Who: Fashable & Azure Machine Learning and PyTorch
Fashable, a Portugal-based startup, aims to transform the fashion industry with the help of technology. Led by Co-Founder and CEO Orlando Ribas Fernandes, Fashable employs Azure Machine Learning and PyTorch to create an AI algorithm capable of generating unique clothing designs. This solution aims to address the unsustainable practices within the fashion industry, reduce unsold inventories, speed up production cycles, and decrease clothing waste.
What: Azure Machine Learning and PyTorch integration
Fashable’s groundbreaking AI application, backed by Azure Machine Learning and PyTorch, can generate dozens of unique clothing designs within minutes, bypassing the need for physical material. This enables fashion companies to promptly meet customer demand, speed up their market reach, and minimize clothing waste.
Before: The problem with fast fashion
The rapid rise of fast fashion, defined by the quick and inexpensive mass-manufacturing of runway styles, has been instrumental in the explosion of fashion production. While this has enabled consumers to buy designer looks at reduced prices, it has also led to a throwaway culture and increased textile waste. As the fashion industry grapples with sustainability, the need for demand-responsive, waste-reducing solutions has become critical.
The process: Combining Azure Machine Learning with PyTorch
Fashable’s AI application is composed of several neural networks that learn from data sourced from social media, e-commerce, and retail websites. These networks are continuously learning to differentiate trending styles from outdated ones and can instantly adjust digital designs in real time. The use of Azure Machine Learning and PyTorch enables acceleration and efficient management of the lifecycles of Fashable’s machine learning projects.
After: Sustainable fast fashion
The Fashable AI model drastically reduces the traditional time, cost, and material requirements of creating a new fashion collection. Fashion designers can use Fashable’s AI-generated designs to gauge interest and forecast demand on social media before commencing production. This swift design-to-market approach ensures innovative creations can reach consumers without wasting any fabric.
Conclusion: A bright future beyond fashion
While Fashable initially applied its AI technology to fashion, the company is now exploring other use cases, including healthcare and manufacturing. Fashable’s CEO, Orlando Ribas Fernandes, envisions a future where AI, combined with human ingenuity, can save lives and change the world. From aiding lung cancer detection through X-ray scan analysis to creating innovative clothing designs, Fashable exemplifies the potential of AI.
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