Energy

Eni and IBM boost geological data interpretation with AI

IBM researchers and geoscientists from Eni, a leading global energy company, are building an augmented intelligence platform based on AI called cognitive discovery to support Eni's decision-making during the initial stages of hydrocarbon exploration, which naturally occur in crude oil.

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Addressing Climate Change at a Major Source: Buildings

Can silica gel desiccant packs, often found in shoe boxes and electronics, be the answer to our energy challenges for buildings? A four-year project proves yes, sort of. According to the European Commission, heating and cooling in buildings and industry accounts for half of the EU’s energy consumption, and fossil fuels generate 84 percent of […]

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New research shows link between agrochemicals and risk of parasitic disease

Farmers worldwide face mounting pressure to increase agricultural yields to keep up with human population growth. Consequently, chemical use is on the rise – in many cases a cocktail of chemicals, from fertilizers to herbicides to insecticides. But in countries where human population growth is highest, including China, South East Asia and South America, these […]

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New IBM Research App Shines a Light on Solar Energy for Africa

More than 600 million people in sub-Saharan Africa live off the energy grid and 80 percent of Africa is un-electrified, according to the South African National Energy Development Institute (SANEDI). Similar to how Africa has leapt over telephone lines directly to mobile phones and are jumping over physical money to digital, the continent also has […]

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IBM Researchers Receive Aegis Graham Bell Award for Work in Digital Agriculture

The earth’s population is 7.6 billion and will rise to 11 billion by the turn of the century. Somehow, we must feed this 45 percent larger population with 10-20 percent less farmable land, and far less farmers. At the same time, a significant fraction of land and productive crop yield will be converted into bioenergy […]

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ROMEO Seeks to Improve Wind Farms with Machine Learning and IoT at the Edge

This past summer a five-year, €16 million EU Horizon 2020 project kicked off to reduce the maintenance cost of wind turbines using predictive machine learning algorithms, the Internet of Things and cloud computing. The project called ROMEO, or “Reliable Operations & Maintenance Decision tools and strategies for high LCoE reduction on Offshore wind”, and not […]

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