The startup claims to be “the world’s top supplier of graphene” and plans to release a non-flammable, environmentally friendly lithium battery that can charge “18 times faster than anything that is currently available on the market” — within the next year.
Oxford and Cambridge are carefully assessing the threat presented by intelligent machines of the future.
NASA Astronauts Robert Behnken and Douglas Hurley will become the first humans to launch to the International Space Station from American soil since the final space shuttle mission in 2011. Don’t miss our live coverage, including video from the SpaceX Crew Dragon spacecraft!
Full #LaunchAmerica schedule: https://go.nasa.gov/2ZEjMaF
Can be used for a force field: 3.
Power and energy are essential parts of our everyday life. Every time you turn on a light, you’re using power. If you’re reading this online, you’re using energy. If you’re watching a video — you guessed it — you need energy. So that means that with so many people needing power and energy, we’re brought into a world that’s demanding more and more power. What’s more, getting this power is the hard part.
Pedro Domingos has devoted his life to learning how computers learn. He says a breakthrough is coming.
A growing number of people are eschewing soap and trusting bacteria to do the job instead – and an entire industry has sprung up to accommodate them.
NASA and SpaceX are ready to launch on 27th May 2020 but how? What preparation have they done? What is Crew Dragon? How does it work? All of your questions are answered in this video.
Tissue biopsy slides stained using hematoxylin and eosin (H&E) dyes are a cornerstone of histopathology, especially for pathologists needing to diagnose and determine the stage of cancers. A research team led by MIT scientists at the Media Lab, in collaboration with clinicians at Stanford University School of Medicine and Harvard Medical School, now shows that digital scans of these biopsy slides can be stained computationally, using deep learning algorithms trained on data from physically dyed slides.
Pathologists who examined the computationally stained H&E slide images in a blind study could not tell them apart from traditionally stained slides while using them to accurately identify and grade prostate cancers. What’s more, the slides could also be computationally “de-stained” in a way that resets them to an original state for use in future studies, the researchers conclude in their May 20 study published in JAMA Network Open.
This process of computational digital staining and de-staining preserves small amounts of tissue biopsied from cancer patients and allows researchers and clinicians to analyze slides for multiple kinds of diagnostic and prognostic tests, without needing to extract additional tissue sections.
