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How ensembles can reduce machine learning's carbon footprint - Dataconomy

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Commercial and industrial applications of artificial intelligence and machine learning are unlocking economic opportunities, transforming the way we do business, and even helping to solve complex social and environmental problems. In fact, generative applications of this technology have become tools for environmental sustainability. With machine learning's capability to analyze and make predictions using massive pools of data, these applications are now able to accurately model climate change and fluctuations, so that energy infrastructures and energy consumption can be re-engineered accordingly. Ironically, training large-scale models via deep neural networks requires vast computational power. It also produces a great deal of thermal energy from each of the associated graphics processing units (GPUs) or tensor processing units (TPUs) used.


Breakthrough Days - AI for Good Global Summit 2020

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The 2020 Breakthrough Days event aims to generate and fuel meaningful projects in each of this year's three AI for Good Global Summit domains – Gender, Food, and Pandemics – that will advance progress on the UN Sustainable Development Goals (SDGs). Hear from keynote speakers and participate in interactive workshops designed to launch solutions to some of the world's greatest challenges. "Beneficial AI to advance SDGs" Keynote Speaker: Stuart Russell, Professor of Computer Science at UC Berkeley Moderator: Amir Banifatemi, Chief Innovation Officer, XPRIZE; Chair of the AI for Good Programme Committee In an effort to allow teams to prepare for main stage presentations on Monday and Tuesday, we have designated Friday 25 September as a time for teams and attendees to converse individually. Please use the AI for Good workspace on Slack to continue the conversation. Join us on Monday 28 September as we hear from teams in each of this year's AI for Good Breakthrough Track "What is AI for Good Anyway?" Keynote Speaker: Sasha Luccioni, Postdoctoral Researcher – AI for Humanity, Université de Montréal, Mila – Quebec AI Institute Moderator: Amir Banifatemi, Chief Innovation Officer, XPRIZE; Chair of the AI for Good Programme Committee Keynote Address Keynote Speaker: Peter H. Diamandis, entrepreneur, founder and executive chairman of the XPRIZE Foundation, Bestselling author of "Abundance – The Future Is Better Than You Think" Moderator: Amir Banifatemi, Chief Innovation Officer, XPRIZE; Chair of the AI for Good Programme Committee Interested individuals and teams from around the world have submitted project ideas to the Gender, Food and Pandemics Breakthrough Tracks. After being mentored by world-renowned experts and Brain Trusts, the top three finalists in each domain have been selected to present their project proposals in a series of interactive workshops during the Breakthrough Days event.


Global Big Data Conference

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Amazon's 2019 Climate Pledge calls for a commitment to net zero carbon across their businesses by 2040. Since then, the company has reduced the weight of their outbound packaging by 33%, eliminating 915,000 tons of packaging material worldwide, or the equivalent of over 1.5 billion shipping boxes. With less packaging used throughout the supply chain, volume per shipment is reduced and transportation becomes more efficient. The cumulative impact across Amazon's enormous network is a dramatic reduction in carbon emissions. To make this happen, the customer packaging experience team partnered with AWS to build a machine learning solution powered by Amazon SageMaker.


MusicalAmerica - Press Releases

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"Rich and vibrant in texture, it again draws on this ensemble's deep palette of vocal colours" – Gramophone Magazine New York, NY (September 17, 2020) -- GRAMMY-nominated vocal quartet New York Polyphony announces the release of Aleph Earth, a groundbreaking audiovisual work developed in collaboration with the University of Oregon's Artificial Intelligence Creative Practice Research Group (AICP). A poignant statement on the global climate crisis, the project uses as a soundtrack New York Polyphony's world premiere recording of Spanish Renaissance composer Francisco de Peñalosa's Lamentationes Jeremiae Feria V from their critically acclaimed September 2019 album on BIS Records, Lamentationes. Aleph Earth premiered at the 2020 Currents New Media Festival in August and September, and is available for presenters to book as a virtual concert or educational event through Opus 3 Artists. In creating the 12-minute visual presentation, AICP drew inspiration from Lamentationes Feria V's compositional complexity, as well as the subject matter of the text. "It's a setting of the poetic reflections of the Prophet Jeremiah on the destruction of Jerusalem in 586 BC," explains New York Polyphony's bass and University of Oregon music professor Craig Phillips.


Can AI solve the climate crisis?

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The numbers are well known by now: the world has warmed by 1.1 degrees Celsius compared to pre-Industrial levels at the time of writing, and is on track for the worst case scenarios projected. This year, we saw astonishing temperature records in the Arctic Circle and an ever ongoing loss of biodiversity. Simultaneously, we've seen massive leaps in technology. Artificial intelligence, in particular, has captured worldwide attention: from deep fakes and AI twitter bots influencing elections, to its increased use by companies to gain a competitive edge. We're at the start of the fourth industrial revolution, driven by AI; fundamentally impacting our lives and society as a whole.


How Amazon is using machine learning to eliminate 915,000 tons of packaging

#artificialintelligence

Amazon's 2019 Climate Pledge calls for a commitment to net zero carbon across their businesses by 2040. Since then, the company has reduced the weight of their outbound packaging by 33%, eliminating 915,000 tons of packaging material worldwide, or the equivalent of over 1.5 billion shipping boxes. With less packaging used throughout the supply chain, volume per shipment is reduced and transportation becomes more efficient. The cumulative impact across Amazon's enormous network is a dramatic reduction in carbon emissions. To make this happen, the customer packaging experience team partnered with AWS to build a machine learning solution powered by Amazon SageMaker.


Has Artificial Intelligence helped meteorologists predict future weather patterns?

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The process of predicting accurate weather patterns has always been a challenge for meteorologists. The complexity is in observing and processing vast amounts of data, and because most of the weather stations would never be able to collect, process and store so much information. With traditional models, the systems have to read huge data sets from several weather stations that would take many hours to predict the weather accurately. The good news is artificial intelligence (AI) has been able to outperform these traditional methods by streamlining the weather forecasting process while bringing accuracy and reliability in assessing weather reports. The amount of data received from global sensors, weather stations, satellites, and radar, is staggering. The estimation often goes well beyond trillions of data points and is expected to continue to grow.


Schneider Electric adds robo-advisor to climate change, sustainability services

ZDNet

Infrastructure around the world is being linked together via sensors, machine learning and analytics. We examine the rise of the digital twin, the new leaders in industrial IoT (IIoT) and case studies that highlight the lessons learned from production IIoT deployments. Schneider Electric will launch a robo-advisor approach to climate change and sustainability with the help of machine learning, artificial intelligence and data science. The company, best known for its EcoStruxure platform for the industrial sector as well as data centers, will offer AI-assisted advising to its energy and sustainability services. Schneider Electric is emerging as a critical edge computing player.


Google says it offset all of the emissions it has ever generated

Engadget

As of today, Google has eliminated its entire "carbon legacy." By that, the company means it has purchased high-quality carbon offsets to match all of the emissions ever produced by its data centers and campuses. That includes the emissions generated before Google became carbon neutral in 2007. The company says it's the first in the world to eliminate its carbon legacy. Carbon offsets are credits for renewable energy that are meant to compensate for emissions made elsewhere.


AI Weekly: What ML practitioners are doing about climate change

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A lot happened this week in the AI space. The Guardian wrote an article with GPT-3 and again demonstrated that no matter what OpenAI paid to train and create the language model, the free marketing might be worth more. After losing the JEDI cloud contract appeal with the Pentagon, Amazon appointed to its board Keith Alexander, who oversaw the National Security Agency mass surveillance revealed by Edward Snowden leaks in 2013. And Portland passed the strictest facial recognition bans in U.S. history, outlawing government and business use of the technology. However, AI Weekly attempts to reach into the zeitgeist and highlight the issues on people's minds. This week without question it's the smoke that has hung over the western United States and the underlying problem of climate change.