Goto

Collaborating Authors

 climate disaster


The Download: AI doppelgängers in the workplace, and using lidar to measure climate disasters

MIT Technology Review

Digital clones--AI models that replicate a specific person--package together a few technologies that have been around for a while now: hyperrealistic video models to match your appearance, lifelike voices based on just a couple of minutes of speech recordings, and conversational chatbots increasingly capable of holding our attention. But they're also offering something the ChatGPTs of the world cannot: an AI that's not smart in the general sense, but that'thinks' like you do. Could well-crafted clones serve as our stand-ins? I certainly feel stretched thin at work sometimes, wishing I could be in two places at once, and I bet you do too. To find out, I tried making a clone of myself.


Can Digital Replica of Earth Save the World from Climate Disaster?

#artificialintelligence

A digital replica of Earth could help scientists better model the future of our planet and find solutions to problems wrought by climate change. The advanced model, dubbed Digital Twin Earth, is being developed by the European Space Agency (ESA) and its partners based on data and images from Earth-observation satellites and sensors on the ground. To run reliably, the project will require new advanced artificial intelligence algorithms and powerful supercomputers, which are currently being developed. ESA and its partners discussed their progress in the runup to the UN Climate Change Conference COP26, a two-week event that's currently taking place in Glasgow, Scotland. ESA launched the Digital Twin Earth project in 2020 and invited researchers and tech companies from across Europe to present their progress during an event called PhiWeek, which took place Oct. 11 to Oct. 15.


AI For Climate Action

#artificialintelligence

Climate action is the latest buzzword among industry circles since the many International Panel on Climate Change (IPCC) reports and the recent UN Climate Summit in New York City. Greta Thunberg grabbed the headlines, but industrialists are all wondering: How can we move swiftly and effectively to reduce carbon emissions? How can we use AI and other exponential technologies to do the job better, faster and cheaper? As a business strategist and urban planner, I advise companies to focus on cities since they consume 80% of energy and emit 70% of carbon, so we'll win or lose the carbon battle in the cities. Fortunately, cities can move faster than national governments and, as energy buyers, they can directly negotiate energy types and pricing, giving them enormous economic clout.


To decarbonize we must decomputerize: why we need a Luddite revolution

The Guardian

Our built environment is becoming one big computer. "Smartness" is coming to saturate our stores, workplaces, homes, cities. As we go about our daily lives, data is made, stored, analyzed and used to make algorithmic inferences about us that in turn structure our experience of the world. Computation encircles us as a layer, dense and interconnected. If our parents and our grandparents lived with computers, we live inside of them.