In an otherwise unremarkable-looking cluster of industrial buildings somewhere in the southeast of France, a team of engineers is attempting to tackle one of science’s most intractable problems – how to summon the power of a star.
If they pull it off, they’ll solve mankind’s greatest existential problems in one stroke.
Kevin Stratvert provides a step-by-step tutorial, learn how you can use Microsoft Hyper-V to create virtual machines.
Hyper-V enables running virtualized computer systems on top of a physical host.
These virtualized systems can be used and managed just as if they were physical computer systems, however they exist in virtualized and isolated environment.
Special software called a hypervisor manages access between the virtual systems and the physical hardware resources. Virtualization enables quick deployment of computer systems, a way to quickly restore systems to a previously known good state, and the ability to migrate systems between physical hosts.
Because our most powerful classical computers are limited in the chemical modeling they can perform, so are the solutions they can unlock.
Quantum computing could change that.
On this episode of Quantum Impact, Dr. Krysta Svore, general manager of quantum systems and software at Microsoft, heads to Richland, Washington to meet with Dr. Nathan Baker and Dr. Bojana Ginovska at Pacific Northwest National Laboratory (PNNL).
Microsoft is partnering with PNNL to bring the power of quantum to our understanding of chemistry. One of PNNL’s areas of interest is catalysis, or the process of converting chemicals from one form to another, and Nathan shares the complexity involved in truly understanding that process.
Bojana, a computational chemist, then speaks with Krysta about her work studying nitrogenase, an enzyme present in healthy soil. She’s exploring how we can turn nitrogen into ammonia for agriculture in a way that doesn’t deplete our energy resources.
Together with PNNL, Microsoft is working to develop quantum algorithms to help solve challenging problems in chemistry, which will have hugely positive impacts on our world and our planet’s future.
In this episode of CodeStories, learn about the Plastic Origins project, from Surfrider Foundation Europe, which tackles inland plastic pollution by monitoring microplastic and tracking the path of plastic waste as it travels to the ocean.
About Surfrider Foundation Europe
About AI School
Seine River, near Microsoft France office
How Plastic Origins is using AI and machine learning
Demo with Azure Machine Learning
How to get involved with the Plastic Origins project
Surfrider Foundation Europe would like to thank all the volunteers who contribute everyday to the success of the Plastic origins project. If you want to become one of them and join the project, write us at [email protected]
While quantum computing may seem like the next frontier, its foundations have actually been around for billions of years—in the natural world.
This episode of Quantum Impact explores the ways in which we can tap into nature’s organic systems and processes to help solve some of today’s most pressing issues around climate change and environmental sustainability.
Here’s a great use case for AI and Drones to help with a common environmental problem.
With drone photography, “we can track all of the trash in a creek, river, or stream, examine how it’s distributed, and then apply machine-learning algorithms to analyze those images as often as we want,” Hale says.
Here’s an interesting project to use AI to deal with nuclear waste.
The researchers leveraged physics-informed generative adversarial networks (“GANs”).
Nuclear waste storage sites are a subject of intense controversy and debate; nobody wants the radioactive remnants in their backyard. Now, a collaboration between Berkeley Lab, Pacific Northwest National University (PNNL), Brown University and Nvidia has yielded new insights for nuclear waste remediation using the joint power of supercomputing […]
Each day around a third of all food harvested or produced around the globe is wasted. This means that about 1.3 billion tons of food feeds no one. IKEA’s restaurants serve 680 million people each year and the company takes food waste seriously. IKEA has enlisted AI in its sustainability efforts.
IKEA is a proponent of the “circular economy”, which is an economic system based on minimizing waste and making the most of resources. It is basically the opposite of taking materials, manufacturing products (or food), and then disposing of the end product. Instead it is a regenerative approach that reduces waste.
AI is the wonder of our age and the hottest tech of the 2010s, but does it hurt the environment?
For Emma Strubell, the lead author behind the paper, the most shocking discovery of the research was when she analyzed one of the recent models she designed as part of her PhD work at University of Massachusetts Amherst. While the algorithm’s carbon footprint–78,468 pounds of carbon dioxide–wasn’t quite as big as some of the others she assessed in the paper, it still was similar in size to the carbon dioxide that the average American emits in two years.