New Qualcomm AI Hub Launched at MWC 2024: Revolutionizing Artificial Intelligence

Mobile World Congress, MWC Barcelona

Qualcomm Technologies, Inc. made a significant announcement about its latest advancements in artificial intelligence (AI) at Mobile World Congress (MWC) Barcelona. The company showcased its AI technologies, including the Qualcomm AI Hub, research breakthroughs, and a range of AI-enabled devices. These developments are set to empower developers and revolutionize user experiences across various devices powered by Snapdragon and Qualcomm platforms.

Durga Malladi, Senior Vice President and General Manager of Technology Planning and Edge Solutions at Qualcomm Technologies, expressed excitement about the progress made in on-device AI with Snapdragon 8 Gen 3 for smartphones and Snapdragon X Elite for PCs. Malladi stated that the Qualcomm AI Hub will enable developers to fully harness the potential of these technologies and create captivating AI-enabled apps. The AI Hub offers a comprehensive library of pre-optimized AI models that can be seamlessly integrated into applications, resulting in faster and more reliable user experiences.

The Qualcomm AI Hub includes over 75 popular AI and generative AI models, such as Whisper, ControlNet, Stable Diffusion, and Baichuan 7B. These models are optimized for superior on-device AI performance, lower memory utilization, and improved power efficiency across different form factors. The models take advantage of hardware acceleration across all cores within the Qualcomm AI Engine, resulting in four times faster inferencing times. Developers can integrate these models into their applications, reducing time-to-market and unlocking the benefits of on-device AI implementations.

The optimized models are available on the Qualcomm AI Hub, GitHub, and Hugging Face. The library will continue to expand with new models, along with upcoming support for additional platforms and operating systems. Developers can sign up today to run the models on cloud-hosted devices based on Qualcomm Technologies’ platforms and gain early access to new features and AI models through the Qualcomm AI Hub.

Clement Delangue, Co-founder and CEO of Hugging Face, expressed enthusiasm about hosting Qualcomm Technologies’ AI models on their platform. Delangue believes that these models, optimized for on-device machine learning and ready to use on Snapdragon and Qualcomm platforms, will enable the next generation of mobile developers and edge AI applications, making AI more accessible and affordable for everyone.

Qualcomm AI Research showcased several advancements at MWC Barcelona. For the first time on an Android smartphone, the company demonstrated the Large Language and Vision Assistant (LLaVA), a multimodal model capable of accepting text and image inputs and generating multi-turn conversations with an AI assistant about an image. This model runs on-device at a responsive token rate, ensuring enhanced privacy, reliability, personalization, and cost-effectiveness.

Another notable research advancement is the Low Rank Adaptation (LoRA) demonstrated on an Android smartphone. With Stable Diffusion and LoRA, users can create high-quality custom images based on personal or artistic preferences. LoRA reduces the number of trainable parameters of AI models, enabling greater efficiency, scalability, and customization of on-device generative AI use cases.

On a Windows PC, Qualcomm AI Research showcased a world’s first on-device demonstration of a multimodal model that accepts text and audio inputs and generates multi-turn conversations about the audio.

Qualcomm Technologies also exhibited a range of flagship commercial AI smartphones powered by the Snapdragon 8 Gen 3 Mobile Platform, including the HONOR Magic6 Pro, OPPO X7 Ultra, and Xiaomi 14 Pro. These devices feature exciting generative AI capabilities such as AI-generated image expansion, AI-powered video creation, AI-powered calendar creation, and image object eraser.

In the PC category, Qualcomm showcased the Snapdragon X Elite with its 45 TOPS NPU designed for on-device AI. Using the popular image editor GIMP with the Stable Diffusion plug-in, Qualcomm demonstrated how generative AI can create an image in just seven seconds, three times faster than x86 competitors.

In the automotive sector, Qualcomm leveraged its industry-leading AI hardware and software solutions to demonstrate traditional and generative AI capabilities with the Snapdragon Digital Chassis Platform. The goal is to deliver more powerful, efficient, private, safer, and personalized experiences for drivers and passengers.

The company also showcased Humane’s AI Pin, a device that runs on a Snapdragon platform and offers users the ability to take AI with them everywhere in a conversational and screenless form factor.

