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AIunited.city twitter breaking 2019.18 Jian Wu

A nice review paper from MIT Lincoln lab, "AI Enabling Technologies: A Survey". arxiv.org/abs/1905.03592 @WebSciDL

recommendations firom AIunited.city and universityofstars.tv : most valuable networks linking japan with music wordlwide - musicforsdgs.com - linking everyone with AI : AIsingapore.org ; linking youth futures with everyone jack ma olympics-

recent nhkworld programs explaining connections 

AIAsianUS JY NG Fo-Fo DamoHQ2  AIRome SilkRoadWest AIMoscow DamoArctic AIDelhi Nilekani Billion iDAIBeijing Lee Li Scwarzman CCG 2Jin IR4wefEastAISingapore for everyone 1 2 @LaurenceLiew
AIMooreValley Intel Stranford IR4wefwest AIPalaceWest AIGeneva WEf ITU Unctad WTO WHO RedCross AIDhaka GAIIB.com (Gills AI bank& health a billion)AIYellowRiver Ma.J AITokyo MASOftbank 1 2 IR4WefarEast
AISeattle Microsoft Amazon AIEconomistBlack.com AITelAviv DamoDesert AIDalianAITaiwan JY Fox
 AIBoston TBL Quadirs DigMedLab WellesleyGAI AIRwanda EWTP PIhealth AfricaIIB AIDubai Milion$edu 1776mideast AIMalaysia EWTP AIBayHK Ma.P Ren.Z SophiaHumanSafe
   AILuxembourg-Monaco  AI Korea Sophie EomSamsung Chaebol AI Japan Keireketsu eg Toyota-Panasonic-Hitachi- AIPlaceEast
rsvp chris.macrae@yahoo.co.uk - survey of  AI cities in the world
in 2019 our benchmark is singapore - contact us if you believe your city is already in same premier league as singapore or if your friends want to linkin unitil it is 
=here are extracts from 7 of singapore's first programes of AI for Everyone  - the singapore team details are here

100 AI Experiments

Singapore's flagship programme to solve industries’ artificial intelligence (AI) problem statements and help industries build their own AI team:

matched funding available- as at 1 may 2019 - 30 projects apprived -related resources @astar_research

 

AI FOR EVERYONE 

here is outline of current 3 hour free introductiry couse on ai for everyone run fiortnighly in singapore- if you know of other cities running free intros please tell us chris.macrae@yahoo.co.uk

Get a comprehensive overview: how it all started to how to introduce AI to your enterprise.

We will cover:

Overview

  • AI then & now
  • What is AI?
  • Transformational trends
  • What constitutes a Data Scientist?

Machine Learning

  • The Machine Learning process
  • What is Machine Learning (ML)?
  • Five questions that Data Science answers
  • The secret of happiness
  • Machine Learning/AI tools you can use

Deep Learning

  • What are Deep Learning neural networks
  • What is an artificial neural network?
  • Training the neuron
  • Deep Learning in action

Use Cases

  • Deep Learning for image classification
  • Applying AI to Traditional Chinese Medicine (TCM)
  • Manufacturing analytics
  • IoT + analytics
  • INTEL factory analytics use case
  • AI in Telecommunications
  • Social network analysis for key influencer detection
  • Natural Language Processing (NLP)
  • Text analytics and sentiment analysis

What is next?

  • Talent Development Programmes
  • Closing thoughts

Community Lead | AI Singapore

 

expanding the AI for Kids(AI4K) Programme!

AI4K is one of the latest programmes launched by AISG recently to develop local AI talent. Aimed at upper primary school children aged 10 – 12 years old, the curriculum, which has been designed in partnership with NUS High School of Math and Science, helps the children understand machine learning concepts as well as guide them in developing solutions via Scratch and popular machine learning tools for a relatable problem they face in their daily lives.

An inaugural AI4K Boot Camp was conducted for over 60 Primary 5/6 school children on 2 February, 2019.

Collaboration with Facebook
AISG is pleased to announce that Facebook will support our AI4K programme to scale nation-wide, starting in June with a pilot for 120 children. To develop future talent in coding, what Senior Minister Tharman Shanmugaratnam called “basic language of the future,” this pilot will explore a new model: training up to 10 mid-career professionals and retirees to serve as facilitators to run the programme, under the guidance of a lead trainer. The pilot workshops in June will be held at various public libraries in Singapore.

