Astronomy & Astrophysics (A&A) is an international journal which publishes papers on all aspects of astronomy and astrophysics.
Leidos subsidiary Dynetics has won a $12.3m valued phase 1 of the Air Combat Evolution (ACE) programme, Technical Area 3 (TA3).
The ACE TA3 (Alpha Mosaic) contract was awarded by the Defense Advanced Research Projects Agency’s (DARPA) Strategic Technology Office (STO).
As an initial challenge scenario, the programme uses aerial dogfighting for implementing artificial intelligence (AI) into high-intensity air conflicts, which increases the soldier’s trust in combat autonomy.
Diagnosing COVID-19 more quickly, easily, and broadly
With COVID-19 rapidly spreading around the planet, the efficient detection of the CoV2 virus is pivotal to isolate infected individuals as early as possible, support them in whatever way possible, and thus prevent the further uncontrolled spread of the disease. Currently, the most-performed tests are detecting snippets of the virus’ genetic material, its RNA, by amplifying them with a technique known as “polymerase chain reaction” (PCR) from nasopharyngeal swabs taken from individuals’ noses and throats.
The tests, however, have severe limitations that stand in the way of effectively deciding whether people in the wider communities are infected or not. Although PCR-based tests can detect the virus’s RNA early on in the disease, test kits are only available for a fraction of people that need to be tested, and they require trained health care workers, specialized laboratory equipment, and significant time to be performed. In addition, health care workers that are carrying out testing are especially prone to being infected by CoV2. To shorten patient-specific and community-wide response times, Wyss Institute researchers are taking different parallel approaches:
Living organisms are capable of sensing and responding to their environment through reflex‐driven pathways. The grand challenge for mimicking such natural intelligence in miniature robots lies in achieving highly integrated body functionality, actuation, and sensing mechanisms. Here, somatosensory light‐driven robots (SLiRs) based on a smart thin‐film composite tightly integrating actuation and multisensing are presented. The SLiR subsumes pyro/piezoelectric responses and piezoresistive strain sensation under a photoactuator transducer, enabling simultaneous yet non‐interfering perception of its body temperature and actuation deformation states. The compact thin film, when combined with kirigami, facilitates rapid customization of low‐profile structures for morphable, mobile, and multiple robotic functionality. For example, an SLiR walker can move forward on different surfaces, while providing feedback on its detailed locomotive gaits and subtle terrain textures, and an SLiR anthropomorphic hand shows bodily senses arising from concerted mechanoreception, thermoreception, proprioception, and photoreception. Untethered operation with an SLiR centipede is also demonstrated, which can execute distinct, localized body functions from directional motility, multisensing, to wireless human and environment interactions. This SLiR, which is capable of integrated perception and motility, offers new opportunities for developing diverse intelligent behaviors in soft robots.
Our brain continuously receives signals from the body and the environment. Although we are mostly unaware of internal bodily processes, such as our heartbeats, they can affect our perception. Here, we show two distinct ways in which the heartbeat modulates conscious perception. First, increased heartbeat-evoked neural activity before stimulation is followed by decreased somatosensory detection. This effect can be explained by subjects adopting a more conservative decision criterion, which is accompanied by changes in early and late somatosensory-evoked responses. Second, stimulus timing during the cardiac cycle affects sensitivity but not criterion for somatosensory stimuli, which is reflected only in late somatosensory-evoked responses. We propose that these heartbeat-related modulations are connected to fluctuations of interoceptive attention and (unconscious) predictive coding mechanisms.
Even though humans are mostly not aware of their heartbeats, several heartbeat-related effects have been reported to influence conscious perception. It is not clear whether these effects are distinct or related phenomena, or whether they are early sensory effects or late decisional processes. Combining electroencephalography and electrocardiography, along with signal detection theory analyses, we identify two distinct heartbeat-related influences on conscious perception differentially related to early vs. late somatosensory processing. First, an effect on early sensory processing was found for the heartbeat-evoked potential (HEP), a marker of cardiac interoception. The amplitude of the prestimulus HEP negatively correlated with localization and detection of somatosensory stimuli, reflecting a more conservative detection bias (criterion).
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A Milky Way magnetar called SGR 1935+2154 may have just massively contributed to solving the mystery of powerful deep-space radio signals that have vexed astronomers for years.
On 28 April 2020, the dead star — sitting just 30,000 light-years away — was recorded by radio observatories around the world, seemingly flaring with a single, millisecond-long burst of incredibly bright radio waves that would have been detectable from another galaxy.
In addition, global and space X-ray observatories recorded a very bright X-ray counterpart.
In 2015, Elon Musk announced that his company, SpaceX, would be deploying satellites to orbit that would provide high-speed broadband internet access to the entire world. Known as Starlink, SpaceX began deploying this constellation in May of 2019 with the launch of the first 60 satellites. As of April 22, a total of 422 satellites have been added to the Starlink constellation, and the response hasn’t been entirely positive.
In addition to fears that we’re adding to the problem of “space junk,” there are also those who’ve expressed concern that Starlink and other constellations could have a negative impact on astronomy. In response, SpaceX recently announced that it will be instituting changes in how the satellites are launched, how they orbit the Earth, and even how reflective they are in order to minimize the impact they have on astronomy.
These changes were the subject of a presentation made during the Decadal Survey on Astronomy and Astrophysics 2020 (Astro2020) hosted by the National Academy of Sciences, Engineering, and Medicine. As part of the Optical Interference from Satellite Constellations Meeting held on Monday, April 27th, the Starlink Panel (which included Musk) presented how the company hopes to minimize light pollution caused by their constellation.
An MIT research proposal outlines a new method for rendezvousing with interstellar objects (ISOs) like ‘Oumuamua using a solar slingshot technique. By using solar sails to position deep-space probes on the edge of the solar system, the idea is to use the gravitational pull of the Sun to accelerate the spacecraft and set it on an intercept course with an interstellar visitor.
When ‘Oumuamua passed by in 2017, it was a truly historic event. For the first time, an object from interstellar space was detected entering the solar system. Traveling on a hyperbolic trajectory, it flew through the inner system before returning to the outer darkness, never to return. As it did so, observatories around the world focused on the object, giving scientists their first close-up glimpse at something that didn’t originate in our system.
However, a glimpse was all they had time for. Ideally, a long, leisurely look would have been preferable, but there wasn’t any time to even plan a mission to send a spacecraft to visit ‘Oumuamua – much less launch one. Worse, such a mission would have faced major technical challenges. Not the least of which being the requirement of a massive rocket to reach the needed velocity to overtake the object.
A team of materials scientists at Lawrence Berkeley National Laboratory (Berkeley Lab) – scientists who normally spend their time researching things like high-performance materials for thermoelectrics or battery cathodes – have built a text-mining tool in record time to help the global scientific community synthesize the mountain of scientific literature on COVID-19 being generated every day.
The tool, live at covidscholar.org, uses natural language processing techniques to not only quickly scan and search tens of thousands of research papers, but also help draw insights and connections that may otherwise not be apparent. The hope is that the tool could eventually enable “automated science.”
“On Google and other search engines people search for what they think is relevant,” said Berkeley Lab scientist Gerbrand Ceder, one of the project leads. “Our objective is to do information extraction so that people can find nonobvious information and relationships. That’s the whole idea of machine learning and natural language processing that will be applied on these datasets.”