Lifeboat Foundation

YouTube announced today that it’s partnering with Arizona State University and educational video company Crash Course to launch a new program that enables students to earn college credit. The Google-owned company says the new program, called College Foundations, is designed to create an affordable and accessible way to earn college credit.

Starting today, students can sign up for four courses that start on March 7, 2023, and are eligible for transfer credit. The program does not require applications or a minimum GPA for enrollment. It includes common first-year college courses, including Intro to Human Communication, Rhetoric and Composition, Real World College Math and US History to 1865.

The program is expected to expand to 12 available courses by January 2025 to give students a chance to receive credit for an entire first year of college. There is a $25 fee if a student elects to sign up and begin coursework, and a $400 fee to receive college credit for each course. Those who sign up before March 7 will receive a $50 discount. Courses can be taken as often as needed until the student is content with their grade. The credit can then be used at institutions that accept credits from Arizona State University.

#generalrelativitylecture.

General theory of relativity has got a deep understanding. In this General relativity lecture I have explained, the deep philosophical meaning of General relativity. I have also described from Special relativity when we move to General relativity, the entire notion of spacetime changes and why the mathematics becomes difficult. I have also discussed quantum mechanics and general relativity and its connection to string theory. This is a video, which discusses about the nature of development of the process and some deep philosophies which lies in the heart of spacetime.

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Sometimes, ChatGPT made “surprising” mistakes in school-level math.

Microsoft-backed OpenAI’s AI chatbot ChatGPT has been making headlines ever since it was released to the public on November 30. It can break down complex scientific concepts, compose poems, write stories, code, and create malware…the list is endless. OpenAI has also released a paid version of the chatbot. Known as ‘ChatGPT Professional’, it is available at $42 per month.

Bauna/iStock.

Continue reading “ChatGPT passes Wharton Business School’s MBA exam, gets a B” »

https://youtube.com/watch?v=3AQPgchedUw

This video explores aliens, mind uploading to other species (like in Avatar), genetic engineering, and future robots. Watch this next video about digital immortality: https://youtu.be/sZdWN9pbbew.
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SOURCES:
• https://en.wikipedia.org/wiki/Eagle_eye#:~:text=Eagles%20hav…0developed, see%20from%205%20feet%20away.
• https://vcahospitals.com/know-your-pet/how-dogs-use-smell-to…has%20been, 10%2C000%20times%20better%20than%20people.
• https://www.scientificamerican.com/article/small-animals-liv…ion-world/
• https://en.wikipedia.org/wiki/Human_cloning.

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What’s your favorite number? There are literally infinite options, and yet only a few which seem to stand out as more popular than others: there’s seven, obviously; 13 or 666 for the badasses among us; and √2 for anyone who just likes annoying Pythagoreans.

But there’s really only one number out there that can claim to be World Champion: pi. What other mathematical constant is literally used as a benchmark for computing power, or forms the basis for a never-ending worldwide grudge match over who can list the most random digits in the correct order (current record: 111,700)?

The reason pi is able to capture our imagination like this is because it is an irrational number – in other words, its decimal expansion is never-ending and entirely random. It’s thought that any sequence of numbers you can possibly think of can be found somewhere in the expansion of pi, and yet knowing any particular sequence somewhere in the expansion tells you no information about which digit comes next.

Researchers report a new, highly unusual, structured-light family of 3D topological solitons, the photonic hopfions, where the topological textures and topological numbers can be freely and independently tuned.

We can frequently find in our daily lives a localized wave structure that maintains its shape upon propagation—picture a smoke ring flying in the air. Similar stable structures have been studied in various research fields and can be found in magnets, nuclear systems, and particle physics. In contrast to a ring of smoke, they can be made resilient to perturbations. This is known in mathematics and physics as topological protection.

A typical example is the nanoscale hurricane-like texture of a magnetic field in magnetic thin films, behaving as particles—that is, not changing their shape—called skyrmions. Similar doughnut-shaped (or toroidal) patterns in 3D space, visualizing complex spatial distributions of various properties of a wave, are called hopfions. Achieving such structures with light waves is very elusive.

This video covers the world in a billion years and its future technologies. Watch this next video about the world in a million years: https://bit.ly/3xe50by.
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Continue reading “The World in a Billion Years: Top 5 Future Technologies” »

We can frequently find in our daily lives a localized wave structure that maintains its shape upon propagation—picture a smoke ring flying in the air. Similar stable structures have been studied in various research fields and can be found in magnets, nuclear systems, and particle physics. In contrast to a ring of smoke, they can be made resilient to perturbations. This is known in mathematics and physics as topological protection.

A typical example is the nanoscale hurricane-like texture of a magnetic field in magnetic thin films, behaving as particles—that is, not changing their shape—called skyrmions. Similar doughnut-shaped (or toroidal) patterns in 3D space, visualizing complex spatial distributions of various properties of a wave, are called hopfions. Achieving such structures with light waves is very elusive.

Recent studies of structured light revealed strong spatial variations of polarization, phase, and amplitude, which enable the understanding of—and open up opportunities for designing—topologically stable optical structures behaving like particles. Such quasiparticles of light with control of diversified topological properties may have great potential, for example as next-generation information carriers for ultra-large-capacity optical information transfer, as well as in quantum technologies.

Mathematicians came up with the first examples of intransitive dice more than 50 years ago, and eventually proved that as you consider dice with more and more sides, it’s possible to create intransitive cycles of any length. What mathematicians didn’t know until recently was how common intransitive dice are. Do you have to contrive such examples carefully, or can you pick dice randomly and have a good shot at finding an intransitive set?

Looking at three dice, if you know that A beats B and B beats C, that seems like evidence that A is the strongest; situations where C beats A should be rare. And indeed, if the numbers on the dice are allowed to add up to different totals, then mathematicians believe that this intuition holds true.

But a paper posted online late last year shows that in another natural setting, this intuition fails spectacularly. Suppose you require that your dice use only the numbers that appear on a regular die and have the same total as a regular die. Then, the paper showed, if A beats B and B beats C, A and C have essentially equal chances of prevailing against each other.