Bloomberg

Business Philanthropy 19 years Safety Road of thongs Kelly :Larsen (20 countries 45 suercities) 

Education Robert Daniels

Triad

Medical Dean   Theodore DeWeese on 02/11/2025 In many ways, artificial intelligence is already integrated into our daily lives — from search engines and social media to transportation and text editing. However, its most transformative potential lies ahead in health care.. This is where Johns Hopkins Medicine must lead. And — I’m proud to say — we are already paving the way.Our innovations span Johns Hopkins Medicine’s tripartite mission of clinical care, research and education. Over the past year, for example, a group of our physicians tested an AI scribe tool that takes notes during their appointments. This technology has freed them to focus on their patients — an important step forward in clinical care. But tools like these are just the beginning of what’s possible. As Dr. Vasan Yegnasubramanian, director of Johns Hopkins inHealth, recently shared: “Right now, the AI tool takes the information from that conversation to help write a physician’s note. As we go forward, it might also be able to remind the physician of questions they need to ask — and integrate data from labs and other testing to provide decision support on appropriate treatments, follow-up care and specialist referrals.”There’s exciting progress across our research and education missions too. In October, the Johns Hopkins Sidney Kimmel Comprehensive Cancer Center and Whiting School of Engineering joined the Cancer AI Alliance, a groundbreaking new partnership with the Fred Hutchinson Cancer Center, the Dana-Farber Cancer Institute and Memorial Sloan Kettering Cancer Center. Through this federated network, these institutions can utilize responsible AI to safely share data — all with the goal of potentially transforming oncological care (see p.2).At the same time, we’re making data science and AI centerpieces of one of our most significant internal investments: the Life Sciences Building, currently under construction at the southwest corner of Broadway and East Monument Street in East Baltimore.  Alexis Battle, director of the Malone Center for Engineering in Healthcare, helped direct these innovations. “As we went through the initial stages of planning for the new Life Sciences Building, there was a lot of thought put into: What are the next 10, 20, 30 years of life sciences and medicine going to look like?” she told me. One focus, on data science and AI, emerged as a clear consensus. Once the Life Sciences Building is complete, it will have two major investments in data-powered machine learning: first, a technological hub dedicated to emerging computational methods. And second, well-resourced interdisciplinary spaces will enable collaboration across divisions — from the Data Science and AI Institute to faculty members from our schools of medicine, public health, engineering, business and nursing. “Hopkins has a really unique interdisciplinary community in the AI space,” Dr. Battle has noted. “This is really bringing them together. Learning about, and educating people about, data science and AI — it has to be a joint effort.” This research could very well change the future of drug discovery and testing, helping researchers target more specific gene mutations and assess therapy candidates more efficiently. It also enables Johns Hopkins to lead conversations on the intersection of AI, policy and research. Our Bloomberg Center in Washington, D.C., for example, has hosted trainings for U.S. Congress staffers, and our Berman Institute of Bioethics held a symposium to discuss the latest innovations in AI policy and governance. As we make more and deeper discoveries, we’ll be able to share them with leaders across fields — and, eventually, with patients. This is all an extension of the unique role, responsibility and capability Johns Hopkins Medicine has always held. As Dr. Yegnasubramanian shared, “Not many places can bring together an incredible research university — the first research university — with the world’s best health care delivery and health system.”AI tools, powered by the unparalleled innovation of Johns Hopkins, will help shape the future of modern medicine and once again set new standards for care, discovery and education.

Also Global Public Health Safety Road of Things Abdul B & Bloombeg's Kelly Larsen

MRNA   and Kariko networks

Scanning    & Pixar/Dinney: Catsmull, Jensen Huang

Engineering Whiting  dean, Schlesinger has launched numerous initiatives aimed at enhancing the student experience and the impact of the Whiting School of Engineering’s educational and research efforts on society. He has built educational, research, and outreach partnerships and has enhanced translational opportunities for Whiting School of Engineering faculty, students, and staff.

