Charbax | Qualcomm X Elite Laptops at Computex 2024, with Davinci Resolve, Chrome, ecosystem, performance @charbax | Uploaded June 2024 | Updated October 2024, 1 week ago.
At Computex 2024, Qualcomm showcased their upcoming Snapdragon X Elite laptops, set to hit the market on June 18th. PJ Jacobowitz from Qualcomm introduced these laptops as the ultimate Arm Laptops, the best Arm-based processors for Windows, emphasizing their superior performance, exceptional battery life, and the inclusion of the world’s fastest NPU for laptops. This NPU enhances AI features in Windows apps, making the devices not only powerful but also incredibly efficient, cool, and silent. Major manufacturers like Samsung, Microsoft Surface, HP, and Lenovo will be releasing these laptops, offering a variety of designs including the sleek Yoga and the robust ThinkPad.
The new Orion CPU in the Snapdragon X Elite promises outstanding performance with remarkable power efficiency, ensuring the laptops remain cool and quiet even during intensive tasks. This allows for extended battery life and a comfortable user experience. Various models will feature high-resolution OLED displays with over a billion shades of color, appealing to both creative professionals and general users. The laptops are designed to handle prolonged usage, especially for tasks like video calls and productivity applications, without compromising on performance.
One of the highlights of the presentation was the demonstration of hardware-accelerated app support, particularly for AI-driven applications. Julia showcased how AI features like Magic Mask in Davinci Resolve now run significantly faster on the NPU compared to traditional GPU processing. This improvement allows for real-time object identification and editing, enhancing the capabilities of video editing software. Adobe Premiere and other creative software like Vegas and Avid will also be natively supported on Snapdragon, broadening the scope of professional-grade tools available on these laptops.
The event featured a live demonstration of an innovative audio tool by Algorithm, which uses a neural network to isolate and manipulate individual elements within a song in real time. This technology, available in the Windows store, exemplifies the potential of on-device AI processing to deliver high-quality audio editing quickly and efficiently. Such advancements in AI capabilities underline the versatility and power of the Snapdragon X Elite platform, making it a compelling choice for creative professionals.
In addition to creative applications, the laptops are optimized for a wide range of popular apps, ensuring smooth performance across various use cases. Microsoft and Qualcomm have tested over 300 applications to ensure compatibility, with day-one support for full Chrome and a suite of enterprise applications. The presentation also highlighted the benefits for graphic designers and architects, with full support for Adobe Suite, including Lightroom and Photoshop, as well as tools for 3D game design and other professional software.
Qualcomm's collaboration with Microsoft extends to the development of new NPU tools and the Qualcomm AI Hub, which offers developers access to over 100 AI models. This platform allows for the rapid deployment and optimization of custom neural networks, enabling developers to create high-performance AI-driven applications efficiently. The AI Hub facilitates the development of sophisticated applications that can leverage the Snapdragon X Elite’s powerful AI capabilities, making it an attractive option for software developers.
Another key feature demonstrated was the seamless integration of Microsoft’s Co-Pilot Plus, fully hardware-accelerated on the Snapdragon X Elite. This includes live captions and translation features for video calls, enhancing communication and accessibility. The Surface devices with Snapdragon X Elite showcased their capability to handle advanced tasks with ease, supported by features like OLED displays and extensive connectivity options, including USB 4 and potentially Thunderbolt support.
Finally, the presentation highlighted the versatility and adaptability of the Snapdragon X Elite platform, from gaming to professional applications. The laptops demonstrated impressive thermal management, maintaining performance without overheating. Qualcomm also showcased their AI-powered code generation tools, which significantly speed up development processes by generating code in real time. Overall, the Snapdragon X Elite laptops represent a significant leap forward in ARM-based Windows devices, offering unparalleled performance, efficiency, and AI capabilities.
Description by Chatgpt.
This video was filmed at Computex 2024 in Taipei Taiwan, check out all my Computex videos here: youtube.com/playlist?list=PL7xXqJFxvYvi-qyXBzlB6Wz6PNE8AafRP
My Early Access Members get full access to all my videos as I upload them nightly youtube.com/charbax/join before they are published are the rate of 3-5 videos per day in the days following the event.
At Computex 2024, Qualcomm showcased their upcoming Snapdragon X Elite laptops, set to hit the market on June 18th. PJ Jacobowitz from Qualcomm introduced these laptops as the ultimate Arm Laptops, the best Arm-based processors for Windows, emphasizing their superior performance, exceptional battery life, and the inclusion of the world’s fastest NPU for laptops. This NPU enhances AI features in Windows apps, making the devices not only powerful but also incredibly efficient, cool, and silent. Major manufacturers like Samsung, Microsoft Surface, HP, and Lenovo will be releasing these laptops, offering a variety of designs including the sleek Yoga and the robust ThinkPad.
The new Orion CPU in the Snapdragon X Elite promises outstanding performance with remarkable power efficiency, ensuring the laptops remain cool and quiet even during intensive tasks. This allows for extended battery life and a comfortable user experience. Various models will feature high-resolution OLED displays with over a billion shades of color, appealing to both creative professionals and general users. The laptops are designed to handle prolonged usage, especially for tasks like video calls and productivity applications, without compromising on performance.
One of the highlights of the presentation was the demonstration of hardware-accelerated app support, particularly for AI-driven applications. Julia showcased how AI features like Magic Mask in Davinci Resolve now run significantly faster on the NPU compared to traditional GPU processing. This improvement allows for real-time object identification and editing, enhancing the capabilities of video editing software. Adobe Premiere and other creative software like Vegas and Avid will also be natively supported on Snapdragon, broadening the scope of professional-grade tools available on these laptops.