“Facebook is committed to having a positive impact in the community as we develop the infrastructure of the future in Singapore. We are excited to partner with AI Singapore to cultivate future tech talent and intergenerational learning”

Making the AI4K programme bigger…
AISG intends to reach 10,000 school children by the end of 2022.  To achieve this, we will start with a core team of lead trainers.  The core team will maintain AI4K’s programme and refresh the curriculum to keep pace with technological trends and national education priorities. The team will later recruit and train a larger group of mid-career professionals and retirees as AI Facilitators to deliver regular AI4K sessions at community centres and public venues. To ensure consistent quality and output, the relevant facilitators will be upskilled in pedagogical foundation and facilitation skills. AISG plans to work with relevant government agencies to identify suitable candidates.

The application to be an AI Facilitator for the June AI4K pilot programme will start from 2 – 8 May. Successful applicants will be provided training on basic AI concepts and technical skills as well as relevant training on classroom management. Training will take place during the last 2 weeks of May and the AI4K Boot Camps will be conducted between mid-end June.

For more details, please visit: http://www.aisingapore.org/ai4k-trainers/

      
 

Aluminsat.com presents AI HUBZ : Zhong ::Zhong & alumni of East's biggest SDG investors: East biggest investors without known link Z; other non west G6 investors: West G6 investors

Z

Kai-Fu Lee 

ZY 

Masa-Son

Jerry Yang

Jack Ma

Schwarzman-T; Schwarzman MIT

Li Ka Shing 

Robin Li

Lei Jun 

Klaus Schwab 

EWTP  AI sme ecom

Elon Musk 

Y1

Pony Ma

Rhen Zhengfei 

 

 Y2 1

Eduardo Saverin Brazilian co-fpunder FB- renounced US cit; Velos Fund 

Robert & Philip Ng  FEO & Sino Group

Goh Cheng Liang Wuthelam Holdings, Hup Jin NipSea

Kwek Leng Beng Hong Leong Group Singapore,  partnership with the Malaysian  IOI Group 

 

 X

W

Apple Tony Cook

Intel Moore

Jeff Bezos 

Chan Ms Z 

Sam Harris 

 DAMO AI Labs: researchers advance the state-of-the-art in artificial intelligence, applying AI algorithms to empower machines and design innovative interface that enable collaborative and natural interactions between people and machines. We develop platforms that infuse computer, material and system technologies to enable a larger community can easily build AI-empowered products. We develop advanced products such as TmallGenie (personal voice assistant) to extend human ability and ensure everyone access the benefit of AI.

Research Focus
  • Voice Assistant

(1)Voice Interaction: research on signal enhancement, voice wakeup, voice recognition, TTS and other technologies in the domain of voice interaction;(2)Natural Language Understanding: research topics include intent detection, slot filling, dialog management, chitchat and meaningful chat;(3)Data Mining and Knowledge Graph: research on knowledge extraction, knowledge integration, knowledge outsourcing, question-answering;(4)Personalized Recommendation: research on user profiling and personalized recommendation for scenarios related to voice assistants.

  • Industrial Design

Dedicated to the innovation in AI hardware and robot design. Exploring new possibility of future AI hardware and robots through persistent research on human-machine interaction, product archetype and material technology.

  • Intelligent Manufacturing

Based on a new generation of hardware design and manufaturing involving Intelligent chips and modules, we build innovated solutions using edge and cloud computing.

  • Robotics

Work on technologies for autonomous robotic systems, including: real-time localization, environmental mapping and reconstruction, object detection, scene segmentation, path planning, motion control, fault detection, multi-robot collaboration, and so on.


Products and Applications
  • TmallGenie

     

    TmallGenie is a intelligent voice assistant (with voice-box) made by A.I. Labs. It is the first product in the world that supports voiceprint purchase through voice-box with advanced voiceprint identification technology. In addition, the voice-box implements multiple industry-leading technologies in natural language processing and dialogue management. It understands human commands and provides user a new experience of human-machine interaction. Undertheneath, there are multiple huge databases such as encyclopedia, music database, movie database, commercial product database, LBS database, which include more than one hundred million entities, one billion relations and ten billion real dialogue sessions.

     

  • AliGenie Hardware Open Platform

     

    AliGenie is devoted to transform leading research capabilities to industry productivity by helping industry partners create cutting-edge product empowered by AliGenie intelligent human-machine interaction interface. By implanting AliGenie system, our partners' products gain a huge improvement in human-like abilities such as voice, tactile, vision and intelligent interactions. These abilities make our partners' products more competitive and provides better customer experience.