These efforts include:

• launching the new Data Science and AI Institute, a truly translational investment, whose growth is set to effectively double the size of the school , making WSE one of the largest private engineering schools;
• establishing the Ralph O’Connor Sustainable Energy Institute, opened on Earth Day 2021, to house energy-related research and educational programs across the university that address climate change;
• creating the Johns Hopkins Institute for Assured Autonomy, a partnership with the JHU Applied Physics Laboratory, focused on ensuring the safe, secure, reliable, and predictable integration of autonomous systems into society;
• forming the cross-divisional Department of Environmental Health and Engineering, a partnership between the Whiting School and JHU’s Bloomberg School of Public Health;
• building the Doctor of Engineering program, providing professional engineers with the advanced technical expertise they need to succeed in industry and the public sector;
• and developing the Malone Center for Engineering in Healthcare, a partnership with the School of Medicine, the Applied Physics Laboratory, and other JHU divisions that is aimed at enhancing the efficiency, effectiveness, and consistency of health care.

SAIS Dean Steinberg DC -also Bologna vd Dehousse  & Nanjing Trilateral SAIS US Chey Korea   (with nec corporation)

Sais emerging tevch hosted by Steinberg;; 23 Nist's Dr. Laurie Locascio and Rand's Dr. Jason Matheny

also  javascript:fnDownload('Chey_Institute_Annual_Report_for_the_year_2023-24.pdf');

 Dmitri Alperovitch, co-founder of Silverado Policy Accelerator; Ben Buchanan, Assistant Professor at Johns Hopkins SAIS and former White House Special Advisor on AI; Eric Breckenfeld, Director of Technology Policy at NVIDIA; Radha Plumb, former Chief Digital and AI Officer at the Department of Defense; and Thomas Rid, Professor of Strategic Studies and Director of the Alperovitch Institute.

70 nations tranational diplomats SAIS DEAN

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

sais 

List of Workshop Participants

With thanks to the following participants in the October 2024 workshop:

From the ACF report Getting China Right at Home

report

report nb date

David Arulanantham
U.S. Department of State

Jude Blanchette
RAND China Research Center

David Bulman
Johns Hopkins University SAIS

Ling Chen
Johns Hopkins University SAIS

Natalia Cote-Munoz
U.S. Department of State

Daniel Delk
U.S. Department of State; Johns Hopkins University SAIS

Cole Donovan
The National Academies of Sciences, Engineering, and Medicine; National Oceanic and Atmospheric Administration, U.S.
Department of Commerce

David Fagan
Covington & Burling LLP

Adam Fields
U.S. Department of State

Carla Freeman
United States Institute of Peace

Michael Fuchs
Open Society Foundations

Michael German
Brennan Center for Justice

Bonnie Glaser
German Marshall Fund

Naima Green-Riley
Princeton University

Aya Ibrahim
U.S. Department of State

Richard Jao
U.S. Department of State

Susan Shirk
University of California, San Diego

Jim Steinberg
Johns Hopkins University SAIS

Ana Swanson
The New York Times

Jeremy Wallace
Johns Hopkins University SAIS

Rick Waters
Eurasia Group

Edward Wong
The New York Times

Ali Wyne
International Crisis Group

John Yasuda
Johns Hopkins University

Li Yuan
The New York Times

review of century

 chris.macrae@yahoo,co,uk write of neural networks and otrher brainworekers connections

over 25 year of  market research on custo9mer behavior i had developed a view of communication to9 bgrains which i9 mistakenly termed neural network until dad said - not a god idea - dad had become von neuman's interpreter in the economist from 1951 so poimted me to neuman's last notes 

please accept these jotting link several apres ski moments old year 1000 am ong my   my extended family and daispora scot-our favorite topics in combinatiosn of 3 ofetn having worked in half of thge wored's nations - how to unite people- we've received immense kindness almost wherever wew go (well a few projects where i was exposing corruption excepted)

s exchangged notes on a very noisy 20th century- how media has become ver more fake scares us especially when presentin that concern at Harvard- i was told you may be correct in your concern over thst expoentil risk but US will nver fund tha reseaarch

