Goto

Collaborating Authors

 greenhouse gas


The Download: how AI is improving itself, and hidden greenhouse gases

MIT Technology Review

He seems to have a recipe for achieving that goal, and the first ingredient is human talent: Zuckerberg has reportedly tried to lure top researchers to Meta Superintelligence Labs with nine-figure offers. The second ingredient is AI itself. Zuckerberg recently said on an earnings call that Meta will focus on building self-improving AI--systems that can bootstrap themselves to higher and higher levels of performance. He hopes to tap into a very real trend. Here are five ways that AI is already making itself better.


The Download: greenhouse gases, and how AI could affect inequality

MIT Technology Review

Sulfur hexafluoride (SF6) is used in high-voltage equipment on the grid. Greenhouse gases are those that trap heat in the atmosphere. SF6 and other fluorinated gases can be thousands of times more powerful at warming the planet than carbon dioxide, and yet, because they tend to escape in relatively small amounts, we hardly ever talk about them. Taken alone, their effects might be minor compared with those of carbon dioxide, but together, these gases add significantly to the challenge of addressing climate change. Casey Crownhart, our senior climate reporter, has drawn up a quick cheat sheet on the most important greenhouse gases you need to know about. This story is from The Spark, our weekly climate technology newsletter.


What Generative Artificial Intelligence Means for Terminological Definitions

Martín, Antonio San

arXiv.org Artificial Intelligence

This paper examines the impact of Generative Artificial Intelligence (GenAI) tools like ChatGPT on the creation and consumption of terminological definitions. From the terminologist's point of view, the strategic use of GenAI tools can streamline the process of crafting definitions, reducing both time and effort, while potentially enhancing quality. GenAI tools enable AI-assisted terminography, notably post-editing terminography, where the machine produces a definition that the terminologist then corrects or refines. However, the potential of GenAI tools to fulfill all the terminological needs of a user, including term definitions, challenges the very existence of terminological definitions and resources as we know them. Unlike terminological definitions, GenAI tools can describe the knowledge activated by a term in a specific context. However, a main drawback of these tools is that their output can contain errors. For this reason, users requiring reliability will likely still resort to terminological resources for definitions. Nevertheless, with the inevitable integration of AI into terminology work, the distinction between human-created and AI-created content will become increasingly blurred.


Pennsylvania Gov. Shapiro noncommittal on future of carbon pricing plan

FOX News

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. Gov. Josh Shapiro on Friday remained noncommittal on a strategy to reduce planet-warming greenhouse gases after a task force the Democrat appointed came to an uncertain conclusion over how to make Pennsylvania the first major fossil fuel state to adopt carbon pricing over power plant emissions. The task force sprang from Shapiro questioning his predecessor's use of regulatory authority to join the Regional Greenhouse Gas Initiative, a consortium of 12 eastern states that imposes a price and declining cap on carbon dioxide emissions from power plants. However, the 17-member task force -- comprised of supporters and opponents of former Democratic Gov. Tom Wolf's plan -- could come to no consensus on it. Wolf's regulation allowing Pennsylvania to join the consortium remains hung up in the courts, and Shapiro gave no sign Friday whether he would carry out the consortium's carbon pricing policy should it survive the legal challenge.


Carrypicker startup bets on artificial intelligence

#artificialintelligence

There is no trick to packing a lorry up to its roofline and then sending it from point A to point B – but it is seldom possible. Scheduling gets trickier with partial loads, which are more the rule than the exception. Too often, lorries haul too much empty space around because dispatchers fail to allocate the freight optimally. The net effect is the equivalent of one lorry in three drives around empty on Germany's motorways. This is not just unsatisfying from the standpoint of traffic-prone roads.


Applications of Artificial Intelligence in Carbon Credit Auditing

#artificialintelligence

The total quantity of carbon dioxide (CO2) and other greenhouse gases (GHG) emitted in the lifecycle of the product or service, or in any specific financial year, is referred to as a carbon footprint. The measurement is commonly represented in kilos of CO2 equivalents, accounting for the impacts of various greenhouse gases on global warming. A carbon credit is a marketable permit or certification that entitles the holder to emit one tonne of carbon dioxide or the equivalent of some other greenhouse gas -- it is effectively a carbon offset for greenhouse gas producers. The primary purpose of carbon credits is to help reduce greenhouse gas emissions from industrial activity in order to mitigate the impacts of global warming. They can also sell excess carbon credits.


How AI could help bring a sustainable reckoning to hydropower

#artificialintelligence

Hydropower has been stirring up controversies since the early 2000s. Despite being promoted as a solution to mitigate climate change, the hydropower bubble burst when researchers discovered in 2005 that hydropower dams are responsible for huge amounts of greenhouse gas emissions. Hydropower dams' walls restrict the flow of rivers and turn them into pools of stagnant water. Reservoir surfaces and turbines then release methane into the atmosphere. Methane makes up approximately 80 percent of the greenhouse gases emitted from hydropower dams, peaking in the first decade of the dams lifecycle.


Designing exploratory robots that collect data for marine scientists

#artificialintelligence

As the Chemistry-Kayak (affectionately known as the ChemYak) swept over the Arctic estuary waters, Victoria Preston was glued to a monitor in a boat nearby, watching as the robot's sensors captured new data. She and her team had spent weeks preparing for this deployment. With only a week to work on-site, they were making use of the long summer days to collect thousands of observations of a hypothesized chemical anomaly associated with the annual ice-cover retreat. The robot moved up and down the stream, using its chemical sensors to detect the composition of the flowing water. Its many measurements revealed a short-lived but massive influx of greenhouse gases in the water during the annual "flushing" of the estuary as ice thawed and receded.


How artificial intelligence can help reduce carbon footprint

#artificialintelligence

Carbon emission is one of the biggest causes of environment pollution today. Globally, governments are making efforts on a war footing to reduce carbon emissions. Leveraging artificial intelligence can boost these efforts as it can analyze data, uncover patterns that humans might miss out, and recommend appropriate actions. It is believed that artificial intelligence can help reduce the emission of greenhouse gases by nearly 16%. According to Capgemini Research Institute, by 2030 artificial intelligence can help organizations across sectors such as retail, automotive, and consumer goods to meet upto 45% of the targets as set out by the Paris Agreement.


Training AI to be really smart poses risks to climate

#artificialintelligence

On TikTok, for instance, AI sorts the posts so that the first ones you see are likely to be those you'd prefer. AI serves up the useful results of every Google search. When you ask Siri to play Taylor Swift, AI turns your speech into a command to start her songs. But before an AI can do any of that, developers must train it. In fact, that training's appetite for energy could soon become a huge problem, researchers now worry.