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Renewable energy in action: Examples and use cases for fueling the future

IBM Journey to AI blog

More than 110 countries at the United Nations’ COP28 climate change conference agreed to triple that capacity by 2030, and global investment in clean energy transition hit a record high of USD 1.8 More than 85% of Iceland’s electricity comes from local renewable resources, including hydropower and geothermal power.

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Harnessing Machine Learning for Climate Change Mitigation: A Roadmap to Sustainable Future

Heartbeat

In a world where glaciers are receding, wildfires are intensifying, and sea levels are rising, the urgency of addressing the climate crisis has never been more palpable. But can ML also be the game-changer in our fight against climate change? This article explores the intricate intersection of ML and climate change mitigation.

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Just Calm Down About GPT-4 Already

Flipboard

He spoke about this moment in AI, which he doesn’t regard with as much apprehension as some of his peers, and about his latest startup, which is working on robots for medium-sized warehouses. When are we going to have full (level-5) self-driving cars? guessed right—I asked it about me, and it said I was a skeptic about it.

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Uncover the Secrets of Image Recognition using Machine Learning and MATLAB

Pickl AI

Machine Learning algorithms can extract pertinent information from photos and generate precise predictions about the content or objects present using methods like Convolutional Neural Networks (CNNs). Autonomous Vehicles: IR is essential to the development of autonomous vehicles and self-driving cars. How does Image Recognition work?

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Unlocking the Power of ChatGPT: A Guide to Using Prompts for Maximum Productivity

Chatbots Life

ChatGPT is an AI language model that can do just about anything you need it to, and with the right prompts, you can unlock its full potential. </p> Change the HTML of a line of code Add a class of "header" to this header tag? <h1>Hello, Well, look no further than ChatGPT prompts! <h1>Hello, QuickRef.ME!

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Meet Predictoor: Accountable Accurate Prediction Feeds

Ocean Protocol

With application to finance, weather, climate, real estate, and more. Conversely, inaccurate predictions can be problematic. A feed may be binary, i.e. whether a time series changes up or down: ↑↓↓↓↑↓↑↑. This drives accurate prediction feeds, because only accurate predictoors will be making $ and sticking around.

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Remote monitoring of raw material supply chains for sustainability with Amazon SageMaker geospatial capabilities

AWS Machine Learning Blog

Deforestation is a major concern in many tropical geographies where local rainforests are at severe risk of destruction. About 17% of the Amazon rainforest has been destroyed over the past 50 years, and some tropical ecosystems are approaching a tipping point beyond which recovery is unlikely. Learn more about NDVI calculations here ).

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