welcome to digital silk road plus 6 youth Belt Road Maps ... Changing Education - the most exciting times to parent or grow up sustainably. Our old versions: EW , AU ...how can web maximise sme value and job creating education? -help welcomed in compiling top 100 alumni networks of alibabauni.com -UNited fintech & edutech & 17 goals-- notes on china's greatest educators ggv podcast limebike.. sinica -notes who's helping jos number 1 educator? Kenyann, Bangla girls Tsinghua, olympians-for-all, IR4-forhumans - rsvp isabella@unacknowledgedgiant.com

official alibaba (also notable apps - eg missing children )
*taobao university up to 100 million alumni in China - received training on how to taobao; as of 2017 established 1311 taobao e-commerce villages
*Damo Academy 1 2 started with 15 billion dollar investment by jack ma's as intercity top notch research on humanising livelihood advantages of major components of Industrial Rev 4 such as AI, blockchain, internet of things .. related IR4 at world economic forum: san francisco hub; wef summer china summoit
*gateway17 ma's 3000 citizens and leaders one day masterclass in ecommerce
*ma's personal mentoring (aka efounders) of first 100 entrepreneur chorts chosen with unctad and developing nations that have asked jack ma to help
+Aliresearch 1 tsinghua alumni network of Ying Lowrey's SME curriculum aligned to AliBaba model
Podcast Ant Finance

*hong kong 100 million dollar youth entrepreneur fund: AI webs 1 2 : Jumpstarter competition.-see also hk youth entreprenur curricula YFS & MIT -- taiwan ma entrepreneur fund
*alibaba entrepreneur fund
*poverty funds 1 :: blockchain research china poverty association 1 - alibaba 0.3 revenue to green foundation 1
Breaking news 1 from

jack ma- when i first studied (e)commerce in states i was surprised to find that each market was dominated by 2 or 3 manufacturers- i decided to design china ecommerce to maxise small enterprise suppliers and local jobs

.ying lowrey is tsinghua's professor of small enterprises- her book alibaba way is eyeopening:

foreword by nobel economist edmund phelps, columbia....Alibaba uses information technology to enable mass innovation to flourish.and to improve the lives of the people

related tsinghua - innovation events
lowrey beijing coorindtaor of aliresearch whose dean at hq is Hongbing Gao

Ai in education
around grade 5 - a
around12th grade - about 50 podcasts and notes here
10th grade ai history from circa 1996?
15th grade ai earlier 2018 Kai-Fu Lee hope was us would lead ai discovery, china implementation
15th grade china top50 ai
15th grade 14 billion dollar uniciorn ai in china - wef 2018 review- speakers Speakers: - Dai Wenyuan, Founder and Chief Executive Officer, 4th Paradigm Data & Technology Co., People's Republic of China. - Huang Dinglong, Co-Founder and Chief Executive Officer, Malong Technologies, People's Republic of China. - Wendell Wallach, Scholar, Interdisciplinary Center for Bioethics, Yale University, USA. - Wang Xiaoming, Director, Center for Innovation Strategy and Policy Research, Chinese Academy of Sciences, People's Republic of China. - Yuan Hui, Chairman, Shanghai Xiaoi Robot Technology, People's Republic of China.
.partners of ma &
*jack ma chairs cen 1- 2 = china's 50 most respomnsible businessmen - search curricula funds etc - location close to tsingua beijng

example founder of shanghai conglomerate fosun actively celebrates CEN, and partners in one of Jack Ma's universities at hangzhou and supports new york greatest yoth-led arts movement singforhope.com

co-sponsor: wise@beijing: Zhejiang Zhipu Foundation Founded by the six founding members of Alibaba Group, Zhejiang Zhipu Foundation supports rural education and promotes healthy and sustainable relationship between human and the society, as well as between human and the nature.
Guterres UN Digital Cooperation Panel #DigitalCooperation
The Panel is expected to raise awareness about the transformative impact of digital technologies across society and the economy, and contribute to the broader public debate on how to ensure a safe and inclusive digital future for all, taking into account relevant human rights norms.

