湾区同学技术沙龙

(Bay Area) 技术创造新商业:阿里巴巴搜索推荐&计算平台事业部硅谷开放日

15 April 2018

12:30PM ~ 6:00PM, 04/15/2018, Sunday

Description

2018年4月15日,我们 Silicon Valley Tech Meetup 非常高兴的邀请到了 阿里巴巴集团 搜索推荐事业部&计算平台事业部 总裁周靖人先生携核心管理团队来到硅谷阿里开放日活动,届时将就大数据计算,技术变革商业等实践探索做现场分享,诚邀业内同行莅临会场与大家探讨交流。

阿里巴巴推荐与搜索引擎平台支持包括淘宝、天猫、优酷乃至海外电商在内整个阿里集团的推荐与搜索的业务,该平台拓展支持各种深度学习网络预测的灵活拆分,支持超TB的模型,驱动构计算、实时计算以及深度学习训练平台发展,不断追求效率的极致为用户提供更好的的商业体验。更重要的是,搜索事业部还拥有多项世界领先的算法技术,是阿里巴巴技术驱动商业变革的核心引擎。

阿里计算平台是阿里巴巴集团数据平台的基础技术设施,提供一站式数据采集、加工、分析、挖掘的平台服务,及完善的配套数据开发、数据管理工具,支持离线分布式计算、在线流计算、图计算、实时多维分析、机器学习、深度学习等多种业界领先的计算服务。对外支撑阿里云全套大数据服务(数加),对内作为集团统一的数据仓库支撑阿里巴巴集团、蚂蚁金服、菜鸟的数据集市,是业界排名第一的大数据服务平台。

今天我们非常荣幸的请到了近十位阿里巴巴的技术高管和技术负责人和我们齐聚一堂,共同探讨搜索推荐与计算平台技术的未来。

Registration

Join tech-meetup community:

Event Info

  • Time: 12:30PM ~ 6:00PM, 04/15/2018, Sunday
  • Location: Plug and Play Tech Center, 440 North Wolfe Road Event Center, Sunnyvale, CA 94085
  • Language: Chinese & English

Agenda

  • 12:30-1:15 Check-In and Networking
  • 1:15-1:45 Alibaba Technology Overview By Zhou,Jingren (VP, Head of the Dept of Search and Computing Platform)
  • 1:45-2:05 Big Data in Alibaba: Evolution, Challenges and Opportunities By Guan,Tao (Senior Staff Engineer, Computing platform Maxcompute Leader)
  • 2:05-2:30 Scaling Alibaba’s real time infrastructure for Global Shopping Holiday By Jiang,Xiaowei (Principal Engineer, senior director for real time computing)
  • 2:30-2:50 Alibaba Platform of AI By Lin,Wei (Principal Engineer,Senior Director of Albiaba Platform of AI)
  • 2:50-3:30 Q&A, Free Discussion Hosted By Qian Zhengping (Senior Staff Engineer, Graph Computing leader)
  • 3:30-4:00 Booming ecology by Combining Technology and Business-Introduction of Search and Recommandations By Wang Mingqiang (Researcher, Search Product Leader)
  • 4:00-4:30 The application and challenge of AI in search and recommendation By Wang Zhirong (Principal Engineer, Algorithmic Technology)
  • 4:30-5:00 Big Data DL at Runtime By Shen Jiaxiang (Distinguished Engineer, Engineering Technology Leader)
  • 5:00-6:00 Panel Discussion, Hosted by Qian Zhengping (Senior Staff Engineer, Graph Computing leader)

Speakers

主办

协办

  • 南京大学湾区校友会
  • 东南大学硅谷校友会
  • 中国科大硅谷校友会
  • 中国科技大学校友会创业俱乐部
  • 北加州清华校友会
  • 硅谷新创汇
  • 硅谷新科技学院
  • 硅谷清华联网
  • 浙江大学校友会海纳创新创业俱乐部
  • 北京大学北加州校友会
  • 武汉大学北加州校友会
  • 吉林大学硅谷校友会
  • 复旦大学北加州校友会
  • 华南理工大学美国校友会
  • 北加州华中科技大学校友会
  • 北京航空航天大学硅谷校友会
  • 北京邮电大学北美校友会
  • 上海交通大学硅谷校友会
  • 兰州大学北加州校友会
  • 电子科技大学硅谷校友会
  • 安徽大学北美校友会
  • 湖南大学北美校友会
  • 湘潭大学北美校友会
  • 哈工大硅谷校友会
  • 中山大学海外校友联网
  • 硅谷天津大学校友会
  • 华人事业互助会
  • 长城会 RobotX Space
  • 瀚海硅谷科技园

