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Sync Meta AI with Health Connect on Android

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Meta AI’s Android app now offers direct integration with Health Connect, making it possible to sync and share health and fitness data from a variety of sources for smarter wellness insights and AI-powered recommendations.  Why Use Health Connect with Meta AI? Health Connect acts as a secure hub for all your health and wellness data on Android by allowing compatible apps to share information. This makes it easier for Meta AI to gather data from fitness trackers, step counters, sleep monitors, and nutrition apps, creating a more personalized user experience. The most reliable method is to sign up to the Health Connect beta directly from the Google Play Store. After installation, swipe down to access Android’s quick settings, and add the Health Connect shortcut tile for faster access and data management. This step ensures convenient permission management and lets you quickly check data sync status or privacy controls. Meta AI can now read relevant health dat...
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Project G-Assist

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NVIDIA has officially launched Project G-Assist, an AI assistant designed to enhance the PC experience for gamers and creators alike. 

Initially teased as an April Fool's joke in 2017, G-Assist has now become a reality, offering a suite of features aimed at optimizing system performance and user convenience. 

G-Assist provides real-time diagnostics to identify and alleviate system bottlenecks, improve power efficiency, and optimize game settings. Users can request performance metrics such as FPS, latency, GPU utilization, and temperature, and receive tailored recommendations.

The assistant can manage settings for supported peripherals from brands like Logitech G, Corsair, MSI, and Nanoleaf, allowing users to adjust lighting and fan speeds through simple commands. 

Unlike cloud-based AI models, G-Assist operates entirely on-device using a Llama-based Small Language Model (SLM) with 8 billion parameters. This ensures responsive performance without the need for an internet connection or subscription.

System Requirements:

To utilize G-Assist, users need a GeForce RTX 30, 40, or 50 Series Desktop GPU with at least 12GB of VRAM, running on Windows 10 or 11. The installation requires 6.5GB of disk space for the System Assistant and an additional 3GB for Voice Commands. 

Project G-Assist is available for download through the NVIDIA app's Discover section. Once installed, users can activate the assistant by pressing Alt+G. As an experimental feature, NVIDIA welcomes user feedback to guide future improvements and feature developments. 

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