uni revolution in human and artificial intel - to youth as fitst sdgs generation

 liz thank you this is great

have you seen itu 2020 summary ai report- i only just found it this morning

i have added a few Q&a to your mail- no need to answer unless you see something we can improve access to; i think my reports next version may be a blog as well as slides - probably in 2 weeks

On Monday, 12 October 2020, 15:51:17 GMT-4, Elizabeth Chee <lizchee@outlook.com> wrote:

Hi Chris,

I have taken a look at the ppt. Here are some of my thoughts:

1. Healthcare is a huge area where AI can make a lot of impact and thus it deserves its own category. From infectious diseases to predictive analytics, diagnostics and preventative medicine to support home-based monitoring and home-based care. China just came up with virtual nursing homes using people's own homes as the primary base of care. There is also femtech such as fertility, nutrition, genomics, early cancer detection, etc. You can see that all the major tech Giants are wanting their foot into the door of Healthcare. 

absolutely health-femtech ai is what fazle abed hoped brac uni would connect to the 30 colleges of open society network- each could have gone deep on an ai compass of practice as well as have partnered the itu as university of ai -maybe vincent can update whether this is still on course

2. Mobility and my favorite being inclusive mobility to power smart cities where they rely a lot on traffic data is where AI plays a huge part in making these systems more connected, smarter and more efficient. Not just regular transportation but rather a holistic form of integrated mobility like what you see in Japan across the ecosystem. I personally feel Healthcare and Mobility will converge and true enough that is already beginning to happen in China, Japan and South Korea. 

absolutely- which smart cities in these 3 countries do you either have friends in or want to track-  there are many so called associations of cities but one of the saddest consequences of trump - chinese cities seem to have been decoupled from such coalitions at least in english language reporting- if biden gets in there are at least 100 gurus in dc i want displaced - i know whos done this in both parties- we had a similar situation in 2009 when obama came to town but did not throw out the subprimers

3. Emotional AI is hardly talked about here in Europe while it is already very advanced in Japan and the rest of the Asian powers houses are trying to learn from the Japanese experiences.

i agree - two leads i have but dont know how to follow up; have friends in beijng and tokyo who want to reunite musicians and artists and at the same time i hope they can bridge emotional ai- this was part of what jack ma was planning to do at the olympics he sponsored but which covid has put many billions of dollars out of sync- my japanese friends do not yet understand how to negotiate with the bankrupt olympics- going forward it should be two thirds asian led in line with youth population- it should not be an investment of old men with swiss bank accounts nor should any other celebrity platforms- this is partly why superstarsai is my polite name for media revolution youth need

4. My top 4 favorite AI connectors are:

Andrew Yang, professor in Stanford University leading a lot of the AI and ML courses on campus and also on Coursera. He has a really good way of explaining concepts and a lot of people are following him on Twitter.

i have tried to follow yang for a long time- i wish he hadnt sold out on mooc as cofounder of coursera- i probably think of him in 2 opposite ways; negatively i think kai fu lee has done much more practical job in having been in ai search in both the valley and beijing; positively i am confident there are many ai subalumni networks of yang but i dont understand the tech well enough to catalogue what each leads

Fei-Fei li, Inaugural Sequoia Professor, Stanford University and Co-Director of Stanford’s Human-Centered AI Institute. She has authored and co-authored over thirty papers in next generation AI (
Machine Learning, Deep Learning, Computer Vision and Cognitive and Computational Neuroscience)

i saw her talk once - live interview santa clara with jerry yang taiwan-amercan founder of yahoo and fixer of jack ma funding out of japan and with goldman sachs- if i understand correct fei-fei image net invented whole new approach to ai pivotal to how any kind of camera's data becomes an ai databank; maybe i am wrong but i got the feeling jerry fearlessly debates what could be done with ai while fe-fei is trying to keep students safe to connect- liz i havent asked where your family comes from and whether this means someone like jerry yangs team would chat with you- by the way have you ever chatted with bedy yang- a brazilian chinese who has done more for early start hubs in 5 corners of the world than anyone- i have been tracking hubs since 2004 birth of impact hub in london- sadly this network became all political not where tech wizards linkin across cities

Dr. Bertalan Mesko from Hungary, he is a digital health expert and also cowrote a book on AI in Healthcare. 

