Something to look forward to: Some of the biggest problems that need solving in the enterprise world require sifting through vast amounts of data and finding the best possible solution given a number of factors and requirements, some of which are at.
SAN FRANCISCO – Radar satellite operator Iceye released a product Jan. 20 to detect dark vessels, ships at sea that are not identifying themselves with Automatic Identification System (AIS) transponders.
Iceye combines observations from its constellation of three synthetic aperture radar satellites with other data sources to provide customers with radar satellite images of vessels that are not broadcasting their identification, position and course with AIS transponders. The technology is designed to help government agencies, nongovernmental organizations and commercial customers curb drug and human trafficking, find illegal fishing vessels and enforce rules against illegal transshipment of goods, Finland-based Iceye said in a Jan. 20 news release.
Dark vessel detection is a popular application for radar satellites which gather data day, night and in all weather conditions, Pekka Laurila, Iceye co-founder and chief strategy officer told SpaceNews. With three satellites in orbit, Iceye offers customers the ability to frequently revisit areas of interest. In addition, the company has developed machine learning algorithms to speed up dark vessel detection, he added.
Activists fret about armies relying on killer robots, but some forms of artificial intelligence that don’t actually pull the trigger could still be a nightmare.
The company’s machine learning-based tool applies advanced algorithms to Maccabi’s existing electronic patient data to identify unvaccinated individuals at highest risk of developing serious flu-related complications. These could include elderly people; those with uncontrolled chronic diseases or respiratory diseases; long-term smokers; those that are immunodeficient or have diabetes; or children, explained Dr. Jeremy Orr, CEO of EarlySign.
The EarlySign investigational algorithm flags these individuals, who are then contacted by their healthcare providers and encouraged to come into the clinic and be vaccinated. Patients can be contacted by phone, text message or even snail mail, depending on their communication preferences and the methods offered by their clinics.
Orr noted that the program is especially important this year when many people have already died from the flu in Israel and the virus is expected to take an exceptionally heavier toll than usual this year.
Isaac Newton and other premodern physicists saw space and time as separate, absolute entities — the rigid backdrops against which we move. On the surface, this made the mathematics behind Newton’s 1687 laws of motion look simple. He defined the relationship between force, mass and acceleration, for example, as $latex \vec{F} = m \vec{a}$.
In contrast, when Albert Einstein revealed that space and time are not absolute but relative, the math seemed to get harder. Force, in relativistic terms, is defined by the equation $latex \vec {F} =\gamma (\vec {v})^{3}m_{0}\,\vec {a} _{\parallel }+\gamma (\vec {v})m_{0}\,\vec {a} _{\perp }$.
Continue reading “How (Relatively) Simple Symmetries Underlie Our Expanding Universe” »
Not sure how old this video is. But, Very impressive if it is able to grab random objects at these speeds; although i suspect it needed a lot of training before.
This handy #roboticarm can be trained to catch practically anything. 🤖 💪
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The chess world was amazed when the computer algorithm AlphaZero learned, after just four hours on its own, to beat the best chess programs built on human expertise. Now a research group at Aarhus University in Denmark has used the very same algorithm to control a quantum computer.
All across the world, numerous research groups are attempting to build a quantum computer. Such a computer would be able to solve certain problems that cannot be solved with current classical computers, even if we combined all these computers in the world into one.
At Aarhus University, researchers share the ambition of building a quantum computer. For this reason, a research group under the direction of Professor Jacob Sherson has just used the computer algorithm AlphaZero to learn to control a quantum system.
Circa 2013
The unique relationship between the coordinates in the bore of a Magnetic Resonance Imaging (MRI) scanner and the magnetic field gradients used for MRI allows building a localization system based on the measurement of these gradients. We have previously presented a miniature 3D Hall probe integrated in a low cost, low voltage 0.35μm CMOS chip from which we were able to measure the magnetic gradient 3D maps of 1.5T and 3T MRI scanners. In this paper, this 3D Hall probe has been integrated in a magnetic tracking device prototype and an algorithm was built to determine the position of the probe. First experimental results show that the probe gives its position with accuracy close to a few millimeters, and that sub-millimeter localization in a one-shot-3ms-measurement should be readily possible. Such a prototype opens the way for the development of MRI compatible real time magnetic tracking systems which could be integrable in surgical tools for MR-guided minimally-invasive surgery.
It’s been nearly 350 years since Sir Isaac Newton outlined the laws of motion, claiming “For every action, there is an equal and opposite reaction.” These laws laid the foundation to understand our solar system and, more broadly, to understand the relationship between a body of mass and the forces that act upon it. However, Newton’s groundbreaking work also created a pickle that has baffled scientists for centuries: The Three-Body Problem.
After using the laws of motion to describe how planet Earth orbits the sun, Newton assumed that these laws would help us calculate what would happen if a third celestial body, such as the moon, were added to the mix. However, in reality, three-body equations became much more difficult to solve.
