IBM and Hugging Face release AI foundation model for climate science

In a bid to democratise access to AI technology for climate science, IBM and Hugging Face have announced the release of the watsonx.ai geospatial foundation model.

The geospatial model, built from NASA’s satellite data, will be the largest of its …

Reduce energy consumption of your machine learning workloads by up to 90% with AWS purpose-built accelerators

Machine learning (ML) engineers have traditionally focused on striking a balance between model training and deployment cost vs. performance. Increasingly, sustainability (energy efficiency) is becoming an additional objective for customers. This is important because training ML models and then using …

Remote monitoring of raw material supply chains for sustainability with Amazon SageMaker geospatial capabilities

Deforestation is a major concern in many tropical geographies where local rainforests are at severe risk of destruction. About 17% of the Amazon rainforest has been destroyed over the past 50 years, and some tropical ecosystems are approaching a tipping …

How Marubeni is optimizing market decisions using AWS machine learning and analytics

This post is co-authored with Hernan Figueroa, Sr. Manager Data Science at Marubeni Power International.

Marubeni Power International Inc (MPII) owns and invests in power business platforms in the Americas. An important vertical for MPII is asset management for renewable …

Integrating humans with AI in structural design

Modern fabrication tools such as 3D printers can make structural materials in shapes that would have been difficult or impossible using conventional tools. Meanwhile, new generative design systems can take great advantage of this flexibility to create innovative designs for

MIT Solve announces 2023 global challenges and Indigenous Communities Fellowship

MIT Solve, an MIT initiative with a mission to drive innovation to solve world challenges, announced today the 2023 Global Challenges and the Indigenous Communities Fellowship. 

Solve invites anyone from anywhere in the world to submit a solution to this …

Pursuing a practical approach to research

Koroush Shirvan, the John Clark Hardwick Career Development Professor in the Department of Nuclear Science and Engineering (NSE), knows that the nuclear industry has traditionally been wary of innovations until they are shown to have proven utility. As a result, …

Machine learning facilitates “turbulence tracking” in fusion reactors

Fusion, which promises practically unlimited, carbon-free energy using the same processes that power the sun, is at the heart of a worldwide research effort that could help mitigate climate change.

A multidisciplinary team of researchers is now bringing tools and …

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