Check out his website: https://medicalfuturist.com/

this could be very exciting - desperate to find whos who in budapest, vienna and indeed and central/east europe cities- only way to get deep ai instead of brussels ai- inew to me; will try and study- it would be great if euro-periphery nations could maximise their startup impact at https://www.ai4eu.eu/

Shalini Ghosh, Principal Scientist and Leader of Machine Learning Research, Samsung AI.

She led research areas such as situated AI and multi-modal learning also the Visual Display Intelligence unit of Samsung Research America. 

wow this sounds great too- truly feel korea has far more sdg changing ai - do you know any of people at esri - the national institute connecting with itu; fazle abed assumed korea and singapore unis would be of deep help to poverty and womensai but i am far behind in searching these places  - also do you have a view on who to click to first on ai in india- i am interested in how tata 400k it people have made ny roosevelt island second home with cornell but cant find who is india's aiforgood

Cheers,

Liz  

-liz your ideas are fantastic- one last q for now- have you come across the lady at mit who just won mn dollar for healthai 

 Regina Barzilay wins $1M Association for the Advancement of Artificial Intelligence Squirrel AI award

MIT Professor Regina Barzilay has received a $1 million Squirrel AI Award for Artificial Intelligence for the Benefit of Humanity for her work developing machine learning models for cancer diagnosis and drug discovery. (420 kB)

help assemble library of interviews with arizona state president crow

 eg brookings 17 may 2019

n our recent blog, Top 6 trends in higher education, we highlighted the increasing prevalence of online education opportunities in the fast-changing higher education landscape. In the U.S., online courses have more than quadrupled in the last 15 years and are growing even more quickly around the globe. Pursuing a degree through a high-quality online program offers not just cost reduction but also increased flexibility, especially for nontraditional students.

To explore this growing trend in more depth, we spoke with a top leader of online education, Michael Crow, President of Arizona State University.

Q: You have been a pioneer in online education. Can you tell us what personally motivated you to become a leader in this field?

A: Arizona State University is designed to enhance access to quality education for all learners capable of performing university-level work, regardless of the person’s socioeconomic status or geographic location. As an eager learner from a nomadic family of limited means, I changed schools often and learned that intellectual curiosity alone was not always enough to realize your academic goals.

People learn in different ways and there needs to be more than one route to success. As educators, it is up to us to devise what those pathways are and how to provide the knowledge and support that produces positive outcomes.

During my career in academia, I have seen too often that our educational systems fail learners by clinging to outmoded philosophies and structures, forsaking capable learners to sustain “exclusive” reputations, and shunning educational technology as a subpar learning fad.

What we need to do instead is figure out how to educate across the spectrum of society. We need to identify every effective learning strategy, tool, and option that exists and make them available. With the help of a design culture focused on student success at every level, reliable analytics, knowledgeable partners, and leading-edge innovations, technology-enabled learning can elevate students to new levels in both fully immersive (on-campus) and digitally immersive environments.

Q: Where do you see the direction of online education going over the next 10 years?

A: The advancement of technology and our related knowledge creation is growing exponentially at an unprecedented speed. The resulting data is giving us new and important insights about how people learn and how we can tailor lessons to more effectively meet the needs of individual learners. This increasingly sophisticated information provides a better understanding of the biological, psychological, cultural, and sociological factors that impact learning, and the capability to personalize educational experiences to facilitate successful mastery.

Right now, ASU has more than 175 online degree and certificate programs that serve more than 46,000 undergraduate and graduate students and learners in Arizona and around the world. With the help of custom course designers using pioneering technology, we can present knowledge in new ways that empower learners to comprehend content in the manner and pace that best suits them. Students also have access to a dedicated success center that serves both an advisory and advocacy function for online students. This model has shown that students who were previously unsuccessful in passing courses taught in traditional models can now thrive and move forward.

We are also thinking carefully about how the future of learning will evolve in general.

Until now, learning has followed a conventional, linear sequence from K-12 to college and then onto a career. In the future, accelerated changes to the workplace will necessitate that education not be relegated to only early life, but instead to a continuous, non-linear series of learning interactions that add new skills and credentials to fulfill evolving expectations in work and personal fulfillment over a lifetime.

