Qualcomm Expands Generative AI Capabilities With Acquisition of VinAI Division
April 3, 2025 | Qualcomm Technologies, Inc.Estimated reading time: 1 minute
Qualcomm announced the acquisition of MovianAI Artificial Intelligence (AI) Application and Research JSC (MovianAI), the former generative AI division of VinAI Application and Research JSC (VinAI) and a part of the Vingroup ecosystem. As a leading AI research company, VinAI is renowned for its expertise in generative AI, machine learning, computer vision, and natural language processing. Combining VinAI’s advanced generative AI research and development (R&D) capabilities with Qualcomm's decades of extensive R&D will expand its ability to drive extraordinary inventions.
For more than 20 years, Qualcomm has been working closely with the Vietnamese technology ecosystem to create and deliver innovative solutions. Qualcomm’s innovations in the areas of 5G, AI, IoT and automotive have helped to fuel the extraordinary growth and success of Vietnam’s information and communication technology (ICT) industry and assisted the entry of Vietnamese companies into the global marketplace.
“This acquisition underscores our commitment to dedicating the necessary resources to R&D that makes us the driving force behind the next wave of AI innovation,” said Jilei Hou, senior vice president of engineering, Qualcomm Technologies, Inc. “By bringing in high-caliber talent from VinAI, we are strengthening our ability to deliver cutting-edge AI solutions that will benefit a wide range of industries and consumers.”
Led by Dr. Hung Bui, formerly of Google DeepMind, VinAI’s generative AI team is a powerhouse of expertise in AI—from world-class research that pushes the boundaries of what’s possible to customized AI models and engineering.
Dr. Hung Bui, founder and chief executive officer, VinAI, added, “We are ready to contribute to Qualcomm’s mission of making breakthroughs in fundamental AI research and scale them across industries, including smartphones, PCs, software-defined vehicles, and more. Our team’s expertise in generative AI and machine learning will help accelerate the development of innovative solutions that can transform the way we live and work.”
Suggested Items
Imec Joins Forces with MIT’s RLE, MTL and IMES to Accelerate Personalized Healthcare
05/23/2025 | ImecImec, a leading research and innovation hub in nanoelectronics and digital technologies announced their collaboration with Massachusetts Institute of Technology (MIT), a renowned research university in advanced technology and science to research nanoelectronics-based solutions for minimally and non-invasive diagnostic devices for personalized medicine.
ESIA Statement on EU Funding for Competitiveness: A New Approach is Needed
05/09/2025 | ESIAThe European Semiconductor Industry Association (ESIA), representing the European leadership in semiconductor research, design, and manufacturing, would like to underscore the need for targeted and sustained investment to strengthen Europe’s strategic sectors.
New Database of Materials Accelerates Electronics Innovation
05/05/2025 | ACN NewswireIn a collaboration between Murata Manufacturing Co., Ltd., and the National Institute for Materials Science (NIMS), researchers have built a comprehensive new database of dielectric material properties curated from thousands of scientific papers.
Hon Hai Research Institute Demonstrates Superiority of Shallow Quantum Circuits Beyond Prior Understanding
05/05/2025 | Hon Hai Technology GroupHon Hai Research Institute (HHRI), in a milestone collaborative effort, has demonstrated that parallel quantum computation can exhibit greater computational power than previously recognized, with its research results accepted for publication in the prestigious journal Nature Communications.
New Database of Materials Accelerates Electronics Innovation
05/02/2025 | ACN NewswireIn a collaboration between Murata Manufacturing Co., Ltd., and the National Institute for Materials Science (NIMS), researchers have built a comprehensive new database of dielectric material properties curated from thousands of scientific papers.