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Qualcomm Technologies laid out its vision for ubiquitous on-device artificial intelligence (AI) complementing cloud AI. The company envisions a world in which AI makes devices, machines, automobiles, and other things much more intelligent to simplify and enrich our daily lives.
 In 2007, the company started exploring spiking neuron approaches to machine learning for computer vision and motion-control applications and later expanded the scope of the research to look not only at biologically inspired approaches but also at artificial neural networks, primarily deep learning.
Qualcomm Technologies has recently announced the acquisition of Scyfer B.V., a company affiliated with the University of Amsterdam, which is focused on cutting-edge machine learning techniques. Scyfer has built AI solutions for companies worldwide and in a number of different industries, i.e., manufacturing, health care, and finance.
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, such as 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 the following:
- Advances in neural network techniques for semi-supervised and unsupervised training like generative adversarial networks, distributed learning, and privacy protection
- Network optimization for on-device applications, including compression, interlayer optimizations, optimizations for sparsity, and other techniques to take better advantage of memory and space/time complexity
- Specialized hardware architectures designed to accelerate machine learning workloads with greater performance and energy efficiency in embedded devices
More information on the first mobile AI platform from Qualcomm Technologies can be found on the Qualcomm website.
Full article: IEEE Vehicular Technology Magazine, Volume 12, Number 4, December 2017 |
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