At ASU, we are advancing our own approach to Universal Learning, which integrates online learning, virtual reality, artificial intelligence, game-based learning, entrepreneurship, public and private sector partners, and global alliances to design accessible education pathways for students of all learning levels at any point in their lives. We are currently developing a series of demonstration projects, student success programs, and employee learning models to position ASU as a future-ready leader.

Q: What are the most important arguments that people make against online education and how would you respond to them?

A: The standard arguments against online education persist. Opponents continue to cite inferior quality/value as compared to traditional education; lack of affordability; insufficient support for underprepared or disadvantaged students; and poor learning outcomes due to a lack of face-to-face instruction as reasons not to move forward.

ASU has demonstrated that it is possible to design and conduct digital courses that are equal in quality to in-person coursework and leverage analytics and technology tools to foster student success. The same faculty members that teach our on-campus classes teach all of our online courses.

Our knowledge enterprise, EdPlus, is responsible for developing and delivering our digital teaching and learning models at scale, with focused attention on how these offerings enhance student access and success. Within EdPlus, our Action Lab conducts intense research on digital teaching and learning and translates that knowledge to drive our continuous improvement in the online learning space.

U.S. News & World Report recently named our online bachelor’s program number two in the nation, and multiple online graduate degree programs were ranked in the top 10. When our digital immersion students graduate, their diploma does not read “ASU Online.” It reads “Arizona State University” because we are committed to providing the same quality education received by our full immersion students.

If we hope to produce the number of college graduates we need to remain competitive in the global economy, we need to focus more on surrounding people with as many educational opportunities as possible. The real question is, “Can we help people to fulfill the totality of their human potential?” We believe that we have a moral responsibility to do just that and therefore will utilize every tool to do so.

Q: ASU has over 40,000 online students. Can you discuss the biggest challenges in growing the program and the strategies that have been most effective in mitigating those challenges?

A: One challenge is helping skeptics to understand that rigorous and individually attentive online education programs are possible. Another is helping policymakers to understand that online learning is not a replacement for full-immersion education, but instead another valuable pathway to enhance degree completion. And yet another, and the most vital, is meeting the rapidly growing demand for digital education offerings by learners all over the world.

At ASU, we focus our energy on convening the best educators, designers, technology experts, and support teams to demonstrate that quality learning is deliverable at scale.

A great example is our partnership in the Starbucks College Achievement Plan, a program that offers Starbucks partners 100 percent tuition coverage to complete their first bachelor’s degree through ASU Online. They have 80 programs from which to choose. We also created a separate pathway to help learners that do not initially qualify for admission so they can work toward that goal. I am proud to say that we have graduated more than 3,000 Starbucks partners to date and we have more than 12,000 partners participating in the program. The direct and consistent feedback from those individuals has been that their experience with ASU has been nothing short of life changing.

Q: You have been a strong advocate of universities having a global outlook. Can you share your vision for how online education could help students outside the U.S.?

A: One of ASU’s eight core design imperatives is global engagement. Our responsibility to enhance access to quality higher education does not end at the edge of our campuses or the state border. Insufficient degree attainment is not specific to the United States, and ongoing social, political, and infrastructure complexities around the world pose serious challenges for people everywhere who are eager to learn.

ASU wants to be a leader in developing models, forming relationships, and applying available technologies to make our knowledge resources available to those who need them. We are demonstrating this commitment through programs like “Earned Admission,” which began in 2015 as the Global Freshman Academy, a partnership with edX, to make college freshman courses available through interactive, digital platforms. Enrollees can begin taking ASU classes instantly, without applications or transcripts, and then pay for courses if they pass and want academic credit. More than 230,000 students from more than 180 countries have participated.

Last year, we also launched the Al-Ghurair Foundation for Education (AGFE) Open Learning Scholars program, a collaboration that provides education scholarships to high-achieving Arab youth seeking to complete their master’s degrees through ASU Online. So far, $11 million has been granted to fund the program for the next three years, and 43 student recipients have been or are in the process of being admitted to ASU. Another 500 recipients are anticipated over the next few years.

To address a separate need, EdPlus has also launched Education for Humanity, an online learning initiative that collaborates with local organizations to provide higher education access to refugee, displaced, and marginalized learners.

