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Psykhe secures seed funding to match consumer personalities to fashion products

TechCrunch

In an overcrowded market of online fashion brands, consumers are spoilt for choice on what site to visit. The platform then applies machine learning and personality-trait science, and tailors product recommendations to users based on a personality test taken on sign-up. It has now raised $1.7 So what does it do?

Fashion 187
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Enhancing customer care through deep machine learning at Travelers

CIO

And we recognized as a company that we needed to start thinking about how we leverage advancements in technology and tremendous amounts of data across our ecosystem, and tie it with machine learning technology and other things advancing the field of analytics. Here are some edited excerpts of that conversation. But whatâ??s

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A hacker’s fall fashion line features faux license plates. Here’s why

The Parallax

Hacker and fashion designer Kate Rose thinks not. . Until now, most antisurveillance fashion has surrounded ostentatious pairs of glasses or face jewels meant to fool (or at least bring attention to the potential privacy ramifications of) facial-recognition technologies. LAS VEGAS—Are you too sexy for your license plate?

Fashion 38
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Psykhe secures seed funding to match consumer personalities to fashion products

TechCrunch

In an overcrowded market of online fashion brands, consumers are spoilt for choice on what site to visit. The platform then applies machine learning and personality-trait science, and tailors product recommendations to users based on a personality test taken on sign-up. It has now raised $1.7 So what does it do?

Fashion 155
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You still don’t need a feature store

Xebia

Unfortunately, the blog post only focuses on train-serve skew. Feature stores solve more than just train-serve skew. This becomes more important when a company scales and runs more machine learning models in production. In a naive setup features are (re-)computed each time you train a new model.

Training 130
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3 steps to get your data AI ready

CIO

To regularly train models needed for use cases specific to their business, CIOs need to establish pipelines of AI-ready data, incorporating new methods for collecting, cleansing, and cataloguing enterprise information. Now with agentic AI, the need for quality data is growing faster than ever, giving more urgency to the existing trend.

CTO 193
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Generating fashion product descriptions by fine-tuning a vision-language model with SageMaker and Amazon Bedrock

AWS Machine Learning - AI

Using machine learning (ML) and natural language processing (NLP) to automate product description generation has the potential to save manual effort and transform the way ecommerce platforms operate. Then the Sagemaker client is used to launch a Sagemaker Training job, again a wrapper for an HTTP call.

Fashion 137