(Bay Area) Google Translate助力自然语言理解

24 March 2018

1:30PM ~ 4:00PM, 03/24/2018, Saturday

注意:场地容量有限,为确保有兴趣的同学能听到我们的讲座,每张门票收取$5,到场的同学会全额退款。

Registration

Join tech-meetup community:

Event Info

  • Time: 1:30PM ~ 4:00PM, 3/24/2018, Saturday
  • Location: RobotX Space (Suite 300 (Floor 3), 4500 Great America Pkwy, Santa Clara, CA 95054)
  • Language: Chinese
  • Direction:

Agenda

  • 1:30pm - 2:00pm: Reception and social time
  • 2:00pm - 3:30pm: Talk and QA
  • 3:30pm - 4:00pm: offline networking

Tech Talks Abstract:

自然语言理解(NLU)是人工智能的前沿领域,而机器翻译又是弥合语言鸿沟的利器。随着深度学习技术的引入,Google 在机器翻译领域取得了长足的进展。演讲将着重阐释机器翻译深度学习模型的演进、工程实现,以及它们如何为Google 平台上的许多产品中发挥着不可替代的作用。作为拥有十亿级用户的Google Translate,支持一百多种语言互译,做为AI落地的成功应用出现在pixel buds、word lens等产品中。而Cloud AI更是通过云平台使Google顶尖的机器翻译引擎实现了共享,使得用户们可以大规模的使用,或者在其基础上进行适合各自应用场景的个性化训练。

Speaker’ bio:

田野,software engineer in Google Translate team。长期从事机器学习和数据挖掘方面的工作, 作为技术骨干在Google的多个产品中引入机器学习的解决方案。目前致力于联合Cloud AI将最新成果带给云计算用户,特别是面向企业级用户的个性化机器翻译引擎。

主办

协办

  • 硅谷新创汇
  • 南京大学湾区校友会
  • 东南大学硅谷校友会
  • 中国科大硅谷校友会
  • 北加州清华校友会
  • 硅谷清华联网
  • 浙江大学校友会海纳创新创业俱乐部
  • 北京大学北加州校友会
  • 武汉大学北加州校友恢
  • 吉林大学硅谷校友会费
  • 复旦大学北加州校友会
  • 华南理工大学美国校友会
  • 北加州华中科技大学校友会
  • 北京航空航天大学硅谷校友会
  • 北京邮电大学北美校友会
  • 上海交通大学硅谷校友会
  • 兰州大学北加州校友会
  • 电子科技大学硅谷校友会
  • 安徽大学北美校友会
  • 湖南大学北美校友会
  • 湘潭大学北美校友会
  • 哈工大硅谷校友会
  • 中山大学海外校友联网
  • 华人事业互助会
  • 长城会 RobotX Space

(Bay Area) Alibaba Tech Open Day – AI, Cloud, Infrastructure and More

30 January 2018

5:30PM ~ 9:00PM, 30/01/2018, Tuesday

Registration

Join tech-meetup community:

Event Info

  • Time: 5:30PM ~ 9:00PM, 30/01/2018, Tuesday
  • Location:The Stanford Faculty Club, 439 Lagunita Dr. Stanford, CA. 94305
  • Language: Chinese
  • Note: Food and refreshments will be served.

