The HTC Beijing Research Center is seeking to accelerate the pace of scientific research and development to innovate computing algorithms for creating AR/VR platform with experiences of immersion and interactivity. The center reports directly to Dr. Edward Chang (張智威), Head of HTC Research. Edward was the Director of Google Research in China from 2006 to 2012. Before that, he was a full professor of Electrical Engineering at the University of California, Santa Barbara (UCSB). He joined UCSB in 1999 after receiving his PhD from Stanford University. He is a recipient of the NSF Career Award and Google Innovation Award. Edward is an IEEE Fellow for his contributions to scalable machine learning.
2017/09/23 (六) 18:30 to 21:30 ＠ 清华大学FIT楼二楼多功能厅
2017/09/24 (日) 13:30 to 17:00 ＠ 中国科学院大学中关村校区教学楼S206
嘉宾：Edward Chang, HTC Research总裁，前谷歌研究院院长
最近的人工智能复兴并非来自于基本算法的突破，而是源于数据规模和计算规模的增长。我很荣幸，自2006年以来，我在Google和HTC的团队一直在参与AI的复兴。 在这次演讲中，我将首先解释为什么我的团队在2006年开始采用数据驱动的深度学习方法。 在2010年，我们资助了李飞飞教授在斯坦福大学的ImageNet项目26万美元。随后在2011年，我的团队提交了两个数据驱动的深度学习专利，一个是数据驱动的特征提取，另一个是数据驱动的物体识别。我们并行了五种广泛使用的机器学习算法，包括SVM，PFP，LDA，光谱聚类和CNN，并开源了所有这些算法，至今已经被下载3万余次。 在演讲中，我还会讨论AlphaGo和GANs最近的成功经验和不足，以及在应用于现实世界情景时的局限性。我还将分享我们在医疗保健和计算机视觉领域，遇到训练数据不足时面临的挑战和解决的方法。最后我将总结人工智能当前面临的挑战和机遇，并展望未来的发展方向。
Short Bio Edward Chang currently serves as the President of Research and Healthcare (DeepQ) at HTC. Ed’s most notable work is co-leading the DeepQ project (with Prof. CK Peng at Harvard), working with a team of physicians, scientists, and engineers to design and develop mobile wireless diagnostic instruments. Such instruments can help consumers make their own reliable health diagnoses anywhere at any time. The project entered the Tricorder XPRIZE competition in 2013 with 310 other entrants and was awarded second place in April 2017 with 1M USD prize. The deep architecture that powers DeepQ is also applied to power Vivepaper, an AR product Ed’s team launched in 2016 to support immersive augmented reality experiences (for education, training, and entertainment).
Prior to his HTC post, Ed was a director of Google Research for 6.5 years, leading research and development in several areas including scalable machine learning, indoor localization, social networking and search integration, and Web search (spam fighting). His contributions in parallel machine learning algorithms and data-driven deep learning (US patents 8798375 and 9547914) are recognized through several keynote invitations and the developed open-source codes have been collectively downloaded over 30,000 times. His work on IMU calibration/fusion (US patents 8362949, 9135802, 9295027, 9383202, and 9625290) with project X was first deployed via Google Indoor Maps (see XINX paper and ASIST/ACM SIGIR/ICADL keynotes) and is now widely used on mobile phones and VR/AR devices. Ed’s team also developed the Google Q&A system (codename Confucius), which was launched in over 60 countries.
Prior to Google, Ed was a full professor of Electrical Engineering at the University of California, Santa Barbara (UCSB). He joined UCSB in 1999 after receiving his PhD from Stanford University. He is a recipient of the NSF Career Award and Google Innovation Award. Ed is an IEEE Fellow for his contributions to scalable machine learning.
招聘职位: Software Engineer
工作內容: Virtual/Augmented Reality Research and Development
工作地点: HTC Beijing Research Center
1. Pursuing BS/MS/PhD degree in Computer Science relevant majors
2. Strong programing skills in C/C++/C#
3. Strong problem-solving and communication skills
4. Virtual/Augmented Reality program experience is a plus
现场笔试: C/C++ programing for candidates graduating in 2018
联系方式: Please email to firstname.lastname@example.org