Amazon introduces Project PI

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AMAZON INTRODUCES PROJECT PI 📦

Did you hear about the monkeys who share an Amazon Prime account? They are Prime Mates. 🐵

What’s new? Amazon has introduced Project PI, or “Private Investigator,” which leverages GenAI and computer vision to detect product damage or discrepancies in color and size before shipment.

How does this work? Products en route to customers pass through a scanning tunnel where the computer vision system—an AI capable of interpreting images—inspects for defects. If an issue is found, the item is flagged and isolated for further evaluation. Amazon employees then review flagged items, deciding whether to sell them at a discount on Amazon’s Second Chance site or donate them. Currently active in several North American warehouses, this system will expand to more sites this year. Additionally, Amazon is developing a multimodal LLM to analyze customer feedback and get to the root of the problem and improve the overall process.

Why is this important? Project PI will lead to more accurate deliveries and less returns. In addition to improving overall customer satisfaction, this will also help with the monetary and environmental costs associated with returns. This helps the company “avoid unnecessary carbon emissions due to transportation, packaging, and other steps in the returns process.”

MICROSOFT INTRODUCES AI WEATHER FORECASTING MODEL 🌦️

I would share a weather joke with you, but I’m afraid it would blow you away. 💨

What’s new? Microsoft has revealed Aurora, an AI-driven weather forecasting model.

How does it work? The Aurora model has been trained on “over 1 million hours of diverse weather and climate simulations” and has learned how to interpret variables such as temperature, air quality, and greenhouse gas concentrations to predict the weather. This inclusive and diverse training allows the model to predict the weather, especially extreme weather conditions, even in data-sparse regions.

Why is this important? Microsoft believes this model could help to not only improve regular weather forecasts but more importantly “could transform our ability to predict and mitigate the impacts of extreme events” by increasing disaster preparedness.

HOW AI IS TRACKING HOUSEHOLD TRASH 🗑️

I had a joke to tell, but then I decided it was trash. 🚮

What’s up? Finnish startup Binit is using AI to track household trash.

How does it work? Binit has created an AI device equipped with cameras and sensors which scans items before disposal, utilizing commercial LLMs like OpenAI’s GPT for high-accuracy recognition, with up to 98% accuracy. Founder Borut Grgic explains, “We’re producing the first household waste tracker … It’s even able to tell, with relative accuracy, whether or not a coffee cup has a lining, because it recognizes the brand.” Based on this AI detection, Binit provides users with analytics and feedback through an app, encouraging waste monitoring and reduction. Binit aims to launch its AI trash scanner commercially this fall, priced around $199 with basic analytics free and premium features available via subscription.

Why is this important? This device from Binit is an example of how AI can help individuals and families improve their environmental impact. It also represents a way that AI gadgets are being used for more productive purposes than simply enhancing VR games.

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