 

sources included dad's 50th year as vonneumann biographer; 54th year of practice as Economist sub-editort. mine as 2oth year as dtabank researcher of a [project started at mit/haravrad express database (what did peoples of different nations demand from value chain brand leaders. Da'ds life had been concerned with connect aisan and atlantic peopl;e since spending hois last days as teen allied bombe commang (burma campaign) from 1982 ten year of york for Unilever across Asia had made me Bostonian's number 1 databant data entrant

by the late 19890s it was not uncommon fir brand leaders to spoend a billions of dollars a year co,peting for your brain cells; whilst much market research was as trivial as do you respond to  a bran d name  : no awares, prommpted awarenessd, spontaneous awaress; the reality wasd a brand in a person's brain oftern traced  hundreds of memoriusers in its overall identity : colors, logos, interpersonal stiories, meainings from magiuc moments in life and if that was the customer end- which corpoare functions were proud about the nrand- overall who'd uniquely miss what if the brabd ceased to exist. Foir 25 years I did market resear hof people's minds without readinging  V Neumann's last booklet - the computer and the brain. wow so engineers seee intelligence as augmenting hiuamn brains not just training up compueters brins

Back in 1984 dad and my boiok 2025 report- hypothesised the main game would be over- sustainability of system design would be won or lost for iur species Have allok what that means in last months of 2024 - tik tok 2024/08 ...

Meanwhile having spend a devade tering to get the world's largest ad agencies and accountats to value up to 90%  of goodwill no longer counted by tangible accountant- i guest edited triple soecial issue of journal of brand managment on Brand Reality; and want to charter intelliugen as seen by leading pacigifc coast us cities versus atlantic ones. Dad says  hi 1982 survey why n ot silicon valley  everywhre still has been applied much except by a few most loyal Economist Readers. 

a chat with 2024 inteligence engines on helping bangladesh (team yUNus) with women empowerment (WE) revolution 3

Chris Macrae co-Moderator facebook Yunus fanclub 

https://lnkd.in/eGnTE68h nearlly 200 global leaders including 92 Nobel Laureates extend their congratulations to Professor Yunus and the people of Bangladesh. In a powerful letter, they express their readineess to support Bangladesh's journey toward crreating a new and better world with Dr Y's guidance https://www.prnewswire.com/.../global-leaders-and-civic... 200 influential signees

Gov Adviser Yunus Twitter( list 1)

First 3 teams ; narional goverance, economiics, finance; first foreign envoy adviser

Thanks to bilion asian women - and 2 men Dr Y and Abed Bhai

WE3 Le Monde 10 Aug 2024 

Muhammad Yunus, the 'banker to the poor' turned Bangladeshi government leader

The economics professor, founder of Grameen Bank and 2006 Nobel Peace Prize laureate is sworn in as head of the interim government

To understand the remarkable journey of Muhammad Yunus, the "banker to the poor" who was thrust to the helm of Bangladesh by a bloody popular revolution, one must look back to the mid-1970s. At that time, Yunus was an economics professor at the University of Chittagong, in the major southern port city of Bangladesh. It was there that he conceived an idea in a nation where poverty and overpopulation were often seen as inevitable: "I thought we needed to change the lives of the poor," he recalled back in 1987, smiling as he welcomed Le Monde into his office in Dhaka, the capital. "After returning home from several years in the US," he went on, "I realized that the government was incapable of meeting the needs of the poorest. And then I thought: after all, why can't these poor people contribute to improving their own lives?" This idea came to him after the devastating famine that ravaged his country in 1974, claiming hundreds of thousands of lives at the very least. This tragedy only compounded the suffering of this ancient land of misery and fertility, watered by the Ganges and Brahmaputra rivers, but regularly hit by cyclones and floods.

WE 1 birth of Bangladesh nation 1971; WE3 2 late 1990s women villagers communities first ever connection with electricity and coms ie mobiles; 

video 1 of 20 on women empowerment vision future capitalism 2008 year nobel judges visited dhaka and launched mirpur as first townhall in world to open poverty museums

2008 social business future capitalism videos 

g1 finance youth generation 1.1

g2 food

g3 health : 3.1 Malaria Accountability

g4 learning

g5 women communal sensing - and intel scaling

King Charles-Yunus AI world series green1

revolution 3 happening 2024-5 (in parallel to year 1 after action unsummitfuture.com)

Gemini's View: Maximizing Affordable AI for Bangladesh: A Strategic Approach

Bangladesh, with its burgeoning population and a new government, presents a unique opportunity to leverage AI for transformative development. Here's a strategic approach to maximize affordable AI for the country:

1. Focus on Data Infrastructure

• Data Collection: Invest in robust data collection systems across various sectors, including agriculture, health, education, and finance.
• Data Quality: Prioritize data cleaning, standardization, and quality assurance to ensure AI models' accuracy.
• Data Privacy: Establish strong data privacy regulations to protect citizens' rights while enabling data utilization for public good.