Agenda

  • 5:30 – Check-In and Networking
  • 6:00 – 6:20 Alibaba Technology Overview
  • 6:20 – 6:40 Inside Alibaba Cloud: Lessons, Challenges and Opportunities in Cloud Storage by Jason Wu
  • 6:40 – 7:00 Heterogeneous computing and optimization at Alibaba by Weifeng Zhang
  • 7:00 – 7:20 Cainiao Network: Tech Driven Smart Logistics by Hongwei Ding
  • 7:20 – 7:40 AI in E-commerce Search and Recommendation by Bo Zheng
  • 7:40 – 8:00 Data Enabling Platform by Hongxia Yang
  • 8:00 – 8:20 ASCP: Smart Supply Chain by Yuming Deng
  • 8:20 – 8:40 Self-driving Heterogeneous Database Platform by Minggang Yu
  • 8:40 – 9:00 Free Discussion

Speakers Bios

  • Jiesheng(Jason) Wu, Principle Engineer, Alibaba Cloud

Jiesheng (Jason) Wu is a principle engineer of engineering at Alibaba leading the development of Alibaba storage infrastructure and Cloud Storage services. In 2014, he joined Alibaba Cloud Seattle office. Before coming to Alibaba, Jason joined Microsoft Azure storage team in 2008 and was a principal development manager leading the development of Azure storage. In 2004, he joined Ask.com and worked as a senior manager on the search infrastructure and the Crawler system. From 1996 to 1999, he worked as a research engineer on the development of Dawning-series supercomputer systems at National Center for Intelligent Computing system (NCIC), Institute of Computing Technology (ICT). Jason received his Ph.D. in Computer Science from The Ohio State University in 2004.

  • Weifeng Zhang, Principle Engineer, Alibaba Infrastructure Services

Weifeng Zhang is a Principal Engineer / Senior Director at Alibaba Infrastructure Services Group, interested in heterogeneous acceleration for machine learning. Prior to joining Alibaba, Weifeng was a director of engineering at Qualcomm, leading mobile GPU compilation and optimization for world-class performance and power efficiency. Weifeng received a B.S. in electrical engineering from Wuhan University China, and Ph.D in computer science & engineering from University of California San Diego. Dr. Zhang pioneered the dynamic compilation paradigm of gradual, adaptive optimizations along with the application's phased runtime behavior based on simultaneous multithreading (SMT) technology.

  • Hongwei(Phil) Ding, Senior Director, Cainiao Network

Hongwei (Phil) Ding is a senior director of data science & engineering at Cainiao Network in charge of business intelligence, data warehousing, analytics & optimization, and data product. In 2014, he joined Cainiao Network and built the data science & engineering department from scratch. Before coming to Cainiao, Hongwei was responsible for the supply chain analytics and optimization department at IBM Research, and the technical lead of IBM Global Supply Chain Innovation Center. He received the Supply Chain Excellence Award from Supply-Chain Council in 2008. Hongwei received a Ph.D. in Operations Research from INRIA France, a M.S. and B.S. from Tsinghua University.

  • Bo Zheng, Principle Engineer, Search Business Unit

Bo Zheng is a Principle Engineer / Senior Director at Alibaba Search Business Unit, response for search quality, formatting and Machine Learning. Prior to Alibaba, Bo Zheng worked at Google for 11 years, leading display ads quality team and China maps team. Bo Zheng received B.S. and Ph.D. in computer science & technology from Tsinghua University.

  • Hongxia Yang, Senior Staff Engineer, Data Technology and Product

Dr. Hongxia Yang is working as the Senior Staff Data Scientist and Director in Data Technology and Product Business Unit, Alibaba Group. Her interests span the areas of Bayesian statistics, time series analysis, spatial-temporal modeling, survival analysis, machine learning, data mining and their applications to problems in business analytics and big data. Current on-going projects in her team include huge dynamic multi-level heterogenous graphical model for user profiling system, large-scale distributed knowledge graph and its efficient inference for data enabling platform and general ensemble prediction framework for various revenue and costs forecasting, among several others. She used to work as the Principal Data Scientist at Yahoo! Inc and Research Staff Member at IBM T.J. Watson Research Center respectively and got her PhD degree in Statistics from Duke University in 2010. She has published close to 30 top conference and journal papers and held 9 filed/to be filed US patents and is serving as the associate editor for Applied Stochastic Models in Business and Industry. She has been been elected as an Elected Member of the International Statistical Institute (ISI) in 2017.

