What if aliens have passed beyond the biological stage and resemble artificial intelligence more than they resemble any expected living thing.
Anders Sandberg, University of Oxford.
One of the deepest realizations of the scientific understanding of the world that emerged in the 18th and 19th century is that the world is changing, that it has been radically different in the past, that it can be radically different in the future, and that such changes could spell the end of humanity as we know it. An added twist arrived in the 20th century: we could ourselves be the cause of our demise. In the late 20th century an interdisciplinary field studying global catastrophic and existential risks emerged, driven by philosophical concern about the moral weight of such risks and the realization that many such risks show important commonalities that may allow us as a species to mitigate them. For example, much of the total harm from nuclear wars, supervolcanic eruptions, meteor impacts and some biological risks comes from global agricultural collapse. This talk is going to be an overview of the world of low-probability, high-impact risks and their overlap with questions of complexity in the systems generating or responding to them. Understanding their complex dynamics may be a way of mitigating them and ensuring a happier future.
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Georgia Tech scientists believe that microbes could be the key to producing the rocket fuel needed to take humans from Mars back to Earth.
Scientists at Rice University have created a material that will protect steel from corrosion. In fact, it will also be flexible and heal itself when damaged.
This material will be used as a coating and is made from a lightweight sulfur-selenium alloy. It will be able to block moisture and chlorine-like zinc-and chromium-based coatings, protect steel under seawater-like conditions like polymer-based coatings, keep it from microbe-induced corrosion.
The experiments carried out before the results comprised putting small slabs of common mild steel coated with sulfur-selenium alloy in seawater for a month, along with an uncoated slab of steel as a control. The coated steel did not oxidize.
Title: A data analysis of the first hermetic seal of SAM–a hi-fidelity, hybrid physicochemical and bioregenerative human habitat analog at the Biosphere 2
Track Code: AM-8
As a robotics engineer, Yasemin Ozkan-Aydin, assistant professor of electrical engineering at the University of Notre Dame, gets her inspiration from biological systems. The collective behaviors of ants, honeybees and birds to solve problems and overcome obstacles is something researchers have developed in aerial and underwater robotics. Developing small-scale swarm robots with the capability to traverse complex terrain, however, comes with a unique set of challenges.
In research published in Science Robotics, Ozkan-Aydin presents how she was able to build multi-legged robots capable of maneuvering in challenging environments and accomplishing difficult tasks collectively, mimicking their natural-world counterparts.
“Legged robots can navigate challenging environments such as rough terrain and tight spaces, and the use of limbs offers effective body support, enables rapid maneuverability and facilitates obstacle crossing,” Ozkan-Aydin said. “However, legged robots face unique mobility challenges in terrestrial environments, which results in reduced locomotor performance.”
“If you accept that meaning is something that emerges from sufficiently complex biological machines, then the only place those machines might exist is here; then it’s correct to say that if this planet weren’t here, we’d live in a meaningless galaxy. That’s different to life. There’s a difference between life and intelligent life.”
Unique events that led to civilisation mean its demise could ‘eliminate meaning in galaxy for ever’.
An AI chatbot for ethics developed by the Allen Institute for AI has some interesting responses, to say the least.
Using machine learning, a computer model can teach itself to smell in just a few minutes. When it does, researchers have found, it builds a neural network that closely mimics the olfactory circuits that animal brains use to process odors.
Animals from fruit flies to humans all use essentially the same strategy to process olfactory information in the brain. But neuroscientists who trained an artificial neural network to take on a simple odor classification task were surprised to see it replicate biology’s strategy so faithfully.
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In this post I outline my journey creating a dynamic NFT on the Ethereum blockchain with IPFS and discuss the possible use cases for scientific data. I do not cover algorithmic generation of static images (you should read Albert Sanchez Lafuente’s neat step-by-step for that) but instead demonstrate how I used Cytoscape.js, Anime.js and genomic feature data to dynamically generate visualizations/art at run time when NFTs are viewed from a browser. I will also not be providing an overview of Blockchain but I highly recommend reading Yifei Huang’s recent post: Why every data scientist should pay attention to crypto.
W h ile stuck home during the pandemic, I’m one of the 10 million that tried my hand at gardening on our little apartment balcony in Brooklyn. The Japanese cucumbers were a hit with our neighbors and the tomatoes were a hit with the squirrels but it was the peppers I enjoyed watching grow the most. This is what set the objective for my first NFT: create a depiction of a pepper that ripens over time.
How much of the depiction is visualization and how much is art? Well that’s in the eye of the beholder. When you spend your days scrutinizing data points, worshiping best practices and optimizing everything from memory usage to lunch orders it’s nice to take some artistic license and make something just because you like it, which is exactly what I’ve done here. The depiction is authentically generated from genomic data features but obviously this should not be viewed as any kind of serious biological analysis.