The event featured a live demonstration of an innovative audio tool by Algorithm, which uses a neural network to isolate and manipulate individual elements within a song in real time. This technology, available in the Windows store, exemplifies the potential of on-device AI processing to deliver high-quality audio editing quickly and efficiently. Such advancements in AI capabilities underline the versatility and power of the Snapdragon X Elite platform, making it a compelling choice for creative professionals.
In addition to creative applications, the laptops are optimized for a wide range of popular apps, ensuring smooth performance across various use cases. Microsoft and Qualcomm have tested over 300 applications to ensure compatibility, with day-one support for full Chrome and a suite of enterprise applications. The presentation also highlighted the benefits for graphic designers and architects, with full support for Adobe Suite, including Lightroom and Photoshop, as well as tools for 3D game design and other professional software.
Qualcomm's collaboration with Microsoft extends to the development of new NPU tools and the Qualcomm AI Hub, which offers developers access to over 100 AI models. This platform allows for the rapid deployment and optimization of custom neural networks, enabling developers to create high-performance AI-driven applications efficiently. The AI Hub facilitates the development of sophisticated applications that can leverage the Snapdragon X Elite’s powerful AI capabilities, making it an attractive option for software developers.
Another key feature demonstrated was the seamless integration of Microsoft’s Co-Pilot Plus, fully hardware-accelerated on the Snapdragon X Elite. This includes live captions and translation features for video calls, enhancing communication and accessibility. The Surface devices with Snapdragon X Elite showcased their capability to handle advanced tasks with ease, supported by features like OLED displays and extensive connectivity options, including USB 4 and potentially Thunderbolt support.
Finally, the presentation highlighted the versatility and adaptability of the Snapdragon X Elite platform, from gaming to professional applications. The laptops demonstrated impressive thermal management, maintaining performance without overheating. Qualcomm also showcased their AI-powered code generation tools, which significantly speed up development processes by generating code in real time. Overall, the Snapdragon X Elite laptops represent a significant leap forward in ARM-based Windows devices, offering unparalleled performance, efficiency, and AI capabilities.
Description by Chatgpt.
This video was filmed at Computex 2024 in Taipei Taiwan, check out all my Computex videos here: youtube.com/playlist?list=PL7xXqJFxvYvi-qyXBzlB6Wz6PNE8AafRP
My Early Access Members get full access to all my videos as I upload them nightly youtube.com/charbax/join before they are published are the rate of 3-5 videos per day in the days following the event.
![Fraunhofer IIS embeddif.[ai] Worlds Smallest AI at Embedded World 2024 #ew24](https://i.ytimg.com/vi/eSjFRkrNlOQ/hqdefault.jpg "Fraunhofer IIS embeddif.[ai] Worlds Smallest AI at Embedded World 2024 #ew24
The embedded world of 2024 showcases a groundbreaking development with the unveiling of the worlds smallest AI unit, brought to life by Fraunhofer IISs embeddif.ai. The event features an impressive presentation by Maximilian Kasper, who delves into the unique capabilities of this tiny AI solution. The star of the show is a compact computing unit capable of running complex AI models, demonstrating a new level of embedded artificial intelligence.
The small computing unit is based on an ARM Cortex M7 processor, a well-known architecture for embedded systems, usually seen in microcontrollers. This AI units impressive feature is its ability to run an AI model called Tiny YOLO, designed for real-time object detection. Kasper demonstrates how this small AI system can detect and identify people using a camera connected to the unit. Despite its tiny size, the system manages to process images at nearly 5 frames per second, with a resolution of 128x128 pixels, showcasing its high efficiency.
Another significant aspect of this AI unit is its efficient use of embedded C code, optimized for the Cortex M7. This allows the system to fully utilize the processors capabilities, ensuring maximum performance. Alongside this demonstration, different setups showcase varied applications of the technology. One demo illustrates on-device training, where the same hardware setup can classify images of animals. The AI can detect a cow or a dog, displaying its predictions on a small screen. This adaptability opens up a range of possibilities for edge computing applications, where AI can operate without the need for a central server.
The flexibility to train on-device is one of the most innovative aspects of this tiny AI system. This is particularly useful for applications where a central server isnt feasible or real-time training is required. Kasper explains that the training data is supplied through a small SD card, which contains the ground truth information for several images. The on-device training uses backpropagation and stochastic gradient descent, all processed directly within the AI unit. This capability to perform training on the device distinguishes this technology from other AI solutions that require pre-trained models deployed from external sources.
Despite its size, the AI units power requirements are relatively high, which is expected given the complex computations involved in training and running AI models. During the event, Kasper demonstrated an untrained model, which often misclassified objects, showing that proper training is essential for accurate predictions. This underlines the importance of reliable training data and efficient learning algorithms for successful AI deployment in embedded systems.
In summary, the worlds smallest AI unit by Fraunhofer IIS at Embedded World 2024 introduces a new realm of possibilities for embedded AI. With its compact design, powerful ARM Cortex M7 processor, and ability to run and train AI models on-device, this technology has the potential to revolutionize embedded applications. Its use of embedded C code, optimized for the processor, ensures high performance and efficiency, while the capacity to train on-device offers flexibility in various scenarios. The potential applications are vast, from smart sensors to real-time object detection, marking a significant leap in embedded AI technology.
Watch all my videos from the Embedded World 2024 here: https://www.youtube.com/playlist?list=PL7xXqJFxvYvjgUpdNMBkGzEWU6YVxR8Ga
Description by Chatgpt.
This video was filmed using the DJI Pocket 3 ($669 at https://amzn.to/4aMpKIC), watch all my DJI Pocket 3 videos here https://www.youtube.com/playlist?list=PL7xXqJFxvYvhDlWIAxm_pR9dp7ArSkhKK
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