By marshalling our institutional strengths and leveraging our commitment to deploying innovative solutions, we are working to remove the cost, technology, and support barriers that keep learners from progress. It does not matter if these students are in our backyard or half a world away. Our institution is committed to using every available idea, tool, and option to help them achieve their learning goals.

twiml suzanna llic ml tokyo and caualy london

twiml uni updates 20 oct 2020

Milind Tambe

Director of AI for Social Good

Google Research India

Milind Tambe is the Director of AI for Social Good at Google Research India. His research focuses on advancing AI and multiagent systems research for Social Good. Milind contributed several foundational papers in Artificial Intelligence in areas of agents and multiagent systems and computational game theory.
This research has led to significant practical impact, such as use of the green security games framework to assist wildlife conservation around the world, use of social networks and machine learning to assist in improving public health outcomes such as HIV prevention, and the use of pioneering security games research for security optimization by agencies such as the US Coast Guard and the Federal Air Marshals Service. Milind is also a Professor of Computer Science and Director of the Center for Research in Computation and Society (CRCS) at Harvard University.

Sessions

Keynote Interview: Milind Tambe

In this session, Sam is joined by Milind Tambe, Director of AI for Social Good at Google Research India, and 

35 years on agency ai

more recently focus ai impact

grew up mumbai - attacks india mother in trin attacked

these events sharpened interestpublic safety airoprts etc 15 years ago

randomisecheckpoints with gaetheory eg lax

now in wildife and public heallth

relation appn of ai and context of social good? in my view social impact work can advance ai into new areas that dont come up wotherwise

from 2009 we have been struggling with big data when no data so data has to be collected/standard ai techniques only start when perfect data exists

community data socially has to be interdisciplinary

..eg conversation scientists, social workers on ground, linking together separated ngos, understand ngos challege on ground- improve use of those resources that they have- we are not married to the tool but start with the social problem

eg youth homelessness - problem brought to us by ngos 

-6000 yout sleep strrets lo angeles 13-24 - rates oh hiv i yhis population 10 tomes norm - so how speadinfo to these 6000 youth- map who are the key networkers - brief them- can we improve on this model

key nodes in network of the 6000 -somewhat like viral marketung bt now with life critical knowhow- ai algoritms finddiffeent youth than ngo asking wh is most popular?

- man finding - diffeent youth because alogorith lookedfr strategic communities - eg beach bum network, basketball network - straegicallyplaced youth different fro mass

-twist - compute sciece sume social netwrk id given- this makes sense when marketig so not having the network data to start with - twist has to do earlier research

challenges Sam Charrington ​@Anupam Ghosh your guides were overfitted  Milind Tambe​Yes, in Google Research India, one project is focused on how to get dams to operate better to avoid floods, and ensure we provide enough water to farmers etc The TWIML AI Podcast with Sam Charrington​Great question Dinesh. Milind Tambe​Improving dam and barrage water release: Using AI to inform dam and barrage water Anupam Ghosh​yeah most likely - real nueral nets Milind Tambe​This is obviously just one project, but the challenge you are pointing to Dinesh is a very important and massive one!

Sam Charrington​Milind, would some of your work on poaching be applicable to illegal fishing? I recently saw a story about an increase of poaching of the coast of the Galapagos islands.

The TWIML AI Podcast with Sam Charrington​How would it translate?

Milind Tambe​Absolutely! I agree that would be a great application for fighting illegal fishing

Anupam Ghosh​are these learnings (ai models) from a particular region transferable to other regions? e.g. healthcare projects which you are working on.

Sam Charrington

​We see a lot of this already, e.g. recommendations, algorithmic feeds, clustering.

Dinesh Chauhan​In general how facts can be separated out from fake news.

Milind Tambe​Yes, there are some key problems that across areas. For example, how to spread health information...whether its HIV, or TB. Whether its the US or India, the problems are similar.

Sam Charrington

​Mmm. tough problem. Have you worked in this area @Milind Tambe ?

