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Carbon offsets, often used by companies to compensate for their emissions, are another area facing limitations. As AI adoption grows, the scale of emissions is likely to outstrip the capacity of carbon offset initiatives. Companies cannot rely on these mechanisms alone to achieve their sustainability targets.
By combining robotics, automation, and artificial intelligence (AI), Maryland Engineering researchers and students are building solutions that can help save lives, protect property, and safeguard the environment.
GEP®, a leading provider of AI-driven procurement and supply chain software and services for Fortune 500 and Global 2000 enterprises worldwide, announced that GEP SOFTWARE™ has once again secured the top ranking in source-to-pay (S2P),
A bill that cleared the state Senate Environment and Energy Committee would require AI data centers to be powered by clean energy.
Dr Desmond Rowland Eteh is a geoscientist and environmental expert based in Port Harcourt. He is a data scientist and geospatial analyst with Golden Viosam Limited. In this interview with Kingsley Alumona,
Although one of the biggest concerns about AI is how much energy it gobbles up, Earth scientists say AI tools can supplement traditional climate and weather modeling while using less energy.
AI is well-suited to simplify compliance and help regulators foresee the consequences of proposed regulations.
While AI has come under scrutiny for energy use, a less discussed but equally concerning trend is the growth in resource use and electronic waste from computing and data center infrastructure. Circular economy principles can help mitigate negative environmental and social impact from the AI boom.