Lifeboat Foundation

Potentially good technology if it makes it to market. A new semiconductor would be great!

Researchers at the Georgia Institute for Technology have found a new semiconductor that’s a really good candidate for making computers faster and smaller than ever. Amazingly enough, it works by combining graphene with silicon carbide, to give a material with a sensible band gap that still has a high thermal conductivity.

Continue reading “This New Semiconductor Could Revolutionize Computing” »

Magnetic random-access memories (MRAMs) are data storage devices that store digital data within nanomagnets, representing it in binary code (i.e., as “0” or “1”). The magnetization of nanomagnets inside these memory devices can be directed upward or downward.

Over the past decade, electronics engineers have introduced techniques that can switch this direction using in-plane electrical currents. These techniques ultimately enabled the creation of a new class of MRAM devices, referred to as spin-orbit torque (SOT)-MRAMs.

While existing techniques to switch magnetization direction of nanomagnets in SOT-MRAMs have proved effective, many only work if external magnetic fields are aligned with the direction of the electric current. In a recent paper published in Nature Electronics, researchers at the National University of Singapore demonstrated the field-free switching of the perpendicular magnetic anisotropy (PMA) ferromagnet cobalt iron boron (CoFeB) at ambient conditions.

New Patreon page! https://www.patreon.com/seanmcarroll.

Blog post: https://www.preposterousuniverse.com/podcast/2018/08/13/epis…n-nothing/

Continue reading “Episode 9: Solo — Why Is There Something Rather than Nothing?” »

GOOGLE’S NEW SENSOR DENOISNG ALGORITHM brings yet another game changer for LOW LIGHT PHOTOGRAPHY. Within a handful of years, this will be added to other factors coming down the pipe, giving further impetus to a revolution in night vision. The video below speaks for itself. In effect, the system takes a series of images from different angles, exposures, and so on, then accurately reconstructs what is missing:

❤️ Check out Weights & Biases and sign up for a free demo here: https://wandb.com/papers.

Continue reading “Google’s New AI Learned To See In The Dark! 🤖” »

Thank you to Squarespace for supporting PBS. Go to https://www.squarespace.com/pbs for a free trial, and when you are ready to launch, go to Squarespace.com/PBS to save 10% off your first purchase of a website or domain.

PBS Member Stations rely on viewers like you. To support your local station, go to: http://to.pbs.org/DonateSPACE

Continue reading “What If Humanity Is Among The First Spacefaring Civilizations?” »

❤️ Check out Lambda here and sign up for their GPU Cloud: https://lambdalabs.com/papers.

📝 My paper “The flow from simulation to reality” with clickable citations is available here:
https://www.nature.com/articles/s41567-022-01788-5
📝 Read it for free here! https://rdcu.be/cWPfD

Continue reading “Wow, A Simulation That Looks Like Reality! 🤯” »

❤️ Check out Weights & Biases and sign up for a free demo here: https://wandb.com/papers.

📝 The paper “A Fast Unsmoothed Aggregation Algebraic Multigrid Framework for the Large-Scale Simulation of Incompressible Flow” is available here:
http://computationalsciences.org/publications/shao-2022-multigrid.html.

Continue reading “A 1,000,000,000 Particle Simulation! 🌊” »

To try out our new course (and many others on math and science), go to https://brilliant.org/sabine. You can get started for free, and the first 200 will get 20% off the annual premium subscription.

Physicists have many theories for the beginning of our universe: A big bang, a big bounce, a black hole, a network, a collision of membranes, a gas of strings, and the list goes on. What does this mean? It means we don’t know how the universe began. And the reason isn’t just that we’re lacking data, the reason is that science is reaching its limits when we try to understand the initial condition of the entire universe.

Continue reading “Did the Big Bang happen?” »

To help developers protect their applications against possible misuse, we are introducing the faster and more accurate Moderation endpoint. This endpoint provides OpenAI API developers with free access to GPT-based classifiers that detect undesired content — an instance of using AI systems to assist with human supervision of these systems. We have also released both a technical paper describing our methodology and the dataset used for evaluation.

When given a text input, the Moderation endpoint assesses whether the content is sexual, hateful, violent, or promotes self-harm — content prohibited by our content policy. The endpoint has been trained to be quick, accurate, and to perform robustly across a range of applications. Importantly, this reduces the chances of products “saying” the wrong thing, even when deployed to users at-scale. As a consequence, AI can unlock benefits in sensitive settings, like education, where it could not otherwise be used with confidence.