Milind Tambe​So there is some commonality across domains in problems, but providing tools that would be usable by non-profits directly would be absolutely awesome...thats a great problem to be working on

Anupam Ghosh​it's surprising to see similarities between US and India in this context.

chris Macrae​does ming work with iqbal quadir at harvard - he started collecting village phone data 25 years ago- lots of deep problems and ngos

Anupam Ghosh​I guess people/behaviour has some universality

Milind Tambe​We have done preliminary work in how in a social network we could try to neutralize misinformation but there is just a lot that needs to be done, e.g., as we come to COVID-19 vaccine.

Anupam Ghosh​law

Milind Tambe​We will need to combat misinformation about the covid-19 vaccine

Milind Tambe​Spots for illegal fishing would be similar to spots for poaching

india health., conversation paired up india ngos and tech colleaguesmaternal child care preventing hiv bangalore, tb, pandemics see blog

Thank you to our confirmed presenters:

During discussion you should be prepared to share code if relevant but not run it. The goal is to provoke interesting project related discussion to help the presenting and audience learn and progress their knowledge and skills. Any and all ML topic areas are welcome.

10/22 – Session #1

• Nicholas Teague – Automunge
• Nick Doiron –  Measuring Gender Bias in Spanish Language Models
• Abdul Samadh – Machine Learning for Encrypted Traffic Behavior Modelling 
• Kai Lichtenberg – Keyword Image Classification
• Shree Phani – Exploratory analysis of SVM support vectors

10/29 – Session #2

• Kamalkumar (Kamal) Rathinasamy – Visualize the Learning of Domain-Specific Knowledge in Neural Networks
• Bryan Romas – Collaborative Filtering for Patient Recommendations
• Fatma Elsafoury – Does BERT Pay Attention To Attribution
• Ankit Sinha – Machine Learning for Routing Anamoly Detection
• Ashwini Nayak – Text mining: Exploring the Goldmine that is Data: The Fundamentals of Text Mining
• Nitin Bharadwaj Mutukula – Encrypted Traffic Malware Presence Detector

 10/15 Here’s a quick reminder that the Keynote Interview with Suzana Ilić, Head of ML Tokyo and Computational Linguist at Causaly, is starting now!

machinelearningtokyo.com › mlt

MLT. Machine Learning Tokyo. General information: Founders: Suzana Ilic, Yoovraj Shinde Founded in: July 2017, Tokyo, Japan Registered nonprofit 一般社団 ...

ABOUT | Machine Learning Tokyo | MLT Official Site

mltokyo.ai › about

MLT(Machine Learning Tokyo) is a Tokyo-based nonprofit organization dedicated to democratizing Machine Learning. We are a ... Suzana Ilic. Founder and ...

Suzana Ilić - Computational Linguist - Causaly | LinkedIn

uk.linkedin.com › suzanailic › en-us

MLT. Jul 2017 – Present3 years 4 months. Tokyo, Japan. MLT is an award-winning nonprofit 一般社団法人 dedicated to democratizing Machine Learning ...

craft.co › causaly › metrics

Causaly has raised $6 m in total funding. View Causaly stock / share price, financials, funding rounds, investors and more at Craft.

Causaly: Home

www.causaly.com

Causaly is the fastest way to find evidence, explore hidden connections and make new predictions in biomedical science.

Sam Charrington

​Here's another interview to listen to for more on this use case: https://twimlai.com/twiml-talk-109-da...

Join us LIVE here: https://twimlai.com/twimlfest/sessions/keynote-interview-suzana-ilic/

Time: 10 AM PT / 1 PM ET (Add to Calendar)

moved back to london from master nat langage  -applied lingisusistics -  processing in tokyo-deep learning national institure= the contract for google japan

started non profit mlt to help 7000 members get into deep learning

now in london  -causally conpany  health ai

biomedica causal relationships

causal strength - genes chemics diseases

directionality of causal relationship eg a increases b didffebt a asociated with b

engine search huge data on possble ause/effects in just a few clicks

what might take weeks to research traditionally now tales secnbds to click

also vusual tool for how we interpt knowledge system intuitively

-how this expands precepts of nlp

one use case pre drug - what are risks of deigning drug in this area

we have domain experts in different drug subsegemnts

unique computtional linguist space - can be gamechanger in pharma profession

course with robert ness on causal model and machine learning

-- how did 3 of you hack mlt coomunity

we were 2 domain experts sortware education engne- me machine lingists

stared at co=work space - more and more joined us later workshops to cotrain each other