Panel Members


Panel members

  • Mohammed Al Gergawi (UAE), Minister of Cabinet Affairs and the Future, UAE
  • Yuichiro Anzai (Japan), Senior Advisor and Director of Center for Science Information Analysis, Japan Society for the Promotion of Science
  • Nikolai Astrup (Norway), Minister of International Development, Norway
  • Vinton Cerf (USA), Vice President and Chief Internet Evangelist, Google
  • Fadi Chehadé (USA), Partner at ABRY Partners
  • Isabel Guerrero Pulgar (Chile), Director, IMAGO Global Grassroots and Lecturer, Harvard Kennedy School
  • Marina Kaljurand (Estonia), Chair of the Global Commission on the Stability of Cyberspace
  • Bogolo Kenewendo (Botswana), Minister of Investment, Trade and Industry, Botswana
  • Akaliza Keza Ntwari (Rwanda), ICT advocate and entrepreneur
  • Marina Kolesnik (Russian Federation), senior executive, entrepreneur and WEF Young Global Leader
  • Doris Leuthard (Switzerland), Head of the Federal Department of the Environment, Transport, Energy and Communications, Switzerland
  • Cathy Mulligan (United Kingdom), Co-Director of Imperial College Centre for Cryptocurrency
  • Edson Prestes (Brazil), Professor, Institute of Informatics, Federal University of Rio Grande do Sul
  • Kira Radinsky (Israel), Director of Data Science, eBay
  • Nanjira Sambuli (Kenya), Digital Equality Advocacy Manager, World Wide Web Foundation
  • Sophie Soowon Eom (Republic of Korea), Founder of Adriel AI and Solidware
  • Dhananjayan Sriskandarajah (Australia), Secretary General, CIVICUS
  • Jean Tirole (France), Chairman of the Toulouse School of Economics and the Institute for Advanced Study in Toulouse
The deliberations of the Panel will be supported by a small secretariat, co-led by:
  • Amandeep Singh Gill (India), Executive Director, Secretariat of the High-level Panel on Digital Cooperation (ex officio)
  • Jovan Kurbalija, (Serbia), Executive Director, Secretariat of the High-level Panel on Digital Cooperation (ex officio)
  • Patrick Bolton, Barbara and David Zalaznick Professor of Business, Columbia Business School
  • Markus Brunnermeier, Edwards S. Sanford Professor of Economics, Princeton University
  • Bengt Holmstrom, 2016 Nobel Laureate, Paul A. Samuelson Professor of Economics, MIT
  • Lars Peter Hansen, 2013 Nobel Laureate, David Rockefeller Distinguished Service Professor in Economics, Statistics, Booth School of Business & The College, University of Chicago
  • Preston McAfee, Most Recently Served as Chief Economist and Corp VP at Microsoft
  • Christopher Pissarides, 2010 Nobel Laureate, Regius Professor of Economics, LSE
  • Yingyi Qian, Distinguished Professor and Dean of School of Economics and Management, Tsinghua University
  • Alvin Roth, 2012 Nobel Laureate, The Craig and Susan McCaw Professor of Economics, Stanford University
  • Thomas Sargent, 2011 Nobel Laureate, W.R. Berkley Professor of Economics and Business, New York University
  • Michael Spence, 2001 Nobel Laureate, William R. Berkley Professor in Economics & Business, NYU Stern
  • Steve Tadelis, Professor of Economics, Business and Public Policy, Haas School of Business, UC Berkeley
  • Neng Wang, Chong Khoon Lin Professor of Real Estate & Professor of Finance, Columbia Business School
  • Shangjin Wei, Professor of Finance and Economics, Professor of International Affairs, and N.T. Wang Professor of Chinese Business and Economy, Columbia University
  • Wei Xiong, Trumbull-Adams Professor of Finance, Princeton University
  • Chenggang Xu, Quoin Professor in Economic Development, University of Hong Kong, Professor of Economics, Cheung Kong Graduate School of Business
the wicked problem of missing curricula youth most need- as jack says this is a huge problem; correspondenmce case posted may 2018: moreover we have atended many world bank youth summits where missing curricula have been pitched and everyone cheered the value but getiing each different nation to newly cetrtify suc new learning is a fools erand
-here part of a specific example- do you know a missing peer to peer curricula that needs similar linking in