     

  • Mobile Robot

     

    AI technologies are built in our robot product. It has multi-mode (human, machine, environment) sensoring, interaction and understanding and autonomous planing and task completion capabilities. The robot service quality is enhanced in multiple business scenarios. It is observed that both the service efficiency of our business customers and the purchase experience of our individual customers are improved.  Among others, “TmallGenie Space Ball、Space Interstellar” are two products made by Alibaba which can help workers complete difficult tasks in hotels and hospitals, that require repetition or high precision.

     


Research Team
Miffy ChenHead of AI Labs

Joined Alibaba Group since 2003. Prior to her current position, Chen held several roles in Alibaba. She was among the first few product managers working for Taobao.com, where she was leading the development of the Taobao product team. Then she became the manager for etao.com, an e-commerce pricing comparison website, and later the founder and manager of Alibaba IOT department. She estabilished Alibaba A.I. Labs in 2016, and released the first consumer-facing AI product named Tmall Genie X1 in 2017. As of now, Tmall Genie X1 is the most sold Chinese smart speaker worldwide.

Zaiqing NiePrincipal Engineer of AI Labs

He received a Ph.D. in Computer Science from Arizona State University in 2004, a Master of Engineering degree in Computer Applications from Tsinghua University in 1998, and a Bachelor of Engineering degree in Computer Science and Technology from Tsinghua University from in 1996. Before joining Alibaba,he was a Principal Researcher and led the Big Data Mining group at Microsoft Research. His research interests include natural language understanding, data mining, and machine learning.

Jianye LiPrincipal Engineer of AI Labs

He is a visiting professor at industrial design department of Tsinghua university, obtained his master degree from Tsinghua University Academy of Fine Arts. His research direction is artificial intelligent hardware and robot industrial design. Before joining Alibaba, he was former VP of Smartisan Technology, senior consultant of Philips Design Hong Kong. With over 16 years experience of industrial design, he obtained 50 domestic/global design awards, such as German iF Design gold award, Italian A Design gold award, American Spark design silver award, Chicago Good Design award, Japan Good Design award, Hongkong DFA design award and Design Intelligence China award.

Yi RuPrincipal Engineer of AI Labs

He is the first generation of smart phone developers of China with the 15 years experience of smart device and IoT development and manufacturing. He is responsible for Tmall MagicBOX and product design for television system. He lead the development of Ali's first generation of voice assistant TmallGenie and published system desktop 5.0. He also established Alibaba's first acoustics lab and lead the industry acoustic testing standard and methodology. He designed the first Bluetooth SIG MESH clip with the collaboration of MTK. Before joining Alibaba, he was research director of Motorola Linux kernel development, is responsible for the Linux kernel development of Motorola Ming series cellphones. He developed the first cellphone with android system in China while worked in Borqs Technologies, Inc. at 2007.

Haitao DuAI Labs Product Director

He own more than 14 years experience of AI product design at internet industry and research orientations include: User-centric Big Data, voice Interactions, Imaging & Vision Process and multi-modal based next-gen Human-Machine Interface(HMI). With him on board, AI Lab was able to deliver 31 patents on AI-related products for the past two years. He led team released the groundbreaking TMallGenie - the latest generation hardware in mandarin-based HMI.

Steven LiuDirector of AI Labs

Before joined Alibaba,he worked in HP for nearly 10 years, he served as the Chief of Staff of HP China R&D Center. He held various management positions in R&D, product definition, strategic planning, and operations. In the field of consumer electronics and computing devices, he has accumulated rich experience in design, manufacturing and commercialization. He led the Robot team from all the perspectives, including product planning, R&D and commercialization. In September 2018, at the Yunqi Conference in Hangzhou, his team announced Alibaba's first intelligent robot product with multi-modal human-computer interaction capability.

Mingyang LiSenior Algorithm Engineer of AI Labs

He obtained his Ph.D. degree in Electrical Engineering Department at University of California, Riverside. After that, he joined Google Project Tango/Daydream working on algorithm development in Augmented Reality and Virtual Reality fields as well as technology commercialization on different types of consumer electronic devices. His research interests mainly lie in the areas of robotics and computer vision. In particular, he focuses on simultaneous localization and mapping, sensor fusion and calibration, multi-robot collaboration, large-scale image retrieval, and multiple-geometry in robotics, and he holds 20+ publications from world-class robotic conferences and journals, including IJRR, RSS, ICRA, IROS, etc.


