移动计算的未来

Jeff Gehlhaar
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引用次数: 5

摘要

Qualcomm Technologies, Inc.技术副总裁Jeff Gehlhaar将讨论移动计算的未来,这将需要更加个性化的用户体验。随着世界继续向一个更加互联的世界转变,人们正在以新的方式使用他们的移动设备,并对他们可以用这些设备做什么有更高的期望。这将导致下一个移动领域变得更加个性化,移动设备成为用户的延伸,了解你在哪里,你去过哪里,你接下来想做什么或采取什么行动。这也导致传统上通过云交付的服务和应用程序迁移到移动设备,这给移动设备带来了独特的挑战和机遇。在这次演讲中,我们将探讨高通研究公司正在开发的令人兴奋的新技术,以推进个性化设备的前沿,并帮助解决其中的一些挑战。从能对你的位置和行为做出基本预测的传感器处理开始,到大脑启发计算和嵌入式认知的研究,高通正致力于制造永远与你在一起、更智能、真正个性化的设备。为了进一步实现改变移动计算未来的愿景,高通研究公司多年来一直致力于大脑启发计算和神经网络领域的研究。早期的工作集中在受生物学启发的方法上,包括脉冲神经网络和理解大脑的复杂行为。深度神经网络行业的最新进展已经在机器学习模式匹配任务中取得了最先进的性能。随着移动soc继续获得显著的计算能力,将深度学习驱动的应用程序引入移动设备成为可能。我们将探索近期的机会,如物体识别,场景分类,智能移动相机,汽车和机器人的应用。我们还将研究大脑启发计算的其他方面,包括一种新型低功耗硬件的潜力。与Jeff一起分享他的见解,高通研究公司如何率先研究使未来的移动设备更智能,能够像人类一样以节能的方式“感知”和“看到”他们的环境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The future of mobile computing
Jeff Gehlhaar, VP of Technology for Qualcomm Technologies, Inc. will discuss the future of mobile computing which will entail a much more personalized user experience. As the world continues to shift towards a more connected world, people are using their mobile devices in new ways and having higher expectations of what they can do with those devices. This is leading to the next frontier of mobile being much more personalized with mobile devices becoming extensions of the user, understanding where you are, where you've been and what you want to do or act on next. This is also resulting in services and applications that have traditionally been delivered via the cloud, migrating to mobile which present unique challenges and opportunities in mobile. In this talk we will explore the new and exciting technologies that Qualcomm Research is working on to advance the frontier in personalized devices and help solve some of these challenges. Starting with always on sensor processing that make basic predictions about where you are and what actions you are performing, to research in brain inspired computing and embedded cognition, Qualcomm is working to make devices which are always with you, smarter and truly personal. To further this vision of transforming the future of mobile computing, Qualcomm Research has also been working in the area of brain inspired computation and neural networks for a number of years. Early work has focused on biologically inspired approaches, involving spiking neural networks and understanding the complex behaviors of the brain. Recent advances in the industry around deep neural networks have resulted in state-of-the-art performance in machine learning pattern matching tasks. As mobile SOCs continue to gain significant computational power, bringing applications powered by deep learning to mobile devices is becoming possible. We will explore the near term opportunities like object recognition, scene classification, applications for smarter mobile cameras, automotive, and robotics. We will also look at other aspects of brain inspired computing including the potential of a new kind of low power hardware. Join Jeff as he shares his insight on how Qualcomm Research has been spearheading research to make future mobile devices smarter with the ability to "sense" and "see" their environment as humans do in a power efficient manner.
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