I am staying at brac in bangaldesh my favorite girls education network in the world as well as largest ngo in wortld and partnership networkwe will see dean of james grant school of public health at brac university tomorrow- do you still have any message you wanted passed to brac about the peer to peer adolescent health program you and lancet have been building? we are mainly working with brac's overall education director as specified directly by sir fazle abed when i met him in qatar 2017 - sir fazle kindly gave a lot of his time to remembrance parties of my dad norman macrae at the japan embassy in dhaka in 2012more generally brac and jack ma started fin tech partnership earlier this month with brac's BkashSMS in bangladesh but for s asia (the whole 2 billion of china's neigbors particularly poorest girls on china south and south westren borders), for sustainabiliuty generation to scale and gain from these 2 superstars we believe partnering relations will broaden into looking at skills education ; we will be trying to form team both on bangladesh and china side to monitor this however fast or slow it goesmostofa has been working on bangladesh side for very long time- he also worked with modjtabia sadria then at aga khan in london while they were in london at time muhammad yunus was at his social business peak ; i believe modjtabia is now back in iran after some years with paul at monash? ( i didnt get to pauls grn summit in jordan 2006; i believe sadria did; i note that jack ma just made donation to queen of jordans education fund)

we are trying to invite any university student to form a club to see where is the nexus between what students most want to study practically and training that sir fazle and jack ma could mooc or otherwise maximally distribute to benefit livelihoods- togther the names of jack ma and sir fazle can be a top 100 web and top 1 web for open action learning- in branding terms this is easy as long as we quickly get all best friends of ma and abed signed up at one launch summit blessed by china and on the road to ma's sponsorship of huge expo at tokyo olympics

after 8 visits to beijing i am reasonably confident that we can get as much additional support as we want from tsinghua university in beijing (over there they know thgere are half a billion undre 30s and that china cant afford any youth left legless by mismatch between jobs and what colleges like examining-- ) additionally tsinghua with aiib is heavily into belt road pitches to india this year so education can be 2 for 1 so to speak
as long as both jack ma and sir fazle have approved a subject area as being one that needs development in this type 2 pee to peer or apprentice mode i believe we can help scale missing curricula

as you think you know i first met pauil komesdroff in 2004- i love everything he was trying to create volunteer expereinces abroad around monash and medics and cultural/arts translators;I hope we can find the right way to linkin monash as this idea gains momentum
coming soon at wechatuni : difficult questions like what happens when ai or robotic intelligence is inside your phone?
- world's largest market fund Yu'e Bao Sesame Credit score

Monday, July 29, 2019

Lending / 

Jack Ma’s $290 billion loan machine is changing Chinese banking by caixin

Using real-time payments data and a risk-management system that analyzes more than 3,000 variables, Ma’s four-year-old MYbank has lent 2 trillion yuan ($290 billion) to nearly 16 million small companies. Borrowers apply with a few taps on a smartphone and receive cash almost instantly if they’re approved. The whole process takes three minutes and involves zero human bankers. The default rate so far: about 1%.

The implications of MYbank and its peers growing more comfortable with smaller borrowers could be profound. Nonstate enterprises -- mostly small businesses -- account for about 60% of growth, employ 80% of workers, and have been disproportionately squeezed by a more than two-year government crackdown on shadow lenders.

Thursday, July 11, 2019

enjoy ma's journalists annual report China Internet Report reveals how tech firms have gone from copycats to trailblazers
10 Jul, 2019 - 11:29 pm
The China Internet Report 2019 offers insight into key China technology trends, with deep dives into 11 key sectors and expert commentary from industry leaders.

