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Source channel @githubtrending · Post #14659 · May 1

#cplusplus#arm#convolution#deep_learning#embedded_devices#llm#machine_learning#ml#mnn#transformer#vulkan#winograd_algorithm MNN is a lightweight and efficient deep learning framework that helps run AI models on mobile devices and other small devices. It supports many types of AI models and can handle tasks like image recognition and language processing quickly and locally on your device. This means you can use AI features without needing to send data to the cloud, which improves privacy and speed. MNN is used in many apps, including those from Alibaba, and supports various platforms like Android and iOS. It also helps reduce the size of AI models, making them faster and more efficient. https://github.com/alibaba/MNN

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Venture Village Wall 🦄

@venturevillagewall · Post #3859 · 01/12/2025, 10:00 PM

Top Tech Announcements from CES 2025 🔍CES 2025 Highlights: 1. Roborock & Dreame: New vacuum robots with robotic arms, lifting items up to 500g. 2. Lenovo: Introduced ThinkBook Plus Gen 6 with expandable OLED display, from 14 to 16.7 inches. 3. Nvidia: Launched RTX 50 series, featuring DLSS 4 for significant performance boosts. 4. SwitchBot: Unveils modular robot K20 Plus Pro, combines various home tasks. 5. Razer: Debuted Project Ava, a real-time gaming assistant chat-bot. 6. Dell: Introduced a 32-inch QD-OLED monitor that adapts sound to user's head position. 7. TCL: Showcases Ai Me, a companion robot with interactive features. 8. Based Hardware: Reveals Omi, a wearable device with a neuro-helper powered by GPT-4. 9. Withings: Presents the Omnia smart mirror, integrating health data from wearables. 10. Halliday: Launches smart glasses with real-time translation capabilities. #CES2025#TechAnnouncements#Robots#AI#Nvidia#Gaming#Wearables#SmartHome#Lenovo#Roborock#Dreame#Razer#Dell#TCL#SmartGlasses#HealthTech#Innovations#Gadgets#VR#ComputerHardware#VC