Lifeboat Foundation

Sony wants a bigger piece of the drone market. Today, the Japanese giant unveiled a project called Airpeak, which will “support the creativity of video creators to the fullest extent possible,” according to a cryptic press release. That makes it sound like Sony wants to take on consumer-focused drone makers such as DJI, Parrot and Skydio. Which makes a lot of sense, given Sony’s expertise in the compact and full-frame mirrorless camera markets. If you’re a vlogger or independent filmmaker that already uses Sony gear, you might be tempted by a drone with similar technology. If nothing else, it would make it easier to color correct and combine footage.

In the press release, though, Sony notes how drones have led to “workflow efficiency and energy savings in the industrial sector.” It adds: “Sony has assigned the ‘Airpeak’ brand to reflect its aspiration to contribute to the further evolvement and the creation of the unprecedented value through its imaging and sensing technology as well as 3R technologies (Reality, Real-time and Remote) in the drone area.” So it a consumer or enterprise play? We’re hoping its the former. The company already has Aerosense — a business-focused drone collaboration with ZMP — which specializes in surveying, capturing live events and creating maps from drone imagery.

When landing Apollo 11 in 1969, astronauts looked out the window for distinguishing features that they recognized from maps of the Moon and were able to steer the lander to avoid a disastrous touchdown on top of a rocky area. Now, 50 years later, the process can be automated. Distinguishing features, like known craters, boulders, or other unique surface characteristics, provide insight into surface hazards to help avoid them while landing.

NASA scientists and engineers are maturing technology for navigating and landing on planetary bodies by analyzing images during descent – a process called terrain relative navigation (TRN). This optical navigation technology is included on NASA’s newest Mars rover, Perseverance, which will test TRN when it lands on the Red Planet in 2021, paving the way for future crewed missions to the Moon and beyond. TRN was also being used during NASA’s recent Origins, Spectral Interpretation, Resources Identification, Security, Regolith Explorer (OSIRIS-REx) mission Touch-and-Go (TAG) event to collect samples of the asteroid Bennu in order to better understand the characteristics and movement of asteroids.

Since reaching Bennu in 2018, the OSIRIS-REx spacecraft has mapped and studied its surface, including its topography and lighting conditions, in preparation for TAG. Nightingale crater was chosen from four candidate sites based on its great amount of sampleable material and accessibility for the spacecraft.

As scientists await the highly anticipated initial results of the Muon g-2 experiment at the U.S. Department of Energy’s (DOE) Fermi National Accelerator Laboratory, collaborating scientists from DOE’s Argonne National Laboratory continue to employ and maintain the unique system that maps the magnetic field in the experiment with unprecedented precision.

Argonne scientists upgraded the measurement system, which uses an advanced communication scheme and new magnetic field probes and electronics to map the field throughout the 45-meter circumference ring in which the experiment takes place.

The experiment, which began in 2017 and continues today, could be of great consequence to the field of particle physics. As a follow-up to a past experiment at DOE’s Brookhaven National Laboratory, it has the power to affirm or discount the previous results, which could shed light on the validity of parts of the reigning Standard Model of particle physics.

For many, gazing at an old photo of a city can evoke feelings of both nostalgia and wonder — what was it like to walk through Manhattan in the 1940s? How much has the street one grew up on changed? While Google Street View allows people to see what an area looks like in the present day, what if you want to explore how places looked in the past?

The robodog is now going to places where humans and real dogs cannot.

The robot helped create 3D maps of radioactivity.

We stored the light by putting it in a suitcase so to speak, only that in our case the suitcase was made of a cloud of cold atoms,” says physicist Patrick Windpassinger from Mainz University in Germany. “We moved this suitcase over a short distance and then took the light out again.

The storage and transfer of information is a fundamental part of any computing system, and quantum computing systems are no different – if we’re going to benefit from the speed and security of quantum computers and a quantum internet, then we need to figure out how to shift quantum data around.

One of the ways scientists are approaching this is through optical quantum memory, or using light to store data as maps of particle states, and a new study reports on what researchers are calling a milestone in the field: the successful storage and transfer of light using quantum memory.

Continue reading “In New Milestone, Physicists Store And Transport Light Using Quantum Memory” »

Scientists from Scripps Research and Los Alamos National Laboratory have devised a method for mapping in unprecedented detail the thickets of slippery sugar molecules that help shield HIV from the immune system.

Mapping these shields will give researchers a more complete understanding of why antibodies react to some spots on the virus but not others, and may shape the design of new vaccines that target the most vulnerable and accessible sites on HIV and other viruses.

The sugar molecules, or “glycans,” are loose and stringy, and function as shields because they are difficult for antibodies to grip and block access to the protein surface. The shields form on the outermost spike proteins of HIV and many other viruses, including SARS-CoV-2, the coronavirus that causes COVID-19, because these viruses have evolved sites on their spike proteins where glycan molecules—normally abundant in cells—will automatically attach.

Head Image Caption: Street level view of 3D-reconstructed Chelsea, Manhattan

Historians and nostalgic residents alike take an interest in how cities were constructed and how they developed — and now there’s a tool for that. Google AI recently launched the open-source browser-based toolset “rǝ,” which was created to enable the exploration of city transitions from 1800 to 2000 virtually in a three-dimensional view.

Google AI says the name rǝ is pronounced as “re-turn” and derives its meaning from “reconstruction, research, recreation and remembering.” This scalable system runs on Google Cloud and Kubernetes and reconstructs cities from historical maps and photos.

Sorry Microsoft, but I guess people like Google Maps more. 😃

So much for showcasing Redmond’s Chocolate Factory alternative.