SEPTEMBER 20188n the last few years, the world has witnessed waves of advances in Artificial Intelligence (AI) technology. AI is already being deployed in many applications to assist humans in studying vast amounts of data to make observations, draw infer-ences or take decisions. AI algorithms have demon-strated their promise by surpassing human accuracy at some tasks such as at recognizing faces from images, predicting failure of machines, and detecting health conditions from medical data.AI algorithms are typically trained using a large collection of labeled data samples (`training data') to arrive at an inference rule also known as the model. This process of learning from data (rather than from rules explicitly programmed by a human) is called machine learning (ML). The model learnt through ML is then applied to unlabeled data samples to infer the labels.Mobile AITraditionally, both training and inference algorithms have been executed on massive servers in large data centers due to their high requirements of compute and data storage. However, in the last few years, an explosion of mobile use-cases and a rapid increase in mobile compute capabilities has opened up new possibilities. Inference algorithms are being increasingly deployed on smartphones, smart cameras and other mobile form-factors. The ubiquitous smartphone is expected to become the most pervasive AI platform in the world.On-device AI has many advantages over cloud-based AI, especially for inference. First, there is direct access to information via natural interactions with the user. Eg-facial gestures, hand movements and voice commands. In addition, contextual information such as location and recent activities of the user can be leveraged securely on the device to make accurate inferences. Added to these, are the advantages of low latency of interaction and robust behavior even when the wireless connection is disrupted.The AI-Enabled Mobile Personal DeviceWhat can we expect well-designed, AI-enabled, personal mobile devices to look and feel like? While the smartphone will continue to be the primary mobile form-factor for many years, we expect that light-weight augmented reality glasses will also start becoming popular. Users will communicate with their personal device via gestures and voice. The device, aided by its perception and knowledge of the context, will use AI to reason and provide the user with information and recommended actions to situations. Perhaps, your phone combined with additional body-worn sensors could periodically monitor your health and predict events that will need medical intervention. In a social setting, your smart glass could save you embarrassment by recognizing and reminding you of the name of a long-lost acquaintance. At the mall, your phone may instantly check whether a piece of furniture you are eyeing would fit in your living room and provide a visualization of the upgraded look. All through this, the device continuously learns to improve its own accuracy aided by observations and its owner's feedback. Since all this happens on-THE FUTURE OF AI IS MOBILEBy Ajit Rao, Senior Director - Engineering, Qualcomm India Pvt. Ltd.IN MY OPINIONIEstablished in 1985, Qualcomm is a hub of engineers, scientists and business strategist focused on a single goal ­ invent mobile technology breakthroughs
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