Academic Achievements
Paper
  • Zexuan Zhong, Yong Cao, Mu Guo, Zaiqing Nie. CoLink: An Unsupervised Framework for User Identity Linkage. AAAI, 2018.
  • Xufang Luo, Zijia Lin, Yunhong Wang, Zaiqing Nie: CoChat: Enabling Bot and Human Collaboration for Task Completion. AAAI, 2018.
  • Yihong Chen, Bei Chen, Xuguang Duan, Jian-Guang Lou, Yue Wang, Wenwu Zhu, Yong Cao. Learning-to-Ask: Knowledge Acquisition via 20 Questions. KDD, 2018.
  • Chenglong Wang, Feijun Jiang, Hongxia Yang. A Hybrid Framework for Text Modeling with Convolutional RNN. KDD, 2017.

 

 Joint Labs 

  • Alibaba-Zhejiang University Research Center of Frontier Technology(AZFT)
  • Tsinghua University-Alibaba Natural Interaction Experience Joint Lab
  • Alibaba-Nanyang Technological University (NTU) Joint Research Institute (JRI)
  • Chinese Academy of Sciences-Alibaba Quantum Computing Laboratory
  • Alibaba Damo Academy-Research Institute of Highway Joint Laboratory of Vehicle Infrastructure Cooperative Systems

 DAMO TECH SISTER TO AI LABS

 Reshape the world through technology

Machine Intelligence
Research Area Overview

The Alibaba Damo Academy’s Machine Intelligence Research Sector utilizing researches in cutting-edge machine intelligence’s theories and applications, especially the machine learning, helps industries to improve efficiency in retailing, , transportation, service, medical and judiciary sector, etc. Alibaba Damo is devoted to facilitate the revolutionary in fields, including economics, space technology, automatic control, computer design, and manufacturing, etc.

The machine intelligence research sector encompasses five labs, namely Speech Lab, Vision Lab, Language Technology Lab, Decision Intelligence Lab, and City Brain Lab.

Research Area Leader
Rong JinHead of Machine Intelligence Technology

He was a faculty member of the Computer and Science Engineering Dept. at Michigan State University. His research is focused on statistical machine learning and its application to information retrieval. He published over 200 technique papers, mostly on the top conferences and prestigious journals. He is an associate editor of IEEE Transaction at Pattern Analysis and Machine Intelligence (TPAMI) and ACM Transaction at Knowledge Discovery from Data. Dr. Jin holds Ph.D. in Computer Science from Carnegie Mellon University. He received the NSF career award in 2006, and the best paper award from COLT in 2012.

Recent Events

Data Computing
Research Area Overview

The Alibaba Damo data computing aims to reconstruct and converge the open, secure, agile and ecological information infrastructure, solve computational problems of function, efficiency and energy consumption, meet the needs of real-time interconnection, information sharing and intelligent applications among people, machines and objects, and eventually form a globalized intelligent computing ecosystem.


Robotics
Research Area Overview

The Alibaba Damo Academy’s Robotics Research Sector is engaged in cutting-edge development in fields including environment perception, high-precision positioning, decision-making, intelligent control, etc.

Based on robot technology, Alibaba Damo focuses on R&D and application in unmanned driving and unmanned logistics, also it is committed to remodeling the value in traditional industries, such as automobile, logistics, service sector, etc.


Financial Technology
Research Area Overview

The Alibaba Damo finance technology is committed to improving the security, accuracy and convenience in finance sector, improving  financial forecast and decision-making ability, and remodeling the financial service.

Research Area Leader
Geoff JiangHead of Biometrics Lab

Before joining Ant Financial, he served as Vice President of NEC Group, leading NEC's American Research Institute and global R&D. He has developed numerous innovative technologies and products in forefront domains such as IoT, big data, artificial intelligence, cloud computing, computer security, and software-defined networks. He has published more than 160 papers in world-class computer journals and conferences, won the Best Paper Award from top data mining conferences including SIGKDD. R&D projects under his leadership have won multiple industrial innovation awards at high-tech exhibitions such as CEATEC and Interop.


X Laboratory
Research Area Overview

X Lab is dedicated to explore the most mysterious unknown in technology field and endeavors to provide the most advanced solutions. Furthermore, X Lab focuses on future and fission technology value.

Laboratories

 

=============================

May Diary

Monaco =  

 
FIA SMART CITIES TALK MONACO GRIMALDI FORUM 10 MAY
La conférence Smart Cities portera sur le développement de la mobilité dans les villes intelligentes, et la mise en œuvre de solutions nouvelles et exploitables pour faire face aux défis mondiaux qui définissent l'avenir des environnements urbains.
 
