AI searches for lost items at airports

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AIRPORT USES AI TO FIND LOST ITEMS 🙌

Will invisible airplanes ever be a thing? … Because I just can’t see them taking off. 😅

What’s new? Dallas-Fort Worth International Airport (DFW) has employed AI to help reunite travelers with their lost items.

How does it work? After travelers report a loss, they are asked to provide details about the lost object, and the AI software scans through pictures and descriptions to identify matches, almost as if there is a search committee all over the airport looking for a single item. If the traveler is still in the airport, they can pick it up in the lost and found department. Otherwise, the airport will mail it to their desired address. This Lost and Found software, operated by Hallmark Aviation Services, is used at 11 other airports. That number is expected to grow exponentially within the next year.

Is it successful? DFW reported that about 18,000 items are lost each year at the airport, and thanks to AI, they are able to retrieve 90% of them. This technological solution has yielded heartwarming success stories told by DFW employees, including the recovery of nearly 600 rings, over 400 watches, and even seven Rolex watches. Among the notable victories was the retrieval of a forgotten wedding dress just 24 hours before a bride’s big day. The airport promptly overnighted the dress to the relieved bride, illustrating how AI is solving real-world problems, one lost item at a time.

MICROSOFT COPILOT GOES MOBILE 📱

Copilot: We are flying faster than the speed of sound!

Pilot: What? 👂

What’s new? Microsoft Copilot is now available for Android users on the Google Play Store. It is free to download and doesn’t require a Microsoft account.

What is Copilot? Fueled by OpenAI’s cutting-edge GPT-4 and DALL-E 3 models, Copilot is a personal AI assistant which offers a variety of features, including but not limited to answering research questions, offering code assistance, crafting marketing emails, and generating images from textual prompts.

AI-DRIVEN MICROPLASTICS RESEARCH GUIDES SUSTAINABILITY 🌎

12 million tons of plastic finds its way into the ocean every single year. 😳

What’s new? A Korean University professor named Yong Sik Ok led a groundbreaking study utilizing machine learning (ML) techniques to reveal a significant influence from microplastics on soil properties.

What’s the big deal? In recent years, the surge in plastic waste has evolved into a global crisis, with oceans being a primary focus. The complex interplay between microplastics, soil, and corporate sustainability is crucial within the current Environmental, Social, and Governance (ESG) framework. Corporations are under increasing pressure from customers and governing bodies to adopt eco-friendly practices, especially concerning plastic pollution. However, comprehending and managing the intricate relationship between soil and microplastics remains challenging due to the diversity of soil types and plastics complemented by a lack of accurate measuring capabilities.

What was the research? The research, published in Environmental Pollution, unveiled the significant influence of microplastics on soil properties, with factors like type, size, shape, and concentration playing distinctive roles. However, the implications of microplastic soil pollution extend beyond environmental concerns. ML insights displayed the ability to guide informed decision-making in plastic waste management, aligning with global sustainability goals. By integrating ML solutions, corporations can reduce their environmental footprint, build community trust, and potentially shape industry standards, fostering green job creation and sustainable development. In essence, this research highlights the urgency of addressing microplastics in soil and underscores the pivotal role of ML in revolutionizing our understanding and management of environmental challenges.

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Our FryAI team sat down for an interview with Ceylan Ersoy to talk about her project, BeforeSunset AI, a productivity platform that uses AI to help users structure their workdays and optimize their schedules. Check it out:

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