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Can Artificial Intelligence Save the Regulatory State?

#artificialintelligence

The Department of Justice recently sued Google for allegedly monopolizing the market for search engines. The Department's complaint alleges that Google took numerous actions well before 2010 that formed part of the claimed antitrust violations. I have no comment about the merits. What I do want to call attention to, however, are the dates: a lawsuit beginning in 2020 to try to correct the market consequences of actions that began more than 10 years ago. The revolution that some scholars call "regulating by robot" is already underway.


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

#artificialintelligence

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?

#artificialintelligence

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

#artificialintelligence

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.


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.


AI Weekly: What ML practitioners are doing about climate change

#artificialintelligence

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.


AI Weekly: What ML practitioners are doing about climate change

#artificialintelligence

A lot happened this week deserving of attention 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 Keith Alexander to its board -- the man 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 important events on people's minds. This week without question it's the smoke that's hung over the western United States and the underlying issue of climate change.


How AI can give endangered elephants a fighting chance

#artificialintelligence

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.