![]() Such unprecedented growth of IoT, interaction devices and mobile computing adoption calls for intelligent data-driven computation and decision-making frameworks to abstract these heterogeneous yet complementary raw sensor data into actionable information and meaningful knowledge. Sensor and wearable technology with their respective modality of information Nonetheless, advances in computing, communication, social-interaction, and Web technologies, as well as embedded, fixed, and mobile sensors and devices with internet presence - commonly referred to as Internet of Things (IoT), are redefining the way that humans interact with computers. Numerous breakthroughs such as the Google Duplex ( ), an AI assistant that is capable of impersonating verisimilitudinous phone conversations, have led to praise as well as incredulity among technology enthusiasts. Colloquially, AI can be loosely described as a machine mimicking cognitive abilities that humans exhibit fundamentally such as learning and problem solving. Startups and tech giants continue to forge ahead in applying AI in diverse domains spanning speech recognition ( ), image classification ( ), recommendation systems ( ), and internet search ( ). New boundaries are being pushed daily, ranging from winning against the world’s best Go player ( ) to self-driving and autopilot capabilities ( ). ![]() It is one of the most important investment priorities ( ) and has been at the forefront of recent technological disruptions. During this decade, Artificial Intelligence (AI) has established itself as a phenomenon in our daily life.
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