La discussion portera sur l'utilisation des nouvelles technologies permettant de faire progresser les systèmes de mobilité innovants en milieu urbain. Des orateurs de haut niveau examineront également le rôle des politiques publiques dans la définition d’un juste équilibre entre la mobilité conventionnelle et nouvelle ; sa contribution à la croissance des « smart cities ».



Intervenants
  • S.A.S. le Prince Albert II de Monaco
  • Jean Todt, Président de la FIA, Envoyé spécial du Secrétaire général de l’ONU pour la sécurité routière
  • Alejandro Agag, PDG et fondateur du championnat de Formule E
  • Kari Eik, secrétaire général de l'Organisation pour les relations économiques internationales
  • Lucas Di Grassi, pilote Audi ABT Shaeffler Formula E Team
Animé par: Edie Lush, Rédactrice en chef Hub Culture



 
Plus d'information
email: event@fpa2.org

June Tokyo Softbank inversors annual meeting
July
AIIB annual bankers meetig Luxembourg 

AlibabaTrend Statements as at end 2017

 Machine intelligence has already been generating great impacts on our life while we are still used to the era shaped largely by information revolution and mobile internet. Advanced technologies, functioning like “magics”, are developed based on rules and trends spotted by human beings. Today, Alibaba DAMO Academy published The Top 10 Technology Trends in 2019. We hope that by grasping the pace of revolution of technologies, we can make better use of these “magics” and be in charge of our own future.

Trend 1: Real-time simulation of smart city becomes possible
Dynamic and real-time urban infrastructure data, such as traffic, water, electricity and air quality data will be analyzed by large-scale computing platforms. The development of computing power and algorithms will foster the merge of nonstructural information such as video footages with structural information, making real-time modeling of urban simulation possible and holistic, intelligent decisions can be made. More resources will be allocated to technologies powering an intelligent “city brain” and its applications, while a city simulation model reflecting the real-time impulses and movements of a physical city can be built to facilitate the optimization of city governance. More cities in China are expected to have a “city brain” in 2019.

Trend 2: AI Speech technology passes Turing Test in specific areas
People can “talk” to more and more public facilities as voice becomes an increasingly important interface. In the future, there will be at least one available interface point in our surroundings for voice interactions. As speech intelligence technology advances, real-time text-to-speech on mobile devices would be almost identical to human speech, even passing the Turing test in certain conversations, such as ones using a robotic voice to alert about delivery status. Rules and regulations need to be established to regulate the industry, to avoid misusing the technology in advertisements, harassing phone calls and fraud.

Trend 3: Specialized AI Chips on Rise
For AI training in data centers, data movement between computing and memory has become a significant bottleneck. As a result, in addressing the challenge, memory-centric AI chip architecture based on the latest-generation of 3D-stacked memory technology will become mainstream. The demand for data bandwidth in AI chips will further motivate the use of 3D stacked memory, such as HBM (high-bandwidth memory) in AI training chips. In addition, brain-inspired neuromorphic computing chips will gain momentum, while researchers seek killer applications. Specialized AI chips may challenge the dominant position of GPUs for AI training in data centers. AI chips with architecture that truly reflect domain-specific features are expected to be increasingly used in edge computing.

Trend 4: Super-large graph neural networks (GNNs) will to teach machines common sense
Deep learning technology has matured significantly. GNNs that combine with deep learning can link end-to-end learning and inductive reasoning together, which might be able to address issues, such as relational reasoning and explainability that couldn’t be tackled by deep learning before. Robust GNNs can function as a human brain that consists of neurons (or nerve cells), equipping machines with common sense, comprehension and cognitive capabilities.

Trend 5: Computing Architecture to be restructured
Computing architecture will be restructured to meet the demands for data centers and edge computing. In the future, computing, storage and networks should meet the request of high-throughput computing for AI development, as well as the request for low power in Internet of Things scenarios. The heterogenous computing architecture with FPGA, GPU and ASIC, along with emerging memory devices, are driving the evolution of traditional computing architecture. In the foreseeable future, the fundamental changes to computing architecture will accelerate the arrival of AI and the quantum-computing era.

Trend 6: 5G networks to enable new applications
The fifth generation of wireless technology (5G) will see a significant increase of wireless bandwidth, enhancing the peak speed of 4G network nearly 100 times. This will speed the development of 4k/8k ultra-high-definition videos and immersive interaction based on AR/VR. With connection capability reaching billions of devices, it will enable thorough integration of communication and connection between machines. Networks will gradually evolve into the cloud or become software-based. Networks could also be segmented into multiple virtual subnets that are independent and parallel, offering dedicated virtual private networks for various applications. Additionally, with features like high reliability, low latency and large capacity, 5G networks will enable the development of new areas, such as vehicle-infrastructure cooperative systems and the Industrial Internet.