2. Skill Development

• AI Education: Incorporate AI and data science into the education curriculum at all levels, from primary to higher education.
• Talent Development: Create programs to train a local workforce in AI, machine learning, and data analysis.
• Public Awareness: Educate the public about the benefits and potential of AI, fostering digital literacy.

3. Prioritize Affordable AI Applications

• Agriculture: Use AI for crop yield prediction, disease detection, and precision farming to increase food production and farmer incomes.
• Healthcare: Deploy AI for disease diagnosis, drug discovery, and telemedicine to improve healthcare accessibility and quality.
• Education: Utilize AI-powered personalized learning platforms to enhance education outcomes, especially in remote areas.
• Disaster Management: Employ AI for early warning systems, disaster response, and recovery planning.
• Governance: Leverage AI for efficient public service delivery, corruption prevention, and policymaking.

4. Partnerships and Collaboration

• Public-Private Partnerships: Foster collaborations between the government, academia, and the private sector to develop AI solutions.
• International Cooperation: Seek partnerships with developed countries and international organizations to access AI expertise and technology.
• Open Source: Utilize open-source AI tools and platforms to reduce costs and promote knowledge sharing.

5. Ethical Considerations

• AI Ethics Framework: Develop a comprehensive AI ethics framework to guide AI development and deployment.
• Bias Mitigation: Implement measures to address bias in AI algorithms and data.
• Accountability: Establish mechanisms for accountability and transparency in AI systems.

6. Infrastructure Development

• Digital Infrastructure: Invest in expanding internet connectivity and digital infrastructure across the country.
• Computing Power: Ensure access to affordable computing resources for AI development and deployment.

By following these steps, Bangladesh can harness the power of AI to address pressing challenges, improve the lives of its citizens, and achieve its Sustainable Development Goals.

Would you like to focus on a specific area, such as agriculture or healthcare, for a more in-depth analysis?

NET-ECONOMIST VIEW - in 1951 Neumann-Einstein-Turing trained some economist jouralists in back from future of 2025 survey (2025report.com unsummitfuture.com) the diary travels with engineers desigming machines through tese decades when our brains will need to enjoy inteligence tools like mother earth depended on our woorldwide learning-interactions

 bangladesh's revolution 1 began as a new nation - kids and mothers were starving across n90% of the population which lived in vilages engineers had never brough electricity or other grids too; vo=ilage grfranchsies were designed for voilage moethers to value most irgent needs - enough rice to orevent starvaytion- enough veggies to prevent  infants from brain or body stintining; the cure taht was needed to prevent third of indants from dying of diahhea; mass innoculatiosn so that viruses like poloio were ended from earth; women built safe communities while the stringest young men were sent abroad to remit money or connected trade between vilage and city; it mattered that villages design services citizens bought be these clothes, arts or even eg forestry to maintain bangaldesh green and pleasant land; it matered that communities got true warnings of eg weather evenbts; resilience needed to ne last mile local- bangladesh girl power shared solutions all across tropical asia's contient;and of coiurse the generation of boys advanced bootom of pyrmaid marh=kets to - this brought us to the late 1990s when paryners brough vilage women mobile telecoms and solar- 2.0 intelligence connects the wolutions they built - eg money as mobile points ending all teh socts of distributing cash safely;  by 2000 probably 20% of people lived in cities with another 20% wanting to; meanwhile in the west inteligence tools were questioning what does gov2.0 look like; how do we go from 2000 milnnium goals being a greenwashing charter to 2015 goals being what gov2.0 and inteligence for all is designed around; in 2024 adter 14 years of abuse by old government , dr yunus was aksed to tranbform every dynamic of government - the nation's gov2.0 - and its 3rd human netrwirking rebolution in little more than half a century of=or;the reality the world roung is that the generaqtive exchanges between parents of 1950s, of 1984 and of eg yesar of covid 2020 have avve=celerated so that in tese 2020s thedecision all 8 bilion peope uniute will determine whether oyrvspoecies is smrat enough to see a 22nd century

Maximizing Affordable AI for Bangladesh: A Strategic Approach

Bangladesh, with its burgeoning population and a new government, presents a unique opportunity to leverage AI for transformative development. Here's a strategic approach to maximize affordable AI for the country:

1. Focus on Data Infrastructure

• Data Collection: Invest in robust data collection systems across various sectors, including agriculture, health, education, and finance.
• Data Quality: Prioritize data cleaning, standardization, and quality assurance to ensure AI models' accuracy.
• Data Privacy: Establish strong data privacy regulations to protect citizens' rights while enabling data utilization for public good.

