🚑 AI nurses

PLUS: A safe way to ride your bicycles...

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Happy Wednesday, fellow humans 👋

Nvidia is jumping on the humanoid train while simultaneously developing AI nurses.

Plus, your next bicycle ride could be your safest one yet, courtesy of AI…

Let’s dive into it!

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🧵 In today's edition:

  • 🚑 AI nurses

  • 🤖 Humanoids are here

  • 🚴 AI guardian

  • 🤑 AI Fundraising News

  • 🗞️ AI Quick-Bytes

  • 🐦 Tweet Post of the Day

One of Nvidia’s many announcements this week was their partnership with Hippocratic AI to offer GenAI nurses that cost $9 per hour.

Their goal? To improve healthcare accessibility by presenting a cost-effective alternative to human nurses, who typically earn $90 per hour.

These AI nurses, available 24/7 for video consultations, strive to emulate human-like responses, providing medical advice and forwarding patient data to doctors.

Hippocratic AI prides itself on its ability to deliver specialized care, from colonoscopy screenings to breast cancer management, emphasizing efficiency and affordability.

However, this innovation brings up ethical concerns, balancing the potential to ease worker shortages against the risk of undermining the roles and livelihoods of human healthcare professionals.

These AI agents are not designed to diagnose. Still, their integration into the healthcare system marks a substantial shift towards using AI to meet the increasing demand for medical services while adhering to the principle of "first, do no harm.”

Read more: Gizmodo

Humanoids are officially on the rise.

Last week, we discussed Figure’s collaboration with OpenAI, bringing ChatGPT’s capabilities to their Figure 01 robot.

This week, Nvidia launched Project GR00T, a foundation model aimed at empowering humanoid robots with human-like understanding and movement.

The technology enables robots to grasp natural language and mimic human actions, helping robots seamlessly navigate and interact with the real world.

In addition to Project GR00T, Nvidia has updated their Isaac robotics platform with Isaac Manipulator, providing capabilities for robotic arms and Isaac Perceptor, adding multi-camera 3D vision.

The intelligence behind these humanoid robots is Nvidia's Jetson Thor computer. Powered by the Thor system-on-a-chip, it's designed to handle complex tasks while ensuring safe and natural interactions between humans and machines.

Nvidia is at the cutting edge of creating humanoid robots capable of performing tasks with precision that were once thought impossible.

And despite concerns about job displacement, the potential of humanoid robots in managing hazardous or repetitive tasks offers a glimpse into a future where robots and humans coexist more safely and efficiently.

Read more: Yahoo Finance

 🚴 AI guardian

AI products with real-life use cases have become my new favorite thing. 

Did you know that from 2010 to 2021, bicyclist fatalities fluctuated between 623 and a high of 966 per year, with an annual average of 800?

It's clear that bicyclists aren't entirely safe on the road, which is why Velo AI has improved cyclist safety by introducing Copilot.

This Raspberry Pi-powered bike illuminates paths while alerting riders to nearby cars, distinguishing between vehicles, bikes, and pedestrians.

Here’s the TL;DR:

  • Copilot, developed by robotics PhDs Clark Haynes and Micol Marchetti-Bowick, provides auditory warnings for different types of vehicular proximity and visual alarms for drivers who get too close, using AI and ML technology.

  • Unlike typical radar-based systems, Copilot's computer vision can detect and predict the behavior of incoming vehicles, enhancing the rider's awareness and safety.

  • It also records 1080p footage and flags critical moments for later review. All of this comes in a compact form that weighs 330 grams and costs $400.

Beyond personal safety, Copilot aims to contribute to broader road safety initiatives. By gathering data from multiple devices, Velo AI plans to work with cities like Pittsburgh to identify and make necessary infrastructure improvements.

Love. It.

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🤑 AI Fundraising News

  • Lumino raises $2.8M in Pre-Seed funding to develop an integrated compute protocol for AI workloads. It uses economic incentives, blockchain for model correctness, and an instant-start SDK. Customers can train AI models within minutes using the Lumino SDK.

  • Auguria raises an undisclosed amount in Seed funding to provide a vector-based cybersecurity platform, Auguria SKL, which leverages AI automation techniques to transform and prioritize security data. The technology aims to help customers accelerate and modernize their SIEM operations.


🗞️ AI Quick-Bytes

What else is going on?

🐦 Tweet Post of the Day

Excellent thread on how you can use AI to become a competent SWE 👇️ 

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