Trend 7: Digital identity will become your second ID Card
Biometric technology is maturing and being applied large scale. With the wide adoption of 3D sensors and integration of multiple models of biometric features, each device will be equipped with machine intelligence to see and hear the world. Biometric and liveness detection/anti-spoofing technology is reshaping people’s identification and verification, which will make your digital identity a sort of second ID card. From phone unlock, door access control to dining at restaurants, checking out at supermarkets, entering train stations, passing airport security check and seeing doctors in hospitals, biometric technology is playing an increasingly important role in making trust simpler and our daily life better.

Trend 8: Development of auto-driving technology to take a steady pace
Making individual cars smarter hasn’t worked out well in the past to achieve autonomous driving. However, this does not mean that self-driving has hit a roadblock and is stuck forever. The advance of vehicle-infrastructure cooperative systems will foster the development of autonomous driving. In the next two to three years, new technological progress should be seen in certain commercial areas, such as logistics and transportation, with fixed-route public transport and unmanned delivery for commercial buildings and campuses.

Trend 9: Commercialization of blockchain technology speeds up
People are more rational about the prospects of blockchain, which was once much overhyped. The deployment of blockchain applications with sustainable commercial value is expected to speed up. Along with the rapid digitization of various industries, IoT technologies will underpin the trusted mapping from off-chain world into on-chain data, and blockchain will expedite the restructuring and optimization of trusted data flow across participants to boost the efficiency of workflow and coordination. More and more blockchain applications will be seen in our daily life, such as cross-border remittances, supply-chain financing, electronic invoices and tamper-proof judicial records. As the value of “chaining” becomes more recognized, layered architecture and cross-chain protocol will become the focus of technology to scale up blockchain infrastructure.

Trend 10: Data security technologies will multiply

Governments around the world intend to enact/implement more stringent policies and regulations on data security. Corporates will need to invest more in protecting individual data privacy. Though cyberattacks won’t cease in the next few years, data-protection technologies will boom. Traceability technologies across systems, such as watermark, and data-asset protection technology, including advanced anti-crawlers against strong cyberattacks, will be more broadly adopted.

  1. Artificial intelligenceImplications for China | McKinsey

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  1. help hub nad macrae -Dictionary World Record Jobs- moores decade 5g4321:: 5g 2020s eg maso-san trillion times moore than moon race 60s - usa 1990s 2g berners lee bezos gates - 4g china decade jack ma, pony ma, robin li, lei jun + who billionaire edutech who wechat+1 240 316 8157

  2. nhkwporld 11 may follows between jordi yang & @AIsingapore (linkin tmicrosoft singapore hubs) are connected- jordi helps coordinate all chambers of commerce to linkin sme trade networks- aisingpore is world hub o0f curriculum AI for everyone -special thanks to pearl follows

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AISingapore is Singapore's national AI initiative to accelerate AI research and promote the use of AI in the Singapore ecosystem.

Joined July 2017
Tweet to AISingaporeMention AISingapore in a Tweet
 

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  1. A nice write-up by CFB Bots on AI Singapore's open source RPA tool.

  2. AI Singapore goes international -- Sharing our experiences, learnings and forging friendship with the global delegates from UNDP Global Centre for Public Service Excellence.

  3. Coming from the HPC world, there is some truth in this. In thinking about and planning our next generation AI infrastructure, MPI does not even make it to the top three software stack to have. HPC is dying, and MPI is killing it dursi.ca/post/hpc-is-dy

  4. Jared's book - R for Everyone (second edition) is out. Highly recommended for those wanting to learn R. And yes - that's a signed copy of the book.

  5. Someone mentioned to me today that they were using analytics/AI/big data to solve some manufacturing problem. This reminded me of the work INTEL and Revolution Analytics did back in 2013. Whitepaper I co-wrote with INTEL is below.


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Alibaba founder Jack Ma unveils ambitious plan

Mission: 100 million new jobs

By Dana McCauley


He already runs the world's biggest online shopping company, but Alibaba founder Jack Ma is not satisfied.

The Chinese billionaire has unveiled an even more ambitious plan to expand the company's reach across the globe, creating 100 million new jobs and transforming the global economy to create a more equitable world.

It may sound pie-in-the-sky, but the goal forms part of mission statement of the US$261 billion company's visionary executive chairman.