Saturday, June 29, 2019

The 4th New Economy Think Tank Summit: Three Things You Need to Know
Time: 2019-01-10 18:35   Views:1438
By Coral Zhang and Neal McGrath | Coresight Research

On January 6, the Coresight Research team attended the fourth New Economy Think Tank Summit in Beijing. Attendees included significant figures in retail, and these are some of the things they discussed:

(1)Artificial intelligence (AI)is not about the Internet of Things (IoT), Digital Twin, or any of the latest technologies: It's about using machine learning to solve business problems.

(2) AI can dramatically shorten the product development cycle.

(3) Robots and humans unite: Pairing the two on the factory floor will be the next wave.

The Coresight Research team was in the room when some of China's most innovative, tech-focused retailers came together for the fourth New Economy Think Tank Summit by AliResearch, the research arm of Alibaba. The Speakers included Min Wanli, Chief Machine Intelligent Scientist, Alibaba; Chen Weiru, Executive Director of Alibaba Industrial Internet Center; Liu Song, Vice President, Alibaba Group; Gao Hongbing, Vice President, Alibaba Group, Director of AliResearch; Steven Zhang, Vice President of Alibaba DingTalk; Ma Mingjie, Director General of Research Department of Innovation, The State Council Development Research Center; and, Michael Irwin Jordan, Professor at the University of California, Berkeley and Chair of Ant Financial Scientific Advisory Board.

1. Intelligent Technology: From IoT to AIoT

Min Wanli, Chief Machine Intelligent Scientist for Alibaba Cloud, put forward the opinion that AI is not “technology” or any of the fancy words being bantered about when talking about AI such as the IoT, 5G, VR and blockchain. Instead, AI is about decoding the process of human perception to make machines think more like people — and be able to do more in the commercial space to add value.

One example is Alibaba's experiment to "teach the production line how to think," using AI to find improvements in the production line. The result? The company improved the efficiency of one coal-burning boiler 2.6% using holography data analysis and AI process optimization. That may not seem a lot, but it means saving over a million tons of coal a year.
Another example is using AI in agriculture. In one experiment, various intelligence technologies such as OCR, yoloV3, GoogleNet, FCN, ASR, NLU, MIF, ElasticNet were used on a pig farm to analyze every step, every detail of every individual pig's mating, pregnancy, birth, growth and death. The information they learned helped reduce mortality 3% annually.

2. Speeding Up the Product Development Cycle

AI is also helping companies with new product development. The Tmall Innovation Center teamed up with Mars to create a new, spicy candy bar based on big data that showed many Chinese consumers prefer spicy flavors. Alibaba then used an intelligent feedback system to find the target consumers who like spicy flavors, create simulation models, organize trials, receive feedback and improve pilot products. The traditional R&D center needs an average of 18 months to create and launch a new product. Alibaba says its intelligent systems could cut that to just nine months.

3. Intelligent Economy: From Carbon-Based Ecosystem to Silicon-Based Ecosystem

Quoting from The Rainforest: The Secret to Building the Next Silicon Valley, Gao Hongbing, Vice President of Alibaba Group and Director of AliResearch, said the business world today is transforming from “a carbon-based ecosystem” to “a silicon-based ecosystem” in which intelligent technologies such as AI, machine learning and the IoT will be married into various business forms and generate an intelligent economy.

Closing with a dose of reality, Michael Irwin Jordan, Professor at the University of California, Berkeley, researcher in machine learning, statistics, and AI, and Chair of Ant Financial Scientific Advisory Board, offered this perspective: “The world will be redefined by data and algorithms.”
Does that mean machines will be smarter than humans? Jordan doesn't think so: It is more like a comparison between a human and a piano. The human needs the piano to play music, but there’s no way the piano can write the music.
“Power of Platforms” In Focus at Luohan Academy Summit
Time: 2019-06-28 15:47   Views:59
By Christine Chou | Alizila 

Alibaba Group has connected buyers and sellers in the digital age in ways that were not possible in previous eras of technological and economic development, said Alibaba Group CEO Daniel Zhang this week.

