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🔓Unlocking the Future of AI: HealthGPT, NVIDIA, and Microsoft's Project Athena

Revolutionizing Personal Health, Content Creation, and Cutting-Edge Technology

What’s hot in AI today?

  1. 👨‍⚕️Meet HealthGPT: Your Personal AI Health Assistant by Stanford Student Varun Shenoy

  2. 📑Transform Your Words into Videos: NVIDIA's Revolutionary Video Latent Diffusion Models Unleash Creative Potential

  3. 🔐Project Athena: Microsoft's Secretive AI Chip Venture to Boost Capacity and Reduce Costs

5 minute read

👨‍⚕️Meet HealthGPT: Your Personal AI Health Assistant by Stanford Student Varun Shenoy

Meet HealthGPT, a ground-breaking innovation by Stanford student Varun Shenoy that connects your personal health data on your iPhone with ChatGPT. This cutting-edge tool enables you to have a conversation with your digital health history, offering insights and advice tailored to your fitness goals. The code is public, making it accessible to anyone interested in taking a step towards a future with personalized AI health assistants. [Github Code]

Key features of HealthGPT include:

🛡️ Privacy-first data tracking

🤔 Understanding of your body's unique needs

💪 Tailored advice for fitness goals

❓ Ability to ask specific health-related questions

📊 Access to the last two weeks of various health data types (step count, exercise minutes, active energy burned, and sleep)

HealthGPT by Varun Shennoy

📑Transform Your Words into Videos: NVIDIA's Revolutionary Video Latent Diffusion Models Unleash Creative Potential

Introducing Nvidia’s Video Latent Diffusion Models (Video LDMs) - a ground-breaking tool that simplifies the video-making process and brings a game-changing feature: turning text into captivating, high-quality videos! By building upon existing image creation techniques and adding time-based elements, Video LDMs unlock endless possibilities for creative content production.

Imagine just typing a description and having a personalized, high-resolution video created based on your text. Video LDMs make this possible, offering a revolutionary way to generate custom video content. With a wide range of applications, including lifelike driving scenes and personalized text-to-video creations, Video LDMs are set to redefine video production. [Paper]

Key features of Video LDMs:

  • Transform text into stunning, personalized videos with ease.

  • Generate lifelike driving scenes, custom text-based videos, and more in high resolution.

  • Build on proven image creation techniques and add time-based elements for seamless video generation.

  • Apply learned time-based elements to different image creation models for versatile video creation.

  • Create extended videos using starting frames as a reference.

  • Enjoy high-quality video output with advanced upscaling and time-based alignment

🔐Project Athena: Microsoft's Secretive AI Chip Venture to Boost Capacity and Reduce Costs

Microsoft is making a bold move in the AI industry with its secret Project Athena, aimed at developing its own first-party chip to power AI supercomputers. This decision could give the tech giant a significant advantage in the rapidly evolving AI landscape. While other major corporations like Amazon, Alphabet, and Meta have already developed their own AI chips, Microsoft has been relying on Nvidia for its AI chip supply. Project Athena, with a reported annual cost of around $100 million, could reduce ChatGPT operating costs by 33%, potentially saving Microsoft over $84 million.

Project Athena, anticipated to be available for mass production in 2024, may not entirely replace Nvidia's AI chips but is expected to augment them. The chip is to be based on a 5-nanometer process, which is not as advanced as top-of-the-line Nvidia chips. However, if successful, this development could significantly upgrade Microsoft's supercomputer capacity and, with reduced operating costs, make AI more accessible to everyone.

Key Points:

  • Microsoft working on Project Athena, its first in-house AI chip

  • Project aims to reduce ChatGPT operating costs and save Microsoft millions

  • Chips to be used alongside Nvidia's offerings, not as a complete replacement

  • Anticipated mass production in 2024

  • Increased capacity and lower costs could make AI more accessible to consumers

Check out these AI Apps 👇

  • 🧪 Testportal - transforms your material into quizzes or tests in seconds, not hours!

  • 🤖 Taxy AI - GPT-4 powered browser automation tool that streamlines repetitive tasks!

That wraps up today's edition!

If you come across any exciting projects or breakthroughs, feel free to get in touch by replying to this email or connecting with us on Twitter 🐦