Scholars have a nifty way of alerting colleagues to lengthy treatises that they find simply not worth their time to read.
They tag such documents “tl;dr”—too long, didn’t read.
It’s kind of a 21st century spin on the 420-year-old notion Shakespeare’s Polonius relayed to the king and queen in “Hamlet”: “Brevity,” he suggested, “is the soul of wit.”
Another great advantage is the ability to incorporate AI at early stages of image acquisition. Among other things, this enables us to reduce the amount of radiation needed to acquire a high-resolution CT or shorten the duration needed for an MRI scan. And this leads to patient welfare improvements as well as healthcare cost reductions.
AI applications
In recent years there has been tremendous work in this field mainly focusing on cardiovascular, ophthalmology, neurology, and cancer detection.
Consumer drones have over the years struggled with an image of being no more than expensive and delicate toys. But applications in industrial, military and enterprise scenarios have shown that there is indeed a market for unmanned aerial vehicles, and today, a startup that makes drones for some of those latter purposes is announcing a large round of funding and a partnership that provides a picture of how the drone industry will look in years to come.
Percepto, which makes drones — both the hardware and software — to monitor and analyze industrial sites and other physical work areas largely unattended by people, has raised $45 million in a Series B round of funding.
Alongside this, it is now working with Boston Dynamics and has integrated its Spot robots with Percepto’s Sparrow drones, with the aim being better infrastructure assessments, and potentially more as Spot’s agility improves.
It’s pretty easy to dismiss the capabilities of Tesla’s Autopilot and Full Self-Driving beta. A look at Autopilot’s ranking from Consumer Reports alone would suggest that Tesla’s driver-assist system is pretty average at best, and that solutions like GM’s Super Cruise are far more advanced and capable.
With this in mind, the narrative surrounding Tesla’s self-driving efforts largely suggests that the company’s driver-assist systems, while advanced, are years away from being a capable autonomous driving solution. And when Tesla achieves autonomy, actual FSD companies like Waymo and Cruise would be far ahead.
These preconceptions about Autopilot and the Full Self-Driving suite, however, are a bit questionable, especially if one were to consider the capabilities of the FSD beta today, which is currently being tested by a select group of Tesla owners. Tesla owner and YouTube host Dan Markham of the What’s Inside? Family channel recently experienced this, when he took a drive on a Model S equipped with the FSD beta.
My most recent article published in my LinkedIn profile. Opinions and thoughts are welcome.
Elon Musk has been warning for years of the risks that the progress in AI can pose to humanity. Long story short, his position is that AI, once it eventually becomes AGI, is going to be so advanced that it will make humans irrelevant.
In order to prevent this from happening, Elon Musk argues that a symbiosis between the human mind and AI is necessary, so that a sort of “Brain Computer Interface” or BCI allow humans direct communication with the cloud, and allow to process information at the speed that things are done in the cloud. Also, it would allow to limitlessly increase the scarce memory that our brains are capable of holding.
Elon argues that the interface with our mobiles and with PCs, as it requires the use of fingers, is chaotically slow and inefficient. Even if voice commands were much better than they are today, it would be still cumbersome compared with what would suppose being able to interact directly through our thougths.
This tool is perfect for an artist or a video game designer that has to produce many assets of the same creature and quickly iterate between ideas to find the best creature possible.
References:
Chimera Painter (Use it on a computer, it looks like it is bugged on mobile!): https://storage.googleapis.com/chimera-painter/index.html.
Article By Google: https://ai.googleblog.com/2020/11/using-gans-to-create-fantastical.html.
Deeper explanation of GANs: https://youtu.be/ZnpZsiy_p2M
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As an open-source developer, the question I hear the most is “why would you want to give that away for free.?”
In the field of AI, there are many reasons why opensource is key. First, the code for building models does not give away any competitive advantage because the value comes from models+your own data. Second, it lets the whole world help you find and correct mistakes. Imagine building a house where every architect in the world can contribute one tiny idea. But more importantly, AI is a really hard problem to solve.
The problems in the field cannot be solved by any one individual or group.
Just amazing!
A small fraction of the cremated remains of 61 people will be flown to the Moon next July as part of the payload delivered by Astrobotic’s Peregrine Mission One lander. The payload is offered by Celestis, a company that provides memorial spaceflights. This particular one has intrigued people because among the many deceased whose ashes will be taken to the moon, there are the remains of science writer and futurist Arthur C. Clarke.
Clarke is known to most people for being the author of 2001 – A Space Odyssey, a book in which an ancient alien civilization left one of its peculiar monoliths on the Moon. In the novel, this monolith is found in Tycho crater, but that is not where the Peregrine mission is landing. More aptly, the Astrobotic mission will land in a basaltic lava plain known as Lacus Mortis: the lake of death.
Lunar memorials started with the 1998 flight of the remains of Dr Eugene Shoemaker, who among his many accomplishments was the discoverer of Comet Shoemaker-Levy 9 with his wife Dr Carolyn Shoemaker and David H. Levy. The comet is famous for hitting Jupiter in 1994. The Shoemakers were in a car-crash in 1997 that was fatal for Eugene.
Posted in information science, mapping, robotics/AI, supercomputing | Leave a Comment on NASA Uses Powerful Supercomputers and AI to Map Earth’s Trees, Discovers Billions of Trees in West African Drylands
Scientists from NASA ’s Goddard Space Flight Center in Greenbelt, Maryland, and international collaborators demonstrated a new method for mapping the location and size of trees growing outside of forests, discovering billions of trees in arid and semi-arid regions and laying the groundwork for more accurate global measurement of carbon storage on land.
Using powerful supercomputers and machine learning algorithms, the team mapped the crown diameter – the width of a tree when viewed from above – of more than 1.8 billion trees across an area of more than 500,000 square miles, or 1,300,000 square kilometers. The team mapped how tree crown diameter, coverage, and density varied depending on rainfall and land use.
