.

Wednesday, November 29, 2023

 

Am i correct in thinking that one of the first projects deep mind did in mluntain view helped optimise google's energy consumption - perhaps saving up to third of energy needed for supercomputing. If so is this an AI service now sold externally?

Yes, you are correct. One of the first projects DeepMind did at Mountain View helped optimize Google's energy consumption, saving up to a third of the energy needed for supercomputing. This project, known as DeepMind Control Network (DCN), was developed in 2016 and used a combination of machine learning and reinforcement learning to optimize the cooling systems in Google's data centers. DCN was able to achieve significant energy savings by learning to anticipate changes in server load and adjusting the cooling accordingly.

DCN was a groundbreaking project that demonstrated the potential of AI to improve energy efficiency. It was also one of the first projects to show that AI could be used to optimize complex real-world systems.

Google has not yet commercialized DCN as a standalone AI service, but the technology has been incorporated into Google's data center operations. Google has also made the DCN software available open source, so that other organizations can use it to optimize their own data centers.

The use of AI to optimize energy consumption is a growing area of research. AI has the potential to be used to optimize energy consumption in a wide range of applications, including buildings, transportation, and manufacturing. As AI technology continues to develop, we can expect to see more and more applications of AI to energy optimization.

Monday, November 27, 2023

 

Hopes for a sustainable planet must not ‘melt away’: Guterres

Secretary-General Ant贸nio Guterres briefs reporters on the climate crisis following his recent travel to Chile and Antarctica.
UN Photo/Eskinder Debebe
 
Secretary-General Ant贸nio Guterres briefs reporters on the climate crisis following his recent travel to Chile and Antarctica.
27 November 2023Climate and Environment

World leaders at this week’s climate conference, COP28, must break the deadly cycle of global warming before a “deadly tipping point” is reached, said the UN chief on Monday.

UN Secretary-General Ant贸nio Guterres was briefing reporters in New York after seeing for himself over the weekend the “profoundly shocking” speed at which ice is melting in Antarctica – three times faster than the rate in the early 1990s.

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New figures reveal that sea ice at the South Pole is now 1.5 million square kilometres below average for this time of year; that’s equal to the combined surface area of Portugal, Spain, France and Germany combined.

Nowhere to hide

“What happens in Antarctica doesn’t stay in Antarctica”, Mr. Guterres said. “We live in an interconnected world. Melting sea ice means rising seas. And that directly endangers lives and livelihoods in coastal communities across the globe.

He noted that it’s not just the impact of floods and saltwater on food and water supplies at stake, but the viability of small islands and entire cities on coasts across the world.

“The movement of waters around Antarctica distributes heat, nutrients and carbon around the world, helping to regulate our climate and regional weather patterns”, he told correspondents outside the Security Council.

“But that system is slowing as the southern Ocean grows warmer and less dense. Further slowdown – or entire breakdown – would spell catastrophe.”

‘Calamitous’ rise

With no let-up in fossil fuel extraction “we’re heading towards a calamitous three-degree Celsius temperature rise by the end of the century”, he warned.

:If we continue as we are, and I strongly hope we will not, the Greenland and West Antarctica ice sheets will cross a deadly tipping point.”

This represents an astonishing rise of around 10 metres.  

The vicious cycle means accelerated heating as ice diminishes and more extreme weather.

At COP28 in Dubai, which starts later this week, “leaders must break this cycle”, the UN chief declared.

The solutions are there

“The solutions are well known. Leaders must act to limit global temperature rise to 1.5 degrees Celsius, protect people from climate chaos, and end the fossil fuel age.”

Only a global pact to triple renewable energy use, a doubling in energy efficiency and access to clean power for all by 2030, will be sufficient, he argued.   

“Antarctica is crying out for action”, the Secretary-General added. “I salute the thousands of researchers – in Antarctica and around the world – expanding our understanding of the changes taking place on the continent.

“They are testament to human ingenuity and the immense benefits of international collaboration. Leaders must not let the hopes of people around the world for a sustainable planet melt away.” 

