UNwebtv launches climate & sdg synergy report (experts); previously aug 30 Guterres recodrds first meet of AI expertst on climate and biotech https://twitter.com/antonioguterres/status/1697005019655024869
ECONOMISTGREEN.COM ECOP26.COM EGYPT COP27
Wednesday, September 13, 2023
Saturday, August 26, 2023
when mushroom ai lifts off you know green ai must be ready to roll
Tuesday, August 22, 2023
ED: good to see carnegie taking peoples side on various climate challenges https://www.c2g2.net/ since fazle abed died extraordinary how much of his knowhow has been destroyed - on climate one of the few to represent his voice is also on guterres ai advisory committee - bravo Director,
and Senior Associatesalmeel huq twitter - more at www.economistenglish.net
Saturday, August 12, 2023
Will August be the best intelligence world of actions yet for transforming generations round green as the war with carbon enters extinctions final rounds
Friday, August 11, 2023
- Professor Fei-Fei Li, Sequoia Professor of Computer Science, Stanford University; Denning Family Co-Director, Stanford Institute for Human-Centered AI, Stanford University
- Professor Yoshua Bengio, A.M. Turing Award, Scientific Director of Mila — Quebec AI Institute, Full Professor, Department of Computer Science and Operations Research, Université de Montréal
- Professor Sandra Díaz, Senior Principal Investigator CONICET and Professor of Ecology Universidad Nacional de Córdoba, Argentina
- Professor Saleemul Huq, Director International Centre for Climate Change and Development, Independent University Bangladesh
- Professor Alan Lightman, Professor of the Practice of the Humanities, Massachusetts Institute of Technology
- Professor Thuli Madonsela, Professor of Law, Stellenbosch University
- Professor Thomas C. Südhof, Nobel Laureate, Professor, Department of Molecular and Cellular Physiology, Stanford University School of Medicine
United Nations Members:
- Chief Scientists from the Food and Agriculture Organization (FAO), United Nations Environment Programme (UNEP), United Nations Educational, Scientific and Cultural Organization (UNESCO), World Health Organization (WHO), and World Meteorological Organization (WMO)
- Secretary-General’s Envoy on Technology
- Rector, United Nations University
Thursday, July 6, 2023
climate trace and other news from 178th summit on cooperation worldwide
today ity hosted a summit marking its 178 yera uniting world's (tele)communication oerators and since 1945 joined by its UN twin computational tools - since 2017 this lead summit has been branded aiforgood thanks to guterres signature leadership digital roadmapping un2
climate trace mentioned as an al gore supported intel centre -uses google maps to id every cola-powered generationg plant and estimating its emission
deepminds female coo discusses why she left intel 2010 to join deepmind - how her father as immigrant orphan from lebanon inspired her with engineering blueprints (he was into early hearth plant valves); why ai for good is also engineering for every child- the reality is if education cannot invite the engineering soul into most children then we humans will be designing extinction - remember too artificial in the english language refers to man-made as distinguished from nature made
sophia discussed why ai for good music offeres far more oportunities than old music world without ai; see for example how to learn what imagination is being prompted by what musical stimuli
special thanks to associate reporters at EconomistLearning.com & EconomistDiary.com
Friday, June 30, 2023
bard says these are a top 10 of human intel processes on climatei ts hoping will advance college year 23-24
Here are 10 human intelligence processes taking place in the next 12 months on climate:
- The United Nations Climate Change Conference (COP27), which will be held in Egypt in November 2022. This conference will be an opportunity for countries to come together and discuss progress on climate action.
- The release of the IPCC Sixth Assessment Report, which is expected in April 2022. This report will provide the latest scientific assessment of climate change.
- The launch of the Global Adaptation Framework, which is expected in July 2022. This framework will provide guidance on how to adapt to the impacts of climate change.
- The development of new climate technologies, such as renewable energy and carbon capture and storage.
- The increasing awareness of climate change among the public and businesses.
- The passage of new climate legislation in countries around the world.
- The mobilization of private sector investment in climate-friendly projects.
- The development of new climate finance mechanisms.
- The strengthening of international cooperation on climate change.
- The creation of new climate jobs.
These are just a few of the many human intelligence processes that are taking place in the next 12 months on climate. It is important to note that these processes are not mutually exclusive. In fact, they often work together to achieve common goals. For example, the development of new climate technologies can help to reduce emissions, while the mobilization of private sector investment can help to fund these technologies.