In a letter to shareholders, Ma outlined Alibaba's achievements of the past financial year - including a gross merchandise turnover of more than $195 billion (1 trillion RMB), an "unprecedented" figure - before looking to the future.

"We have more than 430 million annual active buyers, which means one out of every three individuals in China has made a purchase on our retail marketplaces," Ma wrote.

But, he said, while proud of Alibaba's online shopping achievements, "we want to do far more", saying that the benefits of globalisation had not been spread evenly, but that "digital disruption will bring us closer to a level playing field for young people and small businesses".

"We are not merely trying to shift buy/sell transactions from offline to online, nor are we changing conventional digital marketing models to squeeze out a little additional profit," he wrote.

"We are working to create the fundamental digital and physical infrastructure for the future of commerce, which includes marketplaces, payments, logistics, cloud computing, big data and a host of other fields."

The Alibaba group of companies, founded in 1999, accounts for 60 per cent of all Chinese online sales, and this year overtook Walmart as the world's largest retailer.

 

It has made Ma the second richest man in Asia, with a net worth of US$28.5 billion.

THE NEW 'NATURAL RESOURCE'

It's through cloud computing that Alibaba aims to expand its reach, and the company has been investing in the technology as part of a strategy that sees shoppers' data as the contemporary equivalent of mineral riches.

"Over the next 30 years, with computing power as the new 'technology breakthrough' and data as the new 'natural resource,' the landscape of retail, financial services, manufacturing and entertainment will be transformed," Ma wrote, forecasting a decades-long period of transformation.

"The internet revolution is a historical inflection point, much like when electricity was introduced, and it may have an even greater impact," he predicted.

Alibaba's mission, he said, was to "empower merchants with the ability to transform and upgrade their businesses for the future" and "help companies all over the world to grow".

"We believe, the commerce infrastructure we have created in China - marketplaces, payments, logistics, cloud computing and big data, all working in concert - can be applied on a global scale to lift up small and medium businesses and ordinary consumers around the world."

Eight years after launching, Alibaba Cloud hosts 35 per cent of Chinese websites, while delivering cloud computing and big data services.

'100 MILLION NEW JOBS'

Ma said Alibaba was constantly adapting to the changing e-commerce environment, as staying at the forefront of innovation was key to its continued success.

"In the coming years, we anticipate the birth of a re-imagined retail industry driven by the integration of online, offline, logistics and data across a single value chain," he said.

"With e-commerce itself rapidly becoming a "traditional business," pure e-commerce players will soon face tremendous challenges."

A shift to mobile revenue was one such change, he said, with mobile climbing from a single-digit percentage to three-years of total revenue from Alibaba's Chinese retail marketplaces, in the space of two years.

"This is why we are adapting, and it's why we strive to play a major role in the advancement of this new economic environment," Ma said.

Innovations like Alibaba's Qianniu app, which helps online businesses to improve sales and marketing while enhancing efficiency, were an example of the type of projects the company aimed to focus on.

"In 20 years, we hope to serve two billion consumers around the world, empower 10 million profitable businesses and create 100 million jobs," Ma said, adding: "This will be an even more difficult journey than the one behind us."

news.com.au

 
 
LISTEN : Newstalk ZB Political Editor Barry Soper speaks to Andrew Dickens on KPMG Early Edition

Mr Ma - who's worth around $50 billion - met with John Key in Beijing late yesterday. He made his money through founding the online commerce platform Ali Baba.

Standing alongside the Prime Minister, he heaped praise on the country, which he says is loved by many Chinese.

"At least 20 of my colleagues retired from Ali Baba. They're all very young, in their 40s, they all go to New Zealand."

"I asked what they do apart from the golf and green things and they say it's the people there."

It wasn't all social, with the Chinese billionaire also talking business.

Jack Ma told the entrepreneurs luncheon Kiwi businesspeople find it difficult to access the Chinese market.

Mr Ma said he wants to make that easier with his multi-platform organisation.

"We have Ali Baba University. We would either have courses in New Zealand or invite the entrepreneurs in New Zealand to stay in China for two weeks for training."

"The second is that we're going to open an Ali Baba business embassy next year in New Zealand."

John Key is in China meeting business and political leaders.

 

 


Innovation "Made in China" - The Case of Alibaba and the role of Net-based Small Business

Innovation is a key driver for economic development and social progress and small business is one of the best ways for people to express their willingness and capability to innovate.  Pervasive business ownership has, therefore, been the foundation in many societies for the continued improvement of people’s economic wellbeing. In the People’ Republic of China, however, private business ownership was prohibited between 1957 and 1978. Productive innovations were extremely restricted and as a consequence, China’s economy was on the verge of collapse by the end of 1978. The Chinese people had suffered a historic setback.

