The Standard Model is one of the most well-tested theories in particle physics. But scientists are searching for new physics beyond it.
In particle physics, “annihilation” is a transformation.
Building experimental evidence suggests that the electron, muon and tau may feel different forces.
They’re focusing on cargo transport instead of passengers. So they’re downsizing.
Virgin Hyperloop has fired 111 of its employees as it abandons the idea of making its system ready for passenger use. The Financial Times is reporting that the company is exclusively focusing on moving cargo, and has slashed almost half of its total workforce. A spokesperson confirmed to the paper that the shift in business was taking place, with supply chain issues and COVID contributing to the change.
Since its inception, the company has been developing its vacuum-tube system to carry both passengers and freight. One of the earliest concepts VH floated was an “inland port,” in which cargo vessels would put containers onto capsules that are shot inland before they’re processed. That way, the main logistics hub wouldn’t need to be beside the sea, and could instead be at the heart of a transit hub closer to customers.
With the advent of Big Data, current computational architectures are proving to be insufficient. Difficulties in decreasing transistors’ size, large power consumption and limited operating speeds make neuromorphic computing a promising alternative.
Neuromorphic computing, a new brain-inspired computation paradigm, reproduces the activity of biological synapses by using artificial neural networks. Such devices work as a system of switches, so that the ON position corresponds to the information retention or “learning,” while the OFF position corresponds to the information deletion or “forgetting.”
In a recent publication, scientists from the Universitat Autònoma de Barcelona (UAB), the CNR-SPIN (Italy), the Catalan Institute of Nanoscience and Nanotechnology (ICN2), the Institute of Micro and Nanotechnology (IMN-CNM-CSIC) and the ALBA Synchrotron have explored the emulation of artificial synapses using new advanced material devices. The project was led by Serra Húnter Fellow Enric Menéndez and ICREA researcher Jordi Sort, both at the Department of Physics of the UAB, and is part of Sofia Martins Ph.D. thesis.
In the field of optogenetics, scientists investigate the activity of neurons in the brain using light. A team led by Prof. Dr. Ilka Diester and Dr. David Eriksson from the Optophysiology Laboratory at the University of Freiburg has developed a new method to simultaneously conduct laminar recordings, multifiber stimulations, 3D optogenetic stimulation, connectivity inference, and behavioral quantification on brains. Their results are presented in Nature Communications. “Our work paves the way for large-scale photo-recording and controlled interrogation of fast neural communication in any combination of brain areas,” Diester explains. “This can help us unravel the rapid and multilayered dialogs between neurons that maintain brain function.”
The research group, in collaboration with Dr. Patrick Ruther of the Department of Microsystems Engineering (IMTEK) at the University of Freiburg, is developing a new method for the controlled interrogation and recording of neuronal activity in the brain. To do this