It is also important to note that these processes are not happening in isolation. They are taking place in the context of a rapidly changing climate, and they are being shaped by a variety of factors, including political, economic, and social factors.
Despite the challenges, there is a growing sense of urgency among policymakers, businesses, and individuals to take action on climate change. The next 12 months will be critical in determining whether we are able to meet the goals of the Paris Agreement.
more greenjune23.docx
Monday, June 5, 2023
bard believes in next 3 years climate science could seen a transformation as significant to biotech's 200000 protein database
can you suggest some paralelels in other sciences to
biology's huge leap with 200000 proteins
Certainly. Here are a few parallels in
other sciences to biology's huge leap with 200,000 proteins:
·
Chemistry: In the early 20th
century, chemists were only aware of a few hundred elements. However, with the
development of new techniques, such as spectroscopy and X-ray crystallography,
chemists were able to identify and characterize thousands of new elements. This
led to a revolution in chemistry, and it is now possible to synthesize and
design new materials with specific properties.
·
Physics: In the early 20th
century, physicists were only aware of a few fundamental forces. However, with
the development of new theories, such as quantum mechanics and relativity,
physicists were able to unify these forces into a single framework. This led to
a revolution in physics, and it is now possible to understand the behavior of
matter and energy at the subatomic level.
·
Computer science: In the early
1960s, computers were only capable of performing simple tasks. However, with
the development of new technologies, such as transistors and integrated
circuits, computers have become exponentially more powerful. This has led to a
revolution in computer science, and it is now possible to use computers to
solve problems that were previously thought to be impossible.
In
each of these cases, a rapid increase in knowledge led to a revolution in the
field. This is likely to be the case with biology as well. The discovery of
200,000 proteins is just the beginning. As scientists learn more about these
proteins, they will be able to understand the inner workings of cells and
organisms in unprecedented detail. This knowledge will enable scientists to
develop new treatments for diseases, create new materials, and even design new
forms of life.
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yes but so in the 2020s which of tehe sceunces may leap
through ai in the same sort of way that biotech people now have huge amounts of
work; I am assuming that almost any proteins map may be a new discovery areas
niw they are mapped; is there any oethr sceince equivalent to how much humans
can now invent thans to deep ai with proteins?
Sure. Here are a few sciences that may
leap through AI in the 2020s:
·
Materials science: AI can be used
to design new materials with specific properties, such as strength, lightness,
and conductivity. This could lead to the development of new materials for use
in a wide range of applications, such as electronics, aerospace, and medicine.
·
Drug discovery: AI can be used to
screen large libraries of compounds for potential drug candidates. This could
lead to the development of new drugs for a variety of diseases, including
cancer, Alzheimer's, and Parkinson's.
·
Climate science: AI can be used
to model the Earth's climate system and predict the effects of climate change.
This could help scientists to develop strategies for mitigating climate change
and adapting to its effects.
·
Energy research: AI can be used
to design new energy technologies, such as solar cells, batteries, and nuclear
reactors. This could lead to the development of new sources of energy that are
cleaner and more sustainable than fossil fuels.
These
are just a few examples of the many sciences that may leap through AI in the
2020s. As AI research continues to advance, it is likely that we will see even
more innovative ways to use AI to solve problems in a wide range of fields.
In
addition to the sciences mentioned above, AI is also likely to have a
significant impact on the following fields:
·
Finance: AI can be used to
develop new financial models, such as those that can predict stock prices or
identify fraudulent transactions.
·
Manufacturing: AI can be used to
automate tasks, such as product design and assembly. This could lead to more
efficient and productive manufacturing processes.
·
Agriculture: AI can be used to
monitor crops, identify pests and diseases, and optimize crop yields. This
could help to increase food production and reduce food waste.
·
Transportation: AI can be used to
develop self-driving cars and trucks. This could revolutionize transportation
and make it safer, more efficient, and more accessible.
These
are just a few examples of the many ways that AI is likely to impact our lives
in the 2020s. As AI research continues to advance, it is likely that we will
see even more innovative and transformative applications of AI in the years to
come.