But there’s much more at work on Alibaba’s shopping sites, such as Taobao and Tmall, than that one-to-one relationship, Zhang said. That’s because trade relationships in the digital economy are multidimensional, unlike the linear relationships that defined traditional commerce.

“The world is not flat. [In e-commerce], it is never just between the buyer and the seller,” he said, speaking at a conference in Hangzhou put on by Luohan Academy, an Alibaba-initiated global research platform. “Each buyer represents a family and a community, while the seller is part of a value chain that includes production, distribution and sales. There are many people that must work together to make a store successful.”

The Luohan Academy Digital Economy Conference was held to mark the one-year anniversary of the Academy’s launch. Last year, Alibaba brought together six Nobel Laureates, as well as renowned economists, social scientists, tech pioneers and professors to address the economic consequences and social disruptions that arise as new technologies are introduced to the world. “Luohan” is a Buddhist term for “beings who have achieved a higher state of consciousness.” In Chinese, it is often used to describe empathetic thinkers who work for the good of others.

During the panel discussion, which also included the Massachusetts Institute of Technology’s Bengt Holmström, New York University Professor Michael Spence and London School of Economics Professor Christopher Pissarides, Zhang said that while most people focus only on the transactions between merchants and consumers, platforms in the digital age are creating opportunities for multiple players throughout a consumer-driven value chain that has been changed by new technologies and services. Now, new jobs are available to people whose digital skills had no place in the traditional economy, Zhang said.

“There are huge opportunities to create new jobs with the development of technologies,” he said, adding that this benefitted society as a whole.

For example, the booming key opinion leader market in China and globally has created new job opportunities for innovative young people as merchants shift to new channels, such as short-form video and livestreaming, to sell their products. Alibaba’s role in this, Zhang said, was facilitating these innovations so that people could pursue these careers in the new digital economy.

10 Questions for the Digital Economy
During the two-day event, Luohan Academy posed a list of questions that were meant to guide conversations regarding the fast-paced adoption of digital technologies in the world today, such as how these technologies affect the job market and whether they will widen or bridge the digital divide.

“Our 10 Top Questions shed light on the most critical issues societies would face in the future,” said Luohan Academy Director Chen Long. “There won’t necessarily be any absolute, correct answers for these questions, but we hope that our publishing them could inspire society to think, discuss and achieve a degree of consensus, which can help reduce public anxiety at times of great uncertainty.”

Calling technology a “double-edged sword” that offers benefits as well as problems if it isn’t implemented correctly, Chen called on the academic community, policymakers and the private sector to work together to ensure inclusive growth as the world grows increasingly digital.

In a closed-door meeting with Academy committee members on the eve of conference, Alibaba Group Executive Chairman Jack Ma echoed those sentiments.

“No one is an expert of tomorrow,” he said. “We should formulate wise policies at the moment of wisdom, instead of solving tomorrow’s problems with yesterday’s practices.”


Digital Technologies Allow People to Take on Risks and Explore New Opportunities
Time: 2019-02-18 10:58   Views:1201
By Xubei Luo | The World Bank

In the era of digital technology, the structure of production as well as the interaction between humans and machines is being redefined. The diffusion and application of digital technology can increase productivity in an unprecedented manner, with potential to reshape the role of humans in the function of production. Jobs are the drivers of development and pillars of resilience for people. Five years ago, the World Development Report (WDR 2014),  Risk and Opportunity – Managing Risk for Development, highlighted the role of enterprises in supporting people’s risk management by absorbing shocks and exploiting the opportunity side of risk. There have been heated debates on how technology may lead to risks, such as job loss and structural changes of employment. While the risks are real, the estimates of the impact of digital technology on employment vary widely, from substantial job loss for both skilled and the unskilled workers, to potential job gains thanks to the complementarity of humans and machines, as well as the income and wealth effect derived from higher productivity.