one half years ago turned from hack space to a non profit wanting to attract educators - 250 workshops panel discussions

groeing oyt of japan to india to canada europe to usa

evoilved from slf-learning passion to a global alumni netwrk

gamechanger met entreprenur tuzosan - founer of elita for kids

ai projects for scial good -nbdeep learning hardware- resarch publications nlp

egai efga -edge devices

edai lab umbrella

-became our contribution for socialgood

began collaboration chinba hacker community farmes and tech

sgri robots

this led to ajilab competition -traffic data tokyo object tracking system  -retina nets 

in mlt love collaborating with unis open science is an idea tokkyo institute waed to join in - 2 day bootcamp - intro machine learning to expert faculties

nlp machinelearningcreativity

diffeent pretraining methods

targeting oetry lyrics creativ space

edgeai project - machine learning for developing world -  edge devices can adapt to frugal envoironments

in dev countries food productio in resource constrained places viutal- dep learning and edge devices

community-driven independent research is very important - a passion of mlt

interview andreas massen - ind researcher- main advice - try harder to find affilition 

question can community provide support that an institution can provide?

in between open self-org and closed institution

hugging face democratising nlp

companies do open source nspire me

davy cadf at google brain - unique approaches machine learning

lear collab that people want to multiply and co-code

many approaches to causal modeling

explicit and implicit relatinships/architectures

more on transitoio dmain xpert to machine learning

mu unusial background - needed to learn both hands on and theorists but i am stll a lingist not compt science understanding the property of labguafe as a data

i define prblems as a lingist'then i look for prototype alogorithms

lookat what model len

then reiterate

steategic langage decisions

lingust as dmin expert

emily bender interview are ther ebnough linguists in nlp

lingisutsand machine learning gohand in hand

understanding impact of the model

at begiining of howto collab brig disciplines together

product owner work starts before tech analysis- you set targets for products impacs and communicate to team

maximise value for our users

ui user emperience

design principles of ai when statistical core

ui and ux

there are things which ae language specidc about causality but in london i am working in english

language though reaoning brin - lingusitics helped me understand that computer science wouldnt hsve - appled lingistocs - argumentation theory etc

solving language problems

mahine learing research and in production - 2 opposites see publication

edge type of uses resoures constraints

worl communities acrissciutry - resourece cnstraints

community is my platform to learn to experiment

as a product professional need the pre-experince of community leaning

Sam Charrington

​Hey Everyone! Looking forward to today's interview!

Mrityunjay Bhardwaj​🙌🙌

Sam Charrington

​Hi Mrityunjay!

Sam Charrington

​Thanks for joining us!

Mrityunjay Bhardwaj​^_^

Miguel Ángel García Villegas​Hi Sam, thanks to you and your team for organizing the TWIML Fest!!!

Sam Charrington

​Hi Miguel! You're welcome! Enjoying it so far?

Alisher Abdulkhaev​Hi everyone! Looking forward to this interview!

Larry Davis​Hey folks!

Sam Charrington

​Hey Larry!

Larry Davis​Morning Sam!

The TWIML AI Podcast with Sam Charrington​Hey everyone, thanks for joining us!

Miguel Ángel García Villegas​of course enjoying and looking forward for all the sessions still to come!

Sam Charrington

​Welcome Alisher!

Welcome to live chat! Remember to guard your privacy and abide by our community guidelines.

LEARN MORE

Alisher Abdulkhaev​MLT!! 

Mrityunjay Bhardwaj​

The TWIML AI Podcast with Sam Charrington​Don't forget to get your questions for Suzana in!

Alisher Abdulkhaev​[message retracted]

Alisher Abdulkhaev​​Question to Suzana: "Who had inspired (or still inspiring) you a lot from AI/ML community?"

Kirti Pandya​TF or pytorch? which API seems superior?

The TWIML AI Podcast with Sam Charrington​Great question Alisher!

Miguel Ángel García Villegas​Based on your experience as an academic in linguistics, how much importance is given to machine learning in this research field nowadays?

The TWIML AI Podcast with Sam Charrington​Emily Bender Interview: https://twimlai.com/twiml-talk-376-is...