  • Yuming Deng, Senior Staff Engineer, Supply Chain Platform

I got my OR/IE Ph.D. degree in Univ. of Texas at Austin in 2009. After graduation I joined Amazon.com with an emphasis on algorithm design for Supply Chain & transportation optimization. I joined Tmall.com under Alibaba Group since 2014. Currently I am focused on algorithm design in Dept. of Supply Chain Platform, Alibaba Group.

  • Minggang Yu, Senior Staff Engineer, Database Business Unit

Minggang(Michael) Yu Chief Architect of heterogeneous computing for OLAP leading GPU/FPGA/ASIC acceleration for OLAP who joined Alibaba Sunnyvale office in 2017. Prior to Alibaba, Michael joined MapD in 2015 as one of major authors of MapD core engine and initial commiter to GOAI. Before that, he joined a stealth-mode startup in 2013, leading LLVM-based compiler team. From 2006 to 2013, he worked as GPU compiler engineer for Qualcomm, AMD and S3 Graphics. Michael received M.Sc. from Tongji University.

主办

(Bay Area) 通向区块链3.0的未来之路

28 January 2018

1:30PM ~ 4:00PM, 28/01/2018, Sunday

注意:场地容量有限,为确保有兴趣的同学能听到我们的讲座,每张门票收取$5,到场的同学会全额退款。

Registration

Join tech-meetup community:

Event Info

  • Time: 1:30PM ~ 4:00PM, 1/28/2018, Sunday
  • Location: Suite 300 (Floor 3), 4500 Great America Pkwy, Santa Clara, CA 95054

Agenda

  • 1:30pm - 2:00pm: Reception and social time
  • 2:00pm - 3:30pm: Talk and QA
  • 3:30pm - 4:00pm: offline networking

讲座内容概要

在刚刚过去的2017年,比特币、ICO(Initial Coin Offering,首次代币发行)分别作为区块链1.0与2.0时代“杀手级应用”迎来超新星爆发般的增长:比特币价格飚涨20倍,从年初的1000美元升至最高20000美元,全球100大数字加密货币市值首度超过6000亿美元;ICO今年前11个月代币募集资金达61.33亿,占四年来融资总额的96%。

比特币、ICO大火,寄托着全球业界与公众对区块链技术改变世界的热切憧憬,同时也折射出区块链进入3.0时代之后的关注与焦虑:区块链技术尚未穿透真实商业世界、落地应用面临种种困难和障碍、去中心化应用开发仍处于“婴幼儿期”。

ArcBlock创始人兼首席架构师冒志鸿 (Robert Mao)与ArcBlock首席科学家Flavien Charlon曾是微软欧洲的同事和工作搭档,2009年比特币诞生伊始,两人即接触研究数字加密货币,Flavien Charlon参与了最早期区块链技术开拓和创新,曾联合发明了染色币技术,是染色币实现中最有影响力的CoinPrism创始人,主导了区块链领域开源的Open Asset Protocol的制定,Robert Mao从2014年起重点研究区块链技术的非金融领域应用。据两人观察和分析,要创建成功的区块链去中心化应用,开发者和企业目前面临五大障碍:

  • 一、性能低下
  • 二、非消费者友好
  • 三、成本高昂
  • 四、平台“锁定”风险
  • 五、功能匮乏

在本次讲座上,冒志鸿将详细分析以上五大障碍,以及区块链3.0技术趋势如何来解决上述问题。

Speaker Bio

冒志鸿,前微软美国研究员、技术创新者、连续创业家。曾就职于微软研究院。现区块链应用生态服务平台ArcBlock首席架构师,美国ArcBlock Inc创始人和CEO、西雅图创业协会共同创始人、首任董事会主席。

ArcBlock(区块基石),是全球第一个专注于开发和部署去中心化应用的区块链服务平台和生态系统,是第一个区块链3.0时代的先驱。网易创办人和CEO丁磊参与早期投资并亲自担任项目顾问。除丁磊以外,公司还建立了一个阵容强大的顾问团和学术委员会。

