Lifeboat Foundation

In a new study, self-sustaining chemical reactions were discovered which carry the potential to support alien life, which is very different from the elements present on Earth.

The biology of Earth hinges on organic compounds which comprise carbon along with elements like phosphorus, sulphur, nitrogen, oxygen and hydrogen. Scientists believe that alternative chemical frameworks can lead to the existence of alien life forms.

For long, scientists have wondered if alien life might evolve on the basis of significantly different chemistry. Researchers have speculated if silicon may work as a backbone for biology.

Aside from faster results, edge computing has the added benefit of increased privacy: If your health information never leaves your wearable, you don’t have to worry about someone else intercepting it — or interfering with it — en route.

So why do we run these apps in the cloud, instead of locally? The problem is that wireless devices have limited processing power and battery — to run a more advanced and energy-intensive AI program, you may have to turn to huge servers in the cloud.

A Stanford-led team has now unveiled NeuRRAM, a new microchip that could let us run advanced AI programs directly on our devices.

Google has introduced a range of training resources centered on generative AI.

Two comprehensive learning paths are now available on Google Cloud Skills Boost.

An “Introduction to Generative AI” path contains introductory, non-technical courses suited for sales, marketing, HR, and operations roles.

Dr. Cody Visits Kernel Neuroscience Headquarters and tries on the Kernel Flow.

►►► INSTAGRAM (Behind The Scenes with Cody Rall MD):
https://www.instagram.com/codyrall_techforpsych/

Continue reading “Putting On The Most Advanced Brain Scan Helmet Known to Man (Kernel Neuroscience fNIRS Helmet)” »

One of the biggest challenges of modern physics is reconciling gravity and quantum mechanics. How do we deal with this dilemma?

Femtotech: Computing at the femtometer scale using quarks and gluons.
How the properties of quarks and gluons can be used (in principle) to perform computation at the femtometer (10^−15 meter) scale.

I’ve been thinking on and off for two decades about the possibility of a femtotech. Now that nanotech is well established, and well funded, I feel that the time is right to start thinking about the possibility of a femtotech.

Continue reading “Hugo de Garis — Innovating Beyond the Nanoscale, Femtometer Scale Technology” »

Quantum technology holds immense promise, yet it is riddled with complexity. Anticipated to usher in a slew of technological advancements in the upcoming decades, it is set to offer us more compact and accurate sensors, robustly secure communication networks, and high-capacity computers. These advancements will outpace the capabilities of present computing technologies, aiding in the swift development of new drugs and materials, controlling financial markets, and enhancing weather forecasting.

To realize these benefits, we require what are termed as quantum materials, which display significant quantum physical effects. One such material is graphene.

Graphene is an allotrope of carbon in the form of a single layer of atoms in a two-dimensional hexagonal lattice in which one atom forms each vertex. It is the basic structural element of other allotropes of carbon, including graphite, charcoal, carbon nanotubes, and fullerenes. In proportion to its thickness, it is about 100 times stronger than the strongest steel.

Imagine a juggler tossing balls into the air. The art of juggling is a dance between motion and pause, where the ball’s speed slows as it ascends, and then quickens on the way down. This dance reveals one of the core tenets of physics: conservation laws.

Simply put, these laws tell us that certain features of our world, like energy, don’t just vanish; they transform from one form to another. In our juggling example, the energy of motion (kinetic energy) morphs into the energy of position (potential energy) and back again.

Conservation laws aren’t just limited to juggling, or even Earth for that matter. They’re universal principles, true across various fields of physics. Yet, they aren’t always straightforward.

Not all wages are bad. If you’re a doctor or nurse you can earn decent. Even a PC tech can earn around $24 an hour or more and cyber security 100k and if you are an engineer you can earn a lot. If you work in a gas station however you won’t earn much. If you are in assembly not much either. It takes skills to earn money. Plus the politicians determine the wages too, it’s not all on big tech. Some tech companies pay more than others of course but knowing AI will increase your wages. They have courses on ChatGPT online now. Even if you run a farm you earn the most money. They’re afraid of progress or I dunno what. Yes we proceed with caution but it’s not like we stop. China won’t nor Russia nor the Middle East etc and even if we’re not in conflict we’ll be left behind.

New book re-examines textile workers’ uprising against the use of technology to erase jobs centuries ago in light of similar problems stemming from AI.