Remove categories wearables
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Scott Stavretis, CEO & Founding Director of Acquire BPO – Interview Series

Unite.AI

The growth in the adoption of wearable devices and sensors that collect continuous health data improves patient outcomes with real-time monitoring and data analysis that can deliver early detection and intervention outcomes. Looking ahead, what emerging AI technologies do you find most promising for business applications?

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Unlocking AI’s Potential in Healthcare

Unite.AI

This data landscape can broadly be separated into two key categories: health data and operations data. Examples from this category include: Structured Electronic Medical Record (EMR) Data: These represent critical medical information like vital signs, lab results, and medications.

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Neuro-Symbolic Models are Making a Comeback

TheSequence

Symbolica uses mathematical techniques such as category theory to build simpler models that are easier to manage and interpret. The widely expected Human AI Pin wearable device is out with mixed reviews. In their press release, Symbolica cited AlphaGeometry as one of the inspirations for their work. Showflake announced its SQL Copilot.

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ODSC’s AI Weekly Recap: Week of February 9th

ODSC - Open Data Science

AI News Highlights Sam Altman says ChatGPT should be ‘much less lazy now AI chatbots tend to choose violence and nuclear strikes in wargames Machine learning meets modern medicine in Northwest Arkansas NASA scientists use AI to achieve revolutionary feat with traditional farming Whoop Brings AI-Driven Virtual Coaching Into Wearables Category Sega’s (..)

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NeurIPS 2023: Key Takeaways From Invited Talks

Topbots

In less than 16,000 waking hours leading up to their fourth birthday, they manage to learn over 1,000 object categories, master the syntax of their native language, and absorb the cultural and social nuances of their environment.

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Computer Vision Tasks (Comprehensive 2024 Guide)

Viso.ai

Each pixel in the image is classified and segmented to represent distinct objects or regions based on semantic categories. Virtual try-on in retail, to let customers try different wearables virtually. The method produces more precise classification by assigning a label to an object’s individual pixels.

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Former U.S. Chief Data Scientist on past and future of data science

Snorkel AI

You should be thinking broadly, across a bunch of disciplines and categories, and you should have deep knowledge in at least two or three subjects. Maybe certain categories of AI systems need to be held to higher standards than most other things. A lot of people say, “hey, give them a wearable device, give them something fancy.”