The World Bank and the Alibaba Group have been conducting joint research to examine how China has harnessed digital technologies to contribute to growth and expand employment opportunities through e-commerce development. Early findings show e-commerce fosters entrepreneurship, including for the youth and women, and contributes to growth in Taobao villages. Most people, especially e-households, in Taobao villages perceive their social status as equal or higher when compared to five years ago, and they believe they will have equal or even higher social status two years into the future. While it is still early to judge the impact of e-commerce on total employment, or the additionality of e-commerce to the economy as a whole, a few examples of innovation in the e-commerce platforms indicate possible channels how digital technology can create new business and employment opportunities, as well as pave ways for new opportunities.

Digital technology can create new business opportunities 
Digital technology can support innovation. In Sichuan, local firms collaborated with AliCloud to set up “profiles” for farm pigs using computer vision and AI voice recognition. The “ET Brain” documents their breed, age, weight, eating conditions, exercise intensity and frequency, and movement trajectory to reduce mortality rate of baby pigs and increase the fertility rate of female pigs.  

Technology and big data can improve quality and increase profit margins. In Xinjiang, with the support from local service providers, farmers apply new technology to improve the quality of melon for online sales.  The e-commerce contract farming model not only allows farmers to minimize risks of price fluctuations at harvest, but also enables platform companies to ensure product quality and pre-stock products in nearby warehouses according to big data sales predictions to enhance consumer satisfaction.  

E-commerce platforms can create markets for traditional products. In Qinghai, women of ethnic minority sell traditionally embroidered clothes (intangible cultural heritage as classified by the Chinese government) online, leading them to move out of poverty while balancing the needs to stay at home caring for their elderly and children.

Technology can create new forms of employment 
E-commerce can provide flexible/part-time jobs, meeting the special needs for employment of the disadvantaged and improving their sense of satisfaction. For example, women can take advantage of flexible working schedules to start and do business online while taking care of the young and elderly family members. Almost half of e-entrepreneurs in Taobao are women (this compared to 25% of women entrepreneurship in China), and three quarters are under the age of 34.  Female business owners, through knowledge sharing, demonstration, and affinity, often inspire more women in the neighborhood to find employment opportunities, including part-time jobs.

E-commerce creates on-the-ground jobs for logistics business. According to the State Post Bureau of China, 40 billion of parcels were delivered in 2017, generating revenue of nearly 500 billion RMB (or over 70 billion USD) with a year on year increase of 25 percent.  According to the China Federation of Logistics and Purchase, the number of employees in express delivery services increased 130 percent from January 2014 to November 2017.  There are numerous anecdotal stories of how people first start from being deliverymen and become owners of delivery companies in their hometowns making use of the close kinship in rural areas to expand business. The experience obtained through on-job-learning can help the disadvantaged to develop their human capital and be well placed to pursue better employment opportunities.

Technology can also pave the way for financial inclusion 
Fintech can improve access to finance in a more flexible and inclusive manner. For example, through Alibaba’s “310” loan service, in China, 4 million micro and small business receive loans with a total amount of RMB 700 billion, with an average per-account outstanding loan of less than RMB 30,000. And this is achieved through a 3-minute application, 1-second approval & grant, and 0 manual intervention. 100 million consumers, who have no or very limited loan history, now have credit ratings from AntFinancial.

Big data and block chain technology can facilitate public participation in welfare programs and support health insurance for poor households. For example, a new internet public welfare program provides free health insurance to breadwinners of poor households to reduce the risks of falling into poverty due to catastrophic health expenditure. Mobile payment, image identification, and blockchain technology together enable the participation of the general public to welfare programs and enhance the transparency and efficiency of the program management.  And local mobile public platforms can improve administrative efficiency and transparency.

