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Qualcomm Bolsters Position in Artificial Intelligence Research, Outlines its Vision for the Future
“We started fundamental research a decade ago, and our current products now support many AI use cases from computer vision and natural language processing to malware detection on a variety of devices — such as smartphones and cars — and we are researching broader topics, such as AI for wireless connectivity, power management and photography,” said Matt Grob, executive vice president, technology, Qualcomm Incorporated.
Many companies focus on the execution of AI workloads in the cloud, but Qualcomm Technologies is focused on the implementation of AI on end devices – smartphones, cars, robotics, and the like – to ensure that processing can be done with or without a network or Wi-Fi connection. The benefits of on-device AI include immediate response, enhanced reliability, increased privacy protection, and efficient use of network bandwidth.
Qualcomm Technologies continues to push AI research forward and is bringing cutting-edge machine learning technologies to the forefront. Examples of such efforts include:
advances in neural network techniques for semi-supervised and unsupervised training like generative adversarial networks (GANs), distributed learning, and privacy protecting;
network optimization for on-device applications including compression, inter-layer optimizations, optimizations for sparsity, and other techniques to take better advantage of memory and space/time complexity;
and specialized hardware architectures designed to accelerate machine learning workloads with greater performance and energy efficiency in embedded devices.
The acquisition of Scyfer brings with it a founder and renowned professor at the University of Amsterdam, Dr. Max Welling, which will help to further advance AI research and development at Qualcomm Technologies. Dr. Welling will continue his role as a professor at the University of Amsterdam, and the rest of the Scyfer team will continue to be based in Amsterdam. In 2015, Qualcomm Technologies and the University of Amsterdam also established QUVA, a joint research lab focused on advancing the cutting-edge machine learning techniques for mobile and computer vision. Qualcomm Technologies is excited to continue to work with the University of Amsterdam going forward, underscoring the importance of educating future generations in this important field.
More information on Qualcomm and its artificial intelligence technologies can be found at https://www.qualcomm.com/invention/cognitive-technologies/artificial-intelligence.
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