Exchange between Intel and universities helps narrow the gap between academia and the industry
Universities are the cradle of future technology talents, and how to introduce the latest technologies and industry trends to students to prepare them for their future careers is an important consideration among university professors. Therefore, Intel Faculty Workshop in June was intended to introduce Intel’s latest technologies and blueprints to university faculty, and what was introduced included Internet of Things (IoT) Edge Device, FPGA-enabled Innovation across Industries, 5G, Machine Learning, cloud data analysis to Intel RealSense technology and Development kits and tools were also provided to attendees for them to successfully update their curriculums and narrow the gap between academia and the industry.
Intel’s latest strategy “Virtuous Cycle of Growth” was first introduced at the workshop. A brand new wonderful experience in the era of next-generation computing enabled by billions of smart and connected devices, even more innovative digital services, and rapidly growing cloud applications driven by IoT around the world.
The speech delivered by Jason Tsai, Manager of Intel Network Infrastructure Solution Architect, at “New generation of network architecture and technology transformation”, exploring how a new generation of mobile networks integrate innovative wireless communications technologies with highly efficient smart network technologies to enable a variety of brand new applications and user experiences. 5G means not only higher speeds and higher performance but also data aggregation throughout the network for more effective device-network communications, and faster transmission of contents and data as well as sharing of various computing resources. On the other hand, effective device-network coordination is required to establish smart service awareness systems to prioritize the importance of actions and have sufficient flexibility to accommodate different devices in terms of the sharp differences between their connectivity, processing, power consumption, and transmission latency requirements. At present, efficiency, flexibility, and scalability are a trend of communications network design to address the rapid growth of users and accommodate various IoT devices including wearable devices as well as augmented reality services. Therefore, what is required is a brand new mobile communications environment and higher network efficiency.
The FPGA technology acquired by Intel by its recent acquisition of Altera Corp. also assumes an important role in Intel’s “Virtuous Cycle of Growth.” Vincent Cho, PSG FAE Manager of Intel, introduced how an x86 processor and FPGA chip combination helps Intel expand into application markets such as industrial automation and driver assistance systems based on existing ASIC chips or specialty chips. Moreover, the programmable x86/FPGA combination can be widely used in improving cloud center and datacenter architectures with a cost lower than that of existing ASIC chips and chips exclusively for commercial purposes.
Jason Wang, Manager of Intel Edge Device Solution Architect, shared Intel® Curie™ Technology – Transforming Experiences in Ways Never Seen Before, introducing Intel® Curie™ designed especially for wearable devices, consumer goods, and industrial edge products. The Intel® Curie™ module is ideal for always-on applications like social media and fitness activities. For example, Intel® Curie™ embedded in a skateboard can measure real-time data such as speed, distance, rotation, g-force, etc. Embedded in a ball, bat, or racket, Intel® Curie™ can measure ball speed, swing speed, rotation speed, etc. to analyze breaking balls.
Such data are not only shown by live game broadcasting to provide more references to viewers but also available to players and coaches to help strengthen training. Amateurs who cannot afford professional coaches can also use Intel® Curie™ to upload data to cloud service where they will receive relevant instructions and recommendations. According to Jason, Intel® Curie™ will be able to transfer the energy resulting from ball bouncing or rotating into electricity in the future, so that batteries will no longer be needed to enable more convenience, compactness, lightweight, and wider applications.
Machine learning and deep learning has been gaining increasing attention since Google announced AlphaGo. In his speech of Accelerating Machine Learning and Deep Learning with Intel Analytics Acceleration Library (Intel DAAL), Simon Li, Intel Senior Application Engineers, introduced how Intel DAAL helps developers more effectively implement machine learning models and relevant training on Intel’s hardware infrastructure. At the same time, Simon introduced Intel® Math Kernel Library, whose neural network API can be directly used by developers to significantly lower the threshold of their pursuit for machine learning.
Intel ® DAAL
The session of Driving Satisfaction of Devices with Intel® RealSense Technology introduced the technology development as well as Intel’s R200, SR300, and ZR300 cameras. Intel® RealSense 3D Camera has three lenses, a traditional lens, an infrared lens, and an infrared laser projector to measure depth of the object in front of the camera. Such visual data in conjunction with the supporting RealSense software can enable movement tracking and touch-free control to respond to facial expressions and gestures. Moreover, the RealSense SDK provides more APIs for posture recognition, face tracking, 3D scanning, scene perception, and simultaneous localization and mapping (SLAM) to effectively realize cross-platform operation, providing Intel® RealSense Camera Virtual Driver while supporting Linux, Android, OSX, and Windows. Such cross-platform APIs also provide interactive compatibility to the Robotic Operating System (ROS) to significantly facilitate robot development in the future. Lastly, Intel® RealSense Technology on Aero Drone Board, which has a 100-pin interface, can enable reprogramming and re-optimization through the FPGA on it. The motherboard peripherals support SSD storage, LTE communications networks, and RealSense vision. It runs Yocto Linux for the connectivity with many commercial aircraft controls. Intel® RealSense Technology not only helps develop the full potential out of augmented reality and virtual reality but also stimulates the imagination of futuristic technologies by academic research and development of the technology.
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