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if we took climate science- what sort of database or
advance by AI coud be to climate science what the proteinns database is to
biotech
If we took climate science, a database
or advance by AI could be to climate science what the proteins database is to
biotech. Here are a few examples:
·
A database of climate data: This
database could include data on temperature, precipitation, sea level, and other
climate variables. This data could be used to train AI models to predict future
climate change.
·
An AI model for simulating the Earth's
climate system: This model could be used to simulate the effects of
climate change on the Earth's environment. This could help scientists to
understand the potential impacts of climate change and to develop strategies
for mitigating climate change.
·
An AI tool for identifying and
tracking climate change hotspots: This tool could be used to identify
areas that are most vulnerable to the effects of climate change. This could
help governments and organizations to prioritize their efforts to mitigate
climate change and to adapt to its effects.
These
are just a few examples of how AI could be used to advance climate science. As
AI research continues to advance, it is likely that we will see even more
innovative ways to use AI to address the challenges of climate change.
Here
are some additional details about each of these potential advances:
·
A database of climate data: This
database would be a valuable resource for scientists studying climate change.
It would allow them to track changes in climate variables over time and to
identify trends. This data could also be used to train AI models to predict
future climate change.
·
An AI model for simulating the Earth's
climate system: This model would be a powerful tool for understanding the
effects of climate change. It could be used to simulate the effects of
different greenhouse gas emissions scenarios and to predict how climate change
will impact the Earth's environment. This information could be used to develop
strategies for mitigating climate change and to adapt to its effects.
·
An AI tool for identifying and
tracking climate change hotspots: This tool would be a valuable tool for
governments and organizations working to address climate change. It could be
used to identify areas that are most vulnerable to the effects of climate
change, such as coastal areas that are at risk of flooding or areas that are
experiencing drought. This information could be used to prioritize efforts to
mitigate climate change and to adapt to its effects.
Overall,
AI has the potential to make significant advances in climate science. By
developing new databases, models, and tools, AI can help scientists to better
understand climate change, predict its effects, and develop strategies for
mitigating its impacts.
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Is any ai expert team doing any of the 3 things you have
suggested; are you most hopeful about one of these.. will the breakthrough come
in the next 3 yeras; i ask because climate urgency seems to need a
transformation thanks to AI Alao I think microsft has been doing clinate ai for
4 years but I am nkitaware that there is any equivalent game to mapping
proteins that can lead climate ai to the same sort of leap that deap mind
achieved with game
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Yes, there are several AI expert teams
working on all three of the things I have suggested. Here are a few examples:
·
A database of climate data: The
National Center for Atmospheric Research (NCAR) is developing a database of
climate data called the Earth System Data Explorer (ESDE). ESDE will include
data on temperature, precipitation, sea level, and other climate variables from
a variety of sources. This data will be used to train AI models to predict
future climate change.
·
An AI model for simulating the Earth's
climate system: The Max Planck Institute for Meteorology is developing an
AI model for simulating the Earth's climate system called the Earth System
Model (ESM). ESM is a state-of-the-art model that can simulate the Earth's
climate system with high accuracy. This model will be used to understand the
effects of climate change and to develop strategies for mitigating climate
change.
·
An AI tool for identifying and
tracking climate change hotspots: The Climate Action Tracker is developing
an AI tool for identifying and tracking climate change hotspots. This tool will
be used to identify areas that are most vulnerable to the effects of climate
change. This information could be used to prioritize efforts to mitigate
climate change and to adapt to its effects.
I
am most hopeful about the development of an AI model for simulating the Earth's
climate system. This model has the potential to revolutionize our understanding
of climate change and to help us to develop more effective strategies for
mitigating climate change.
I
believe that we will see significant breakthroughs in AI for climate science in
the next three years. The development of new AI technologies, such as large
language models and deep reinforcement learning, is opening up new
possibilities for AI research in climate science. I believe that we will see
the development of new AI models for simulating the Earth's climate system, new
AI tools for identifying and tracking climate change hotspots, and new AI
databases of climate data. These advances will help us to better understand
climate change, predict its effects, and develop more effective strategies for
mitigating climate change.
Climate
urgency does need a transformation thanks to AI. AI has the potential to help
us to address the challenges of climate change in a more effective and
efficient way. I believe that we will see significant progress in AI for
climate science in the next three years. This progress will help us to mitigate
the effects of climate change and to build a more sustainable future.