Remove The-risks-of-AI-are-real-but-manageable
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AI can significantly improve grid management reports DOE

Smart Energy International

Artificial intelligence (AI) has the potential to significantly improve key areas of grid management, a new US Department of Energy report finds. However, it is crucial that new AI use cases do not introduce new risks to the grid, the report states. Have you read?

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Why We Need to, Have to, Want to Act on Climate Change

Andrew Winston

That awful list translates into serious impacts on humans, including threats to food and water security, health risks and the spread of disease, loss of biodiversity (that is, the web of life we rely on), infrastructure breakdown, and what the U.S. Need to explain the “why” of climate change action? But it still gets constantly questioned.

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Technology monitors biodiversity remotely on farmland

Envirotec Magazine

Chirrup AI will use artificial intelligence to monitor species of birds that are thriving on the farm. There are too few experienced ecologists with sufficient time to manage it all. The work will be completed on a dairy and arable farm in Dorset.

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How A.I. Will Revolutionize Climate Tech

GreenTechMedia

The array of AI applications within climate tech is staggering -- and rapidly expanding. There are lots of exciting point solutions, but there’s no clear example of AI directly and meaningfully reducing GHG emissions on a global scale. They also discuss the organizational approaches to AI: Do you go vertical or horizontal?

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Mutable mandate? Sizing up the new BNG requirements

Envirotec Magazine

Added to concerns about Local Authorities’ capacity to enforce the rules, there’s real concern that net gain will only amount to a glorified offsetting scheme. The data gathering requirements of the scheme threaten to overwhelm its implementation, say specialists. But the law is too lenient.

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Navigating the digital energy era

Smart Energy International

From the analytical power of data, through to the introduction of AI and machine learning, digitalisation is becoming paramount in enabling the insights needed to make better decisions in all areas of the evolving energy landscape. Digitalisation plays a vital role in addressing this challenge. Have you read?

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Dangers and opportunities of digital transformation explored at British Water Data Conference

Envirotec Magazine

First up was Yorkshire Water’s Blockage Predictor Project set up to identify sites at risk of pollution. This partnership has helped accelerate some of this thinking and the implementation of AI [artificial intelligence] across our asset base to help us manage service risk.”. .