Tuesday, November 14, 2023

outside box solutions to cop crisis

 1 there's a rumor from my fav chat bard that the people who used ai to catalogue covid solutions when thousands of papers were being written simultaneously may bring out climate solutions llm in time for cop - lets see

at brookings yesterday wonderful transparency on what is needed cine from those asians joining cop week in california  https://www.brookings.edu/events/apec-summit-2023-the-future-of-climate-and-trade-policies-in-a-world-of-geopolitical-divides/

i wanted to include this article - i believe striongly we need to get ai in middle of seeing all our grids but how?

https://www.iea.org/commentaries/why-ai-and-energy-are-the-new-power-couple

Saturday, August 26, 2023

when mushroom ai lifts off you know green ai must be ready to roll

hi may i intro you three energising womens ai connectors souls in case there are win-wins- virtually, i have known Rebecca for quite a ,lng time ; we were early centurions on lunch clubs 1:1 netwirks during covid - she has a retreat boutique conferebce space about hours drive south of boston which she connects women's emotional intelligence but more recently mushroom ai has proved a viral hit to extend the movement https://www.youtube.com/watch?v=74xUVfqdymw meanwhhile randi and kate are both in new York area. Randi is a lawyer of trade etc who did 15 years in china before returning to new York. Inter alia she is helping various plant  protein networks market around the world; more recently our arts crew out of soundtracknewyork have met kate- - she was arguably demings favorite female team leader (also wrote a systems book with a former head of IBM)  and is now up for any way of changing education. 
When I am clueless about something I ask bard - it seemed to add weight to mushroom AI as a potentially huge growing movement  Here's bard: .,...One example of a mushroom green intelligence movement is the MycoMundial project. MycoMundial is a global network of mushroom growers, researchers, and enthusiasts who are working to promote the use of mushrooms for sustainable development. The project has a number of initiatives, including a mushroom cultivation training program and a mushroom research fund.https://www.planetaid.org/blog/what-is-the-zero-waste-movement

https://stablemassage.com.au/the-rise-of-the-plant-based-diet/
The Plant-Based Diet Movement: This movement is promoting the benefits of eating a plant-based diet for human health and for the environment. Plant-based diets are typically lower in saturated fat and cholesterol, and they can help to reduce the risk of chronic diseases such as heart disease, stroke, and cancer. Plant-based diets also require less land and water to produce than animal-based diets, which can help to reduce environmental impact.

https://www.onecommune.com/rewilding-human-movement-free-5-day-pass-sign-up
The Rewilding Movement: This movement is working to restore natural ecosystems that have been degraded by human activity. Rewilding projects often involve the reintroduction of native species, the removal of invasive species, and the restoration of natural processes such as fire and grazing.

t  one of new yorks best friends of celebrating worldwide human intel as well as maths and music in hosting arts salons has been finishing off soundtracks for 45 years including those of john mackey (who has reportedly ended being ceo for whole foods amazon) and marketing a plant food/start up but as brither john is going in for an operation next week i thought it would be best if we tested if there is any cooperation momentum before seeing if he can help amp up chris.macrae@yahoo.co.uk
looking ahead september is the month when the wordkl coses to new york to sort out uniting nations - the fringe events are huge this year now covid is no longer closing humanity dow; i hope to come back withy a log of gren ai and womens ai *** events son - please tell me if you have any- about 70% have virtual as well as real ways to cooperate

ED EW  AM   1bnG & Gworld EU EF  EA EB as well as economistgreen are interested in every human intelligence that has advanced our species these last 75 years - can you help co-create AIgames.solar and Friends20.com as well as any supporting intel thanks to bard.solar

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 Associate

  salmeel 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

 

play AIGames.solar -whose world of humanity & intelligence do you want to see with? tours starting almost daily!
eg whos on spaceship earth (MIT 1979) with UN leader guterres this month
  • 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, Universit茅 de Montr茅al
  • Professor Sandra D铆az, Senior Principal Investigator CONICET and Professor of Ecology Universidad Nacional de C贸rdoba, 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. S眉dhof, 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
If you have been at time place that seemed like a great start that didnt pick up wind, please post it so we can figure out what the missing link to best of human and Ai was - www.aigames.solar www.bard.solar

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:

  1. 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.
  2. 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.
  3. 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.
  4. The development of new climate technologies, such as renewable energy and carbon capture and storage.
  5. The increasing awareness of climate change among the public and businesses.
  6. The passage of new climate legislation in countries around the world.
  7. The mobilization of private sector investment in climate-friendly projects.
  8. The development of new climate finance mechanisms.
  9. The strengthening of international cooperation on climate change.
  10. 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.