energy industry
Prompt of the day ✍️
MBZUAI Research Corner 🔬
MBZUAI Research: Multi-lingual diversity in vision models
A significant setback of large language models and the generative AI systems built atop that architecture involves limitations in language. These models are primarily centered around English, with a few other major Western-centric languages.
The result — when it comes to visual question answering (VQA) models — according to some researchers, is a “narrow cultural representation.”
New research from the Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) strives to bridge that gap.
The details: In a new paper, researchers proposed CVQA, “a novel, large-scale, multilingual, culturally nuanced VQA benchmark that includes a diverse set of languages, including many that are underrepresented and understudied.”
The researchers constructed this “culturally diverse” dataset by focusing on “common ground” knowledge, i.e., local dishes, history, shared places, etc.
In applying the CVQA benchmark to a variety of open-source models, the researchers found that they “performed worse when queried in local languages compared to English.”
Why it matters: “We hope that publishing CVQA encourages the AI community to pay more attention to non-English-centric models and benchmarking, thereby advancing progress in multilingual, multimodal research,” the paper reads.
To learn more about MBZUAI’s research visit their website.
Today’s must-read stories 📰
A new study shows that AI, particularly generative AI, is increasingly used by Wazoku, a platform that crowdsources innovation from a global network of problem solvers, for idea generation, emphasizing its role in enhancing human creativity rather than replacing it.
Saudi Arabia is heavily investing in AI to drive its post-oil economy, aiming to boost economic growth by over $135 billion by 2030.
The AI Platform Alliance has expanded its consortium to include cloud service providers, system suppliers, and software companies, aiming to offer open, economical, and sustainable AI compute solutions that enhance both power and cost efficiency for AI inference.
Video of the Day 📽️
Miscellaneous resources
DeepLearning.AI: A free “AI for everyone” course.
IBM: Introduction to artificial intelligence course.
Stanford University: A course on fundamental AI concepts and practical machine learning skills.
AI tools 🔨
AI transforming the energy industry
The energy industry is undergoing a major transformation, leveraging AI to enhance productivity, safety, and sustainability.
As companies face evolving regulations, demands, and technological shifts, AI has emerged as a necessary tool to create efficient and resilient energy operations.
Enbridge's partnership with Microsoft exemplifies how digital transformation and AI can accelerate innovation, thus positioning the energy sector for a cleaner future.
Key takeaways
AI-driven transformation: Enbridge has utilized AI and cloud technology, including Microsoft Azure and Microsoft 365 Copilot, to boost productivity, safety, and operational efficiency.
Enhanced sustainability: Enbridge's AI tools, such as Energy Optimizer, Right of Way Monitoring, and Integrity Engine, contribute significantly to sustainability by optimizing energy transport, improving threat detection, and ensuring asset integrity.
Advanced visualization: Enbridge used Microsoft Cloud and Hololens for real-time monitoring of renewable energy assets, demonstrating AI’s role in managing and enhancing renewable energy projects.
AI's broad potential: Generative AI offers transformative opportunities across the energy sector, enabling better data analytics, asset optimization, and sustainability efforts.
Our thoughts
The integration of AI into energy operations represents a pivotal shift towards increased efficiency and sustainability in the sector. Enbridge’s initiatives demonstrate the potential of combining AI, cloud computing, and data analytics to create a more connected, safe, and innovative energy landscape.
Microsoft's role as a technology partner in this journey highlights the importance of collaboration in driving industry-wide change.
Future outlook
The ongoing partnership between industry leaders like Enbridge and Microsoft signifies a future where AI-enabled solutions are at the core of energy innovation. This will help pave the way for a greener and more resilient energy landscape.
Prompt of the day ✍️
Chief operating officer (create a process improvement plan document)
How it works:
The prompt guides an AI to create a process improvement plan document by interacting with the user for specific details, refining the plan iteratively, and rigorously evaluating the work against a set rubric to ensure high-quality output.
Why use it:
A COO would use this prompt to develop a detailed process improvement plan that effectively addresses operational inefficiencies, aligns with organizational goals, and ensures measurable improvements
Prompt Example:
{"prompt":"Develop a tailored Process Improvement Plan Document aligned with the user's individual needs, drawing insights from the supplied reference materials. Initiate interaction with the user to obtain essential specifics and resolve any ambiguities. Iteratively refine the Process Improvement Plan Document through consistent evaluations using the given evaluationRubric and gather user input to ensure the end product aligns with the users expectations.}
You can find the prompt in its entirety here.
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