Qualcomm’s connectivity solutions were not left behind. The Snapdragon X80 Modem-RF System, integrated with a second-generation 5G AI processor, enhances cellular performance, coverage, Latency, and power efficiency. Additionally, Qualcomm introduced the Qualcomm FastConnect 7900 Mobile Connectivity System, the first AI-optimized Wi-Fi 7 system. This system leverages AI to deliver adaptable, high-performance, low-latency, and low-power local wireless connectivity.

Finally, Qualcomm Technologies showcased three AI-based enhancements for network management in the 5G infrastructure space. These enhancements include a generative AI assistant for radio access network (RAN) engineers to simplify network and slice management tasks, an AI-based open RAN application (rApp) that reduces network energy consumption, and an AI-based 5G network slice lifecycle management suite.

For more information on Qualcomm Technologies’ AI innovations and demonstrations, visit their website or stop by their booth at MWC Barcelona for a hands-on experience (Booth #3E10, Hall 3, Fira Gran Via).

Background Information

---

About Qualcomm:

Qualcomm, a leading American global semiconductor and telecommunications equipment company, has played a pivotal role in shaping the modern technology landscape. Founded in 1985, Qualcomm has been at the forefront of innovation, particularly in the realm of mobile communications and wireless technology. The company's advancements have been instrumental in the evolution of smartphones, powering devices with their Snapdragon processors that deliver exceptional performance and efficiency. With a strong commitment to research and development, Qualcomm has enabled the growth of 5G technology, paving the way for faster and more connected experiences.

  

Latest Articles about Qualcomm

Event Info

---

About Mobile World Congress:

Mobile World Congress (MWC) is a globally recognized and influential annual event held primarily in Barcelona, Spain, but with some editions in other locations. As one of the largest gatherings in the mobile and telecommunications industry, MWC attracts a diverse array of participants, including mobile device manufacturers, telecommunications companies, software developers, and tech enthusiasts. It serves as a critical platform for unveiling the latest mobile technologies, smartphones, network infrastructure, and innovations, often featuring major product launches and announcements.

  

Latest Articles about Mobile World Congress

Technology Explained

---

Latency: Technology latency is the time it takes for a computer system to respond to a request. It is an important factor in the performance of computer systems, as it affects the speed and efficiency of data processing. In the computer industry, latency is a major factor in the performance of computer networks, storage systems, and other computer systems. Low latency is essential for applications that require fast response times, such as online gaming, streaming media, and real-time data processing. High latency can cause delays in data processing, resulting in slow response times and poor performance. To reduce latency, computer systems use various techniques such as caching, load balancing, and parallel processing. By reducing latency, computer systems can provide faster response times and improved performance.

Latest Articles about Latency

---

NPU: NPU, or Neural Processing Unit, is a type of specialized processor that is designed to handle complex artificial intelligence tasks. It is inspired by the structure and function of the human brain, with the ability to process and analyze large amounts of data simultaneously. In the computer industry, NPU technology is being used in various applications such as speech recognition, image and video processing, and natural language processing. This allows computers to perform tasks that were previously only possible for humans, making them more efficient and intelligent. NPU technology is also being integrated into smartphones, self-driving cars, and other devices, making them smarter and more responsive to user needs. With the increasing demand for AI-driven technology, the use of NPU is expected to grow and revolutionize the way we interact with computers in the future.

Latest Articles about NPU

---

Snapdragon: The Snapdragon processor is a cutting-edge technology developed by Qualcomm Technologies, Inc. It is a powerful and efficient mobile processor that is used in many of today's smartphones, tablets, and other mobile devices. Snapdragon processors are also used in some computers, providing a powerful and efficient computing experience. Snapdragon processors are designed to provide a high level of performance, while also being energy efficient. They are used in a variety of applications, including gaming, virtual reality, and artificial intelligence. Snapdragon processors are also used in many of today's laptops, providing a powerful and efficient computing experience. The Snapdragon processor is a great choice for those looking for a powerful and efficient processor for their computer.

Latest Articles about Snapdragon

---

Stable Diffusion: Stable Diffusion is a technology that is used to improve the performance of computer systems. It is a process of spreading out the load of a system across multiple processors or cores. This helps to reduce the amount of time it takes for a system to complete a task, as well as reduce the amount of energy used. Stable Diffusion is used in many areas of the computer industry, such as in cloud computing, distributed computing, and high-performance computing. It is also used in gaming, where it can help to reduce the amount of time it takes for a game to load. Stable Diffusion is also used in artificial intelligence, where it can help to improve the accuracy of machine learning algorithms.

Latest Articles about Stable Diffusion