2. Skill Development

• AI Education: Incorporate AI and data science into the education curriculum at all levels, from primary to higher education.
• Talent Development: Create programs to train a local workforce in AI, machine learning, and data analysis.
• Public Awareness: Educate the public about the benefits and potential of AI, fostering digital literacy.

3. Prioritize Affordable AI Applications

• Agriculture: Use AI for crop yield prediction, disease detection, and precision farming to increase food production and farmer incomes.
• Healthcare: Deploy AI for disease diagnosis, drug discovery, and telemedicine to improve healthcare accessibility and quality.
• Education: Utilize AI-powered personalized learning platforms to enhance education outcomes, especially in remote areas.
• Disaster Management: Employ AI for early warning systems, disaster response, and recovery planning.
• Governance: Leverage AI for efficient public service delivery, corruption prevention, and policymaking.

4. Partnerships and Collaboration

• Public-Private Partnerships: Foster collaborations between the government, academia, and the private sector to develop AI solutions.
• International Cooperation: Seek partnerships with developed countries and international organizations to access AI expertise and technology.
• Open Source: Utilize open-source AI tools and platforms to reduce costs and promote knowledge sharing.

5. Ethical Considerations

• AI Ethics Framework: Develop a comprehensive AI ethics framework to guide AI development and deployment.
• Bias Mitigation: Implement measures to address bias in AI algorithms and data.
• Accountability: Establish mechanisms for accountability and transparency in AI systems.

6. Infrastructure Development

• Digital Infrastructure: Invest in expanding internet connectivity and digital infrastructure across the country.
• Computing Power: Ensure access to affordable computing resources for AI development and deployment.

By following these steps, Bangladesh can harness the power of AI to address pressing challenges, improve the lives of its citizens, and achieve its Sustainable Development Goals.

Would you like to focus on a specific area, such as agriculture or healthcare, for a more in-depth analysis?

 

Did 20th C make our brains' neural network more intelligent or more ignorant?

 apres ski members of  my extended family and daispora scots exchnaged notes on a very noisy 20th century- how media has become ver more fake scares us especially when presentin that concern at Harvard- i was told you may be correct in your concern over thst expoentil risk but US will nver fund tha reseaarch

sources included dad's 50th year as vonneumann biographer; 54th year of practice as Economist sub-edito9rt. mine as 2oth year as dtabank researcher of a [project started at mit/haravrad express database (what did peoples of different nations demand from value chain brand leaders. Da'ds life had been concerned with connect aisan and atlantic peopl;e since spending hois last days as teen allied bombe commang (burma campaign) from 1982 ten year of york for Unilever across Asia had made me Bostonian's number 1 databant data entrant

by the late 19890s it was not uncommon fir brand leaders to spoend a billions of dollars a year co,peting for your brain cells; whilst much market research was as trivial as do you respond to  a bran d name  : no awares, prommpted awarenessd, spontaneous awaress; the reality wasd a brand in a person's brain oftern traced  hundreds of memoriusers in its overall identity : colors, logos, interpersonal stiories, meainings from magiuc moments in life and if that was the customer end- which corpoare functions were proud about the nrand- overall who'd uniquely miss what if the brabd ceased to exist. Foir 25 years I did market resear hof people's minds without readinging  V Neumann's last booklet - the computer and the brain. wow so engineers seee intelligence as augmenting hiuamn brains not just training up compueters brins

Back in 1984 dad and my boiok 2025 report- hypothesised the main game would be over- sustainability of system design would be won or lost for iur species Have allok what that means in last months of 2024 - tik tok 2024/08 ...

Meanwhile having spend a devade tering to get the world's largest ad agencies and accountats to value up to 90%  of goodwill no longer counted by tangible accountant- i guest edited triple soecial issue of journal of brand managment on Brand Reality; and want to charter intelliugen as seen by leading pacigifc coast us cities versus atlantic ones. Dad says  hi 1982 survey why n ot silicon valley  everywhre still has been applied much except by a few most loyal Economist Readers. 

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