Lifeboat Foundation

The super-thin ’wonder material’ graphene has been shaking up science for years with its amazing properties, but things get really interesting when you stack this 2D nanomaterial up against itself.

In new experiments, physicists in the US have found that when graphene is assembled in a double-layer vertical stack – with two adjacent sheets of the material that are almost touching – the proximity produces quantum states that haven’t been observed before.

These newly measured states, resulting from complex interactions of electrons between the two graphene layers, are examples of what’s called the fractional quantum Hall effect – and it’s just the latest example of how physical science gets weird when materials effectively only occupy two dimensions.

SpaceIL says the Moon is old news. They’ll be sending Beresheet 2, the original Beresheet’s successor, to a location that they’re keeping secret. For now.

With the end of the Vietnam and Cold wars, Jason members began to branch out from physics and engineering. In 1977, they did their first assessment of global climate models and later advised DOE on which atmospheric measurements were most critical for the models. Since the mid-1990s, Jason has studied biotechnologies, including techniques for detecting biological weapons.

After near-death experience, top scientists seek a long-term home in the U.S. government.

Structured light beams can serve as vortex beams carrying optical angular momentum and have been used to enhance optical communications and imaging. Rego et al. generated dynamic vortex pulses by interfering two incident time-delayed vortex beams with different orbital angular momenta through the process of high harmonic generation. A controlled time delay between the pulses allowed the high harmonic extreme-ultraviolet vortex beam to exhibit a time-dependent angular momentum, called self-torque. Such dynamic vortex pulses could potentially be used to manipulate nanostructures and atoms on ultrafast time scales.

Science, this issue p. eaaw9486.

Soon, you might not need anything more specialized than a readily accessible touchscreen device and any existing data sets you have access to in order to build powerful prediction tools. A new experiment from MIT and Brown University researchers have added a capability to their ‘Northstar’ interactive data system that can “instantly generate machine-learning models” to use with their exiting data sets in order to generate useful predictions.

One example the researchers provide is that doctors could make use of the system to make predictions about the likelihood their patients have of contracting specific diseases based on their medial history. Or, they suggest, a business owner could use their historical sales data to develop more accurate forecasts, quickly and without a ton of manual analytics work.

Researchers are calling this feature the Northstar system’s “virtual data scientist,” (or VDS) and it sounds like it could actually replace the human equivalent, especially in settings where one would never actually be readily available or resourced anyway. Your average doctor’s office doesn’t have a dedicated data scientist headcount, for instance, and nor do most small- to medium-sized businesses for that matter. Independently owned and operated coffee shops and retailers definitely wouldn’t otherwise have access to this kind of insight.

One simple pro mod for better aerial images

Multirotors and sports cameras are very nearly synonymous at this point in time. The popularity of one has undoubtedly boosted the popularity of the other. I bought my first DJI Phantom in part because I already owned a GoPro and wanted to see if I could make it fly. For others, it may be that they already owned a quadcopter and wanted to see if they could lift a camera with it. Yet this mutually beneficial symbiosis hasn’t led to any significant changes in the way sports cameras are made, notably the lens. But with a simple modification, you can make that camera even more sky-worthy.

Fishes don’t fly.

The discovery could help overcome a major quantum computing hurdle.

Walking the show floor at Amazon re: MARS.

Scientific collaborators from Carnegie Mellon University and University of Minnesota have created a way for people to control a robotic arm using a non-invasive brain-computer interface (BCI). Previously, electrode array implants in the brain have been necessary to give severely disabled people the ability to manipulate an external robot. That is because implants can gather more actionable signal information by being placed right on the surface of the brain. Avoiding dangerously invasive brain surgery to place these implants, though, is a big goal in the field of brain-computer interfaces.

The Carnegie Mellon team turned to newly developed sensing and machine learning methods to accurately read signals coming from deep within the brain, relying only on an external electroencephalography cap for signal gathering. The system can quickly improve both its performance and that of the person using it, to achieve drastically better results than previous solutions. Volunteers using the technology were put through a pursuit task and a training regimen to improve their engagement, while the system was performing an analysis of their brain signals.

Continue reading “Severely Disabled People Mind-Control a Robotic Arm via EEG” »