Technology has been changing the ways by how production is conducted and how employment opportunities are distributed. The steam revolution lowered transport costs and made it feasible to spatially separate production and consumption, with production becoming specialized and concentrated in select areas. The ICT revolution lowered the coordination costs and separated the production stages previously conducted in close proximity. The separation of the stages of production across regional and national borders became more profitable and the higher end of the production concentrated in developed countries and the lower end in several developing countries. The fourth industrial revolution, such as robotics, AI, Internet of Things, is transforming the entire systems of production and management and the ways people interact, with the potential of making the world more integrated or segmented depending on the evolution of multiple forces.

With access to better opportunities as well as better risk management tools, places with better digital technology and individuals with better endowment are likely to have the first mover advantage. Meanwhile, the drastic improvements in market access and potential of productivity increase may benefit the less fortunate more in relative terms as they can learn from the first movers without an expensive trial-and-error but by directly adopting the new technology.

While numerous examples show how technology can bring new opportunities to people, this comes with unprecedented risks as well. When the natural barriers that segregate local markets are drastically reduced by e-commerce platforms and numerous innovations are stimulated to meet the increasingly fast evolving demands and provide tailored services to the unique taste of various consumers, the risks due to the exposure to fierce competition and unpredictable changes in the online markets are substantial and require new ways to manage. The jury is still out about what these risks may lead to, and how the benefits and costs will be distributed across the different segments of the population.

The World Development Report 2014 Risk and Opportunity: Managing Risk for Development, contends that the solution is not to reject change in order to avoid risk but to prepare for the opportunities and risks that change entails. What policy measures to put in place, in what areas, and in what sequence, to support people to seize the new opportunities of digital technology while managing risks will have a profound impact.  The WDR argues that “people can successfully confront risks that are beyond their means by sharing their risk management with others”, and that “the various systems—from the household and the community to the state and the international community—have the potential to support people’s risk management in different yet complementary ways.”  In the digital era, concerted efforts are crucial to support equitable access to technology and skills, as well as a conducive business environment for everyone, to make digital technology more beneficial to people in an inclusive manner.

Saturday, January 19, 2019

Top 10 Technology Trends in 2019 Predicted By Alibaba DAMO Academy
2019/01/02FromAlibaba DAMO Academy
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.

Sunday, January 6, 2019

ai-humani - the next 100 moon races

back in imagine's 1960s -the part of americas moon race that excited me most: freeing www.digitalcooperation.org of 5000 youth on one goal with no silos (not corporate not gov not university) -today we have 1000 times more technology - at http://AIdemocracy.com call this AI-HumanI -

 for China sustainability race is not an option- this starts with  launch of 5 AIBeltRoads - one inside china around the fifth of the world's people - another wherever india's another fifth of the world's people want to join in - then there is big land and arctic circle moon race to china's north - and japan kprea and superport islands are already starting their joint missions impossible-possible www.economistdiary.com

there are many ways to AI- for example you can ask a robot to learn for you - it now costs less than 7000 dollars (source joi ito MIT media lab at NY Japan Society) for a child to send a small smart experiment into space; 

5 of Jack Ma's First 100 Lab Partnerships

or we can ask a Hugo award-winning female chinese science fiction writer to write a loveq short story and we can give it to one of UN or WEF friends of jack ma's universities www.alibabauni.com  or intercity hubs or www.maOlympics.com expos of youth  to tell us whats not possible- this month china started AI at primary level- its important that teacher training robots learn with young girls first - this will help china collaborate with any nation that wants to go beyond #metoo #theeconomist @obamauni to women hold up half the sky - to ensure every next girl born is as free to join the AI-HumanI moon races on earth as any next boy www.worldclassnations.com www.1461.world chris.macrae@yahoo.co.uk www.worldrecordjobs.com www.economistdiary.com

Thursday, December 27, 2018

links damo dec 2018


  • Machine Intelligence
  • Data Computing
  • Robotics
  • 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.

    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
  • X Laboratory

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