ArcBlock提供融合区块链和云计算技术的完整解决方案,而不是单独的软件包或API集合;它还是代币经济驱动的市场,ArcBlock的‘矿工’不仅通过算力贡献,而且可以通过开发提供可重用的部件、新服务和待部署应用来获取代币奖励,促进平台正向成长、自发进化。这是由我们启动,并由整个ArcBlock社区共同建设的区块链3.0时代应用平台。

主办

协办

  • 南京大学湾区校友会
  • 东南大学硅谷校友会
  • 中国科大硅谷校友会
  • 北加州清华校友会
  • 硅谷清华联网
  • 浙江大学校友会海纳创新创业俱乐部
  • 北京大学北加州校友会
  • 武汉大学北加州校友恢
  • 吉林大学硅谷校友会费
  • 复旦大学北加州校友会
  • 华南理工大学美国校友会
  • 北加州华中科技大学校友会
  • 北京航空航天大学硅谷校友会
  • 北京邮电大学北美校友会
  • 上海交通大学硅谷校友会
  • 兰州大学北加州校友会
  • 电子科技大学硅谷校友会
  • 安徽大学北美校友会
  • 湖南大学北美校友会
  • 湘潭大学北美校友会
  • 哈工大硅谷校友会
  • 中山大学海外校友联网
  • 华人事业互助会
  • 长城会 RobotX Space

(Bay Area) Alibaba New Retail / Hema Tech Day (盒马生鲜技术日)

17 January 2018

6:00PM ~ 8:30PM,17/01/2018,Wednesday

Registration

Join tech-meetup community:

Event Info

  • Time: 6:00PM ~ 8:30PM,17/01/2018,Wednesday
  • Location:525 Almanor Ave, Sunnyvale, CA 94085
  • Language: Chinese
  • Note: food and refreshments will be served.

Agenda

  • 6:00 - 6:30pm Opening
  • 6:30 - 8:00pm Talk
  • 8:00 - 8:30 pm QA

About Alibaba New Retail

2017 is known as "the Begining of New Retail." Hema as Alibaba new retail representative business, through the use of big data, mobile Internet, intelligent networking, automation and other technologies and advanced equipment, to achieve the best match between customer flow, product portfolio and retail format.

Based on the reconstruction of the consumption patterns of the restaurant and retail industry, a brand new retail ecosystem is created by means of getting through the online APP and the offline member experience stores. It mainly focuses on fresh products and catering, and devotes itself to offering consumers One-stop "ultimate fresh" lifestyle.

Hema,An online and offline combination of efficient experience-based consumer center.

2017年被称为“新零售元年”。盒马作为阿里巴巴新零售代表性业务,通过运用大数据、移动互联、智能物联网、自动化等技术及先进设备,实现人、货、场三者之间的最优化匹配。基于对餐饮零售业消费模式的重构,以打通线上APP下单与线下会员体验店的方式打造一个全新的零售生态系统;以生鲜类商品加餐饮为主打,致力于为消费者提供一站式“极致新鲜”的生活方式。

盒马,一个线上与线下结合的高效体验式消费中心

What to Share?

Various online and offline shopping integrated scenarios: the online shopping, offline sales, combination of restaurant and supermarket, integrated warehouse and store, fast delivery.

How technical teams solve the business challenges and the stories behind the scene.

分享在盒马线上线下深度融合的场景下,在线上-线下售卖、餐饮超时合体、大仓-门店-配送一体化履约、门店面销-前置仓作业一体化管理等方面,盒马技术团队是如何解决业务挑战以及背后的一些故事。

Speaker

Ruo XI Wang, Joined Alibaba in 2008, currently serves as VP of Alibaba Group, Hema’s CTO.

Successively as Tmall product technology manager, President of Shared business unit, has led the team build a new business scenarios support system from scratch. Prior to joining Alibaba, she served as a core R & D principal at Oracle Corporation.

王曦若,花名优昙。

2008年加入阿里巴巴,现任阿里巴巴集团副总裁,盒马鲜生CTO。

先后担任天猫产品技术负责人、共享业务事业部&商家业务事业部总裁,曾多次带领团队从无到有搭建新业务场景下的支持系统。加入阿里巴巴前,曾任甲骨文公司(Oracle)R&D 核心负责人。

主办

See the index for more articles.