Alibaba’s growth, driven by unleashing grassroots entrepreneurship, has become an exemplar of China’s innovation in the 21st century.  Started by 18 young people in 1999, Alibaba has grown into a giant global internet platform and has made many invaluable contributions to China’s progress. Highlighting the importance of pervasive small business ownership in unleashing grassroots innovation and improving economic wellbeing, Professor Lowrey will discuss Alibaba’s innovative strategies and explain the economic theory behind its inspiring success.

 

 

 

Dr. Ying Lowrey is Professor of Economics at Tsinghua University and Deputy Director of the Tsinghua Research Center for Chinese Entrepreneurs, and a member of the Academic Committee for Alibaba Group Research Institute. Her teaching and research interests include economics of innovation and entrepreneurship in the internet and platform economy, the modern microfinance market, business demographics, characteristics of business owners, and the role of free enterprise and competition in the macroeconomy. 

She received her economics Ph.D. from Duke University, economics MA from Yale University and mathematics BS from Wuhan University. Before joining Tsinghua University in 2012, she served as senior economist at the Office of Advocacy, U.S. Small Business Administration and has taught economics at George Washington University and San Diego State University.

 

Selected publications 

 

 100millionjobcrisis

100millionjobcrisis

Founder of Ali Baba commits his work for Chinese on internet to generate 100 million microentrepren…chris macraeNov 23, 200950 views

Founder of Ali Baba commits his work for Chinese on internet to generate 100 million microentrepreneur jobs in 2010s - who else would you vote at the centre of 100 million job creation leagues?
=====================update sumer 2016:
unlike oiher years spent with bangaldeshi inspired youth, i spent 2015-2016 mainly with a class of chinese female students - what brilliant minds and tirelss sources of human energy - i hope this summary of why the whole world can celebrate what jack ma is doing is near to the mark - but as always look forward to editing any errors which are mine alone
chris.macrae@yahoo.co.uk washington dc text 240 316 8157
======================
was english language tutoring

In 1995 he was sent to the usa on an exchange mission and encountered the worldwideweb - then unknown in China. He determined the www would be the biggest job creating innovation of his (or his generations) life and hopefully of every Chinese entrepreneur he could valuably link into.

Over the next 15 years his wizard coding teams went from something that was little more than an electronic yellow pages for small businesses to conceiving sustainability generation's 2 greatest retailing platforms china or the world may ever have seen..

the taobao platform is the most valuable job creating concept retailers have ever mediated because it reverses the western trend of globalisiation of retailers, bankers and big corporations squeezing out local and small enterprises from having a market; how taobao did that is an extraordinarily detailed story but note how Ma was concerned to ensure even the most cut-off of Chinese villagers could start up on tao bao (rural ecommerce is one of the innovations that Ma has led the www purpose to linkin)

His other mall was pitched at the more usual high cost fashions of big global merchandisers. Because of complex property laws in chinese cities, most expensive retailers are not much of a joy to shop in. So ali baba created a lifestyle -eg celebrate singles day 11/11 shopping virtually rather than the physically exhausting interaction in The West's biggest shopping days of the year)

SO 365/24/7 consumers of ali baba can choose who they value developing most with their purchasing power as well as searching merchandise with global image or local cultural joy

Alibaba has become china's and probably the word's largest retailing channel. It does this with next to no merchandise but brilliant coding so that every store front on its platforms delivers with equal reliability. Hunting out exactly how Ma forms partnerships so that big data analysis benefits the smallest enterprises and most local consumers ought to be a job of whomever is sustainability goals greatest economist.

Intriguingly to ensure he could compete with the chinese internet companies that raced to co-create the www that Ma had opened space for in china, Ma IPO'd Alibaba through a process 2010-2015 while developing his secret sustainability weapon under private ownership. AlIpay is china's number 1 financial inclusion delivery system and maybe global youth most humanly productive coding achievement to date.

Comparing china's top 10 internet properties with the west's is very interesting. Are the consuming behaviours on ali baba more sustainable than those on amazon or ebay or paypal? Are the learnng behaviours on baidu more sustaining of youth than on google or coursera or microsoft's linkedin. Time will tell but note how speaking english, chinese and coding (as well as mother tongue) are probably what educators anywhere on planet earth should NOW be most valuing their global youth's future freedom to thrive entrepreneurially around.

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