Week 2: Oct 6, 2018 — Oct 13, 2018
See last week’s 1- Cool things this week
This category will include breakthroughs that have the potential of enhancing humans or the world we live in.
Aubrey de Grey is a pioneer in the field of “rejuvenation”. According to him, life extension is a side effect of making and keeping people healthier — he claims there is no intrinsic limit to how much of our lives this could extend. His research focuses on regenerative medicine and whether it can prevent the aging process. He is also the Chief Science Officer of the SENS Research Foundation, which is doing pioneering work on extending our lifespans.
In the interview they discuss concepts such as “pro aging trance”, “longevity escape velocity” and “comprehensive damage repair” that can sustain a human body.
(I’m in the process of writing some blogs on this topic. So if you’re interested in learning about it, follow me here).
I’ll try to keep this category short, even though there are so many interesting things happening.
Robert Max Williams, Roman V. Yampolskiy
The authors compiled a database of over 6,500 images of optical illusions (collected from two websites and a smaller dataset of 500 hand-picked images) and then trained a neural network to recognize them.
Then they built a generative adversarial network (with no hyperparameter optimization) to create optical illusions for itself, but “nothing of value was created after 7 hours of training on an Nvidia Tesla K80”.
They talk about how naively applying methods from recent work on GANs doesn’t yield the same results. This optical illusion dataset is too small and GANs use large datasets (30,000 high resolution images of face — for example).
Apart from needing models capable of learning from such a small and limited dataset, they say a deeper understanding of human vision is also needed.
Concentric circles
You can download the dataset:
Images are currently hosted on the machine learning cloud platform “Floydhub.”
Bronson Messer, an astrophysicist at Oak Ridge National Laboratory (ORNL) in Tennessee, is building supernovae simulations for Aurora, a machine that is due to come online in the early 2020s — it could be the first machine capable of one exaflop — a billion billion “floating point operations” per second.
This article talks about some challenges to building such a machine:
Rise of the machines
Even if we can solve these problems, they ask a deeper question: is the focus on flops the best way to improve performance? Many researchers don’t think this is necessarily the best goal anymore.
“Satoshi Matsuoka, who leads the development of Japan’s “exascale” machine, says the country has deliberately set different goals. The objective is to run applications up to 100 times faster than on their existing K supercomputer — a 10-petaflop machine — by focusing development on data movement rather than raw flops. He says candidly that the post-K computer will not hit 1 exaflop, but he is also confident it will run science applications faster than competing first-generation exascale machines.”
This category will have all things related to space: making sense, travel, colonization, etc.
“Explore the unknown: Impossible things happen. At age nine, Chris Hadfield knew he wanted to go to space. He eventually went there three times, becoming a commander of the International Space Station. In his MasterClass, Chris teaches you what it takes to explore space and what the future holds for humans in the final frontier. Learn about the science of space travel, life as an astronaut, and how flying in space will forever change the way you think about living on Earth.”
Must watch trailer!!!
I haven’t taken this course, but I think I will. The trailer so super inspiring — check it out. If you want to take the course together so we can discuss, debate, learn, and motivate each other, then message me.
“A total of 3,726 exoplanets have been confirmed in 2,792 systems, with 622 systems having more than one planet (as of Jan. 1st, 2018). And in the coming years, scientists expect that many more discoveries will be possible thanks to the deployment of next-generation missions.”
“The transit method directly measures the sky-projected area of a planet’s silhouette relative to that of a star, under the assumption that the planet is not luminous itself… This fact implies that there is indeed some potential for transits to reveal surface features, since the planet’s silhouette is certainly distorted from a circular profile due to the presence of topography.”
I’m going to try to highlight cool things around me — in NJ/NY area.
“We would like the robot to be able to do infrastructure inspections, ideally to assess the integrity of underwater infrastructure, make sure everything is intact, working properly, that there are no damages or defects. Or potentially from a security standpoint, that there are no anomalies planted on an underwater piece of infrastructure.” — Dr. Brendan Englot, professor of mechanical engineering.
This is exactly what the category title says.
I want this!!!
Everyone should want this
Nope, I don’t think so :
That’s it. See you next week.
If you liked what you read, be sure to comment or clap — as a new writer, it means a lot.
I’ll be doing this on a weekly basis, so please follow if you’re interested.