This laser technology can see inside our bodies like never before đ€Ż.
Starship SN6 is aiming to conduct a 150-meter hop test on Sunday, just a few weeks after SN5 completed the first Starship prototype launch. SN6âs test will be a near-mirror of SN5âs short flight, with both prototypes aiming to refine SpaceXâs launch and landing operations. Meanwhile, additional Starships continue to evolve, along with preparations for the Super Heavy booster, which â according to Chief Designer Elon Musk â could conduct an initial test hop by October.
SN5 and SN6:
In another sign of SpaceX Boca Chicaâs production cadence, the allowance for SN6 to be ready to hop just weeks after SN5 was aided by having SN6 already assembled in the Mid Bay while SN5 was reaching 150 meters into the South Texas sky.
Summary: Transposable elements team up with evolutionary recent neurons to influence differentiation and physiological function of neurons in brain development.
Source: EPFL
The human genome contains over 4.5 million sequences of DNA called âtransposable elementsâ, these virus-like entities that âjumpâ around and help regulate gene expression. They do this by binding transcription factors, which are proteins that regulate the rate of transcription of DNA to RNA, influencing gene expression in a broad range of biological events.
Solar flares emit sudden, strong bursts of electromagnetic radiation from the Sunâs surface and its atmosphere, and eject plasma and energetic particles into inter-planetary space. Since large solar flares can cause severe space weather disturbances affecting Earth, to mitigate their impact their occurrence needs to be predicted. However, as the onset mechanism of solar flares is unclear, most flare prediction methods so far have relied on empirical methods.
The research team led by Professor Kanya Kusano (Director of the Institute for Space-Earth Environmental Research, Nagoya University) recently succeeded in developing the first physics-based model that can accurately predict imminent large solar flares. The work was published in the journal Science on July 31, 2020.
The new method of flare prediction, called the kappa scheme, is based on the theory of âdouble-arc instability,â that is a magnetohydrodynamic (MHD) instability triggered by magnetic reconnection. The researchers assumed that a small-scale reconnection of magnetic field lines can form a double-arc (m-shape) magnetic field and trigger the onset of a solar flare (Figure 1). The kappa scheme can predict how a small magnetic reconnection triggers a large flare and how a large solar flare can occur.
When Gary Kasparov was dethroned by IBMâs Deep Blue chess algorithm, the algorithm did not use Machine Learning, or at least in the way that we define Machine Learning today.
Adji Bousso Dieng will be Princetonâs School of Engineeringâs first Black female faculty.
Not only has Adji Bousso Dieng, an AI researcher from Senegal, contributed to the field of generative modeling and about to become one of the first black female faculty in Computer Science in the Ivy League, she is also helping Africans in STEM tell their own success stories.
Dieng, who is currently a researcher at Google and an incoming computer science faculty at Princeton, works in an area of Artificial Intelligence called generative modeling.
In the past 30â40 years we have only been able to discover a handful of Supermassive Black Hole. Last year this research station found 10 more.
The Emotet botnet has begun to use a new template for their malicious attachments, and it is just as dangerous as ever.
After a five-month âvacation,â the Emotet malware returned in July 2020 and began to spew massive amounts of malicious spam worldwide.
A Centurylink outage has taken out multiple web services including Amazon, Hulu, Playstation Network, etc for much of the world.
IAIFI will advance physics knowledge â from the smallest building blocks of nature to the largest structures in the universe â and galvanize AI research innovation.
The U.S. National Science Foundation (NSF) announced last week an investment of more than $100 million to establish five artificial intelligence (AI) institutes, each receiving roughly $20 million over five years. One of these, the NSF AI Institute for Artificial Intelligence and Fundamental Interactions (IAIFI), will be led by MIT âs Laboratory for Nuclear Science (LNS) and become the intellectual home of more than 25 physics and AI senior researchers at MIT and Harvard, Northeastern, and Tufts universities.
By merging research in physics and AI, the IAIFI seeks to tackle some of the most challenging problems in physics, including precision calculations of the structure of matter, gravitational-wave detection of merging black holes, and the extraction of new physical laws from noisy data.