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It's Time to Prioritize Energy Efficient Green Artificial Intelligence

#artificialintelligence

Rapid developments in AI have triggered digital advancements in almost every industry. The technology is capable of construing data contextually to provide requested information, supply analysis, and push events based on findings. Simultaneously, businesses need to meet social, investor and regulatory requirements regarding how they use advanced technologies like AI. Significantly, it is also crucial that organizations must commit to using the technology with a purpose, which leads to the way of sustainable development. In its recent study, the Allen Institute for AI argued the prioritization of "Green AI" efforts that focus on the energy efficiency of AI systems. The study was based on many high-profile advances in AI that have wavered carbon footprints.


It's Time to Prioritize Energy Efficient Green Artificial Intelligence

#artificialintelligence

Rapid developments in AI have triggered digital advancements in almost every industry. The technology is capable of construing data contextually to provide requested information, supply analysis, and push events based on findings. Simultaneously, businesses need to meet social, investor and regulatory requirements regarding how they use advanced technologies like AI. Significantly, it is also crucial that organizations must commit to using the technology with a purpose, which leads to the way of sustainable development. In its recent study, the Allen Institute for AI argued the prioritization of "Green AI" efforts that focus on the energy efficiency of AI systems. The study was based on many high-profile advances in AI that have wavered carbon footprints.


AI Invents Ways to Protect Nuclear Waste Sites - Nerdist

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OpenAI's new immensely convincing language generator, GPT-3, recently demonstrated its rhetorical prowess when it argued the case for why it's harmless. Now, research scientist Janelle Shane has used the tool to generate something a bit more lighthearted. Namely, ideas on how to make nuclear waste sites safe for thousands upon thousands of years. Are you not terrified and repulsed?? I prompted GPT-3 with some human proposals for marking a nuclear waste site, in a way that will still be forbidding millennia from now.https://t.co/3v8uPJ98mo


How can artificial intelligence help to fight climate change?

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Climate change is the planet's biggest challenge and Artificial Intelligence (AI) could provide the right tools in the global fight. There is still a lot we don't know about planet Earth, and advanced machine learning and AI could offer a'silver bullet' to help us unravel the mysteries of our atmosphere, oceans and cryosphere. AI will become key for scientists in predicting extreme weather, alerting them to severe rainfalls, hurricanes and other events as the world warms. AI is also being developed to track where air pollution is also coming from. In this live chat, you'll meet AI experts who're using the power of artificial intelligence and machine learning to reveal the secrets of our climate and weather systems.


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.


How AI can give endangered elephants a fighting chance

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At present, more African elephants are dying than being born. Over the last century, the world's elephant population has declined 97% from trophy hunters, ruthless ivory mercenaries, and even terrorist groups. The Wildlife Conservation Society has pointed out that the global ivory trade leads to the death of up to 35,000 elephants a year in Africa. It's easy to point a finger at China as the biggest market for poached ivory in the world, yet only five years ago more than a ton of confiscated ivory was crushed in New York's Times Square by the Wildlife Conservation Society.


Mosques Smart Domes System using Machine Learning Algorithms

arXiv.org Artificial Intelligence

Millions of mosques around the world are suffering some problems such as ventilation and difficulty getting rid of bacteria, especially in rush hours where congestion in mosques leads to air pollution and spread of bacteria, in addition to unpleasant odors and to a state of discomfort during the pray times, where in most mosques there are no enough windows to ventilate the mosque well. This paper aims to solve these problems by building a model of smart mosques domes using weather features and outside temperatures. Machine learning algorithms such as k Nearest Neighbors and Decision Tree were applied to predict the state of the domes open or close. The experiments of this paper were applied on Prophet mosque in Saudi Arabia, which basically contains twenty seven manually moving domes. Both machine learning algorithms were tested and evaluated using different evaluation methods. After comparing the results for both algorithms, DT algorithm was achieved higher accuracy 98% comparing with 95% accuracy for kNN algorithm. Finally, the results of this study were promising and will be helpful for all mosques to use our proposed model for controlling domes automatically.


How researchers are using AI to reduce air pollution in Uganda - Google

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Along with a dedicated team of students, Engineer installs air sensors on top of buildings and the backs of motorbike taxis ― known as boda bodas and one of the city's most common forms of transportation ― to collect pollution data from all over the city. The team then uses cloud-based AI software to analyze air particle data in real-time and predict local pollution. These forecasts offer Kampala's communities a way to reduce their risk of exposure and are being used by government agencies to improve air quality on the ground. Engineer and the team at Makerere University are one of 20 organizations selected from more than 2,600 applicants to receive a grant through the Google AI Impact Challenge: the Google.org Through this program, the Makerere team also received coaching and mentorship from Google and DeepMind AI experts over the course of a 9-month AI accelerator.


Council Post: Why We Should Care About The Environmental Impact Of AI

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Artificial intelligence (AI) is a subject of great debate when it comes to ethics, but one area people might not think about is its carbon footprint. A study released last year by MIT Technology Review found that training a "regular" AI using a single high-performance graphics card has the same carbon footprint as a flight across the United States. Training a more sophisticated AI was even worse, pumping five times more CO2 into the atmosphere than the entire life cycle of an American car, including its manufacturing. Whether it's the latest AI or machine learning algorithm that's active on a system, a new 5G network deployed at a commercial building or people streaming the latest Twitch gaming video, people generate and consume a lot of data. All that data must be captured, stored, analyzed and sent back out, which requires significant amounts of processing power.


How Artificial Intelligence can help improve air quality – IAM Network

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When we think of air pollution, we often think of Delhi, perhaps Beijing, or even Shanghai. Hence, the World Health Organisation (WHO) reports that 9 out of 10 people around the world breathe polluted air.As humans, we contribute the most to air pollution by using energy to drive our vehicles, power our houses, run our data centers, and to travel. So much so that everything we use today was made at a factory that has contributed to air pollution.Today, technology has become an enabler to help address air pollution. It can aid in better measurement, identify its sources, develop policies, forecast, predict, and apply logic to problem solving. It can also provide elaborate opportunities for organisations and governments to optimise their operations and reduce their impact.Thanks to Artificial Intelligence (AI), air pollution can now be addressed more effectively.