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Pixyle AI wants to make visual search more intuitive for online retailers

TechCrunch

Pixyle AI’s neural networks train its visual AI algorithms to not only identify fashion items in an image, but also categorize them by attribute, like color or pattern, that match the keywords shoppers use when searching for an item. Pixyle AI’s team on a green mountain top. The reason for search results is usually bad data.

Retail 246
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LLMs Demand Observability-Driven Development

Honeycomb

Some of these things are related to cost/benefit tradeoffs, but most are about weak telemetry, instrumentation, and tooling. Instead, ML teams typically build evaluation systems to evaluate the effectiveness of the model or prompt. There is a much longer list of things that make software less than 100% debuggable in practice.

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The Interchange: Things go from bad to worse at Better.com

TechCrunch

Or as Dan writes, “This deal is set to create a public company CEO who could be rewarded for settling acrimonious litigation,” despite having been sidelined for other bad behavior. . One individual shared an email from HR India turning down their request saying that the worker was “part of a mission-critical team” at Better.com.

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The Good and the Bad of Databricks Lakehouse Platform

Altexsoft

But what do the gas and oil corporation, the computer software giant, the luxury fashion house, the top outdoor brand, and the multinational pharmaceutical enterprise have in common? Big data democratization and collaboration opportunities The Databricks team aims to make big data analytics easier for enterprises.

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AI's Offensive & Defensive Impacts

Palo Alto Networks

He warns: "Imagine with AI, they have the ability to make decisions about who to target, how to move laterally, and grab the valuable data … in an automated fashion. Where the idea of having a fully automated red team, and then therefore also a fully automated attacker." I think that's where this is going.

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J&J enlists AI to streamline joint replacement surgery

CIO

“While appropriate component sizing in TKA and THA is essential to optimizing clinical outcomes, there are instances where the provided patient X-ray during the pre-surgery process has poor image quality, which prevents predicting the right implant part sizing. Models are retrained approximately once per business quarter.

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MarqVision grabs $20M to nab counterfeiters with an AI-powered IP protection platform

TechCrunch

The company, based in Los Angeles and originally incubated at Y Combinator, says its customers — which include fashion labels like Ralph Lauren and Kangol, LVMH, crystal icon Baccarat, as well as media behemoth Pokemon — use MarqVision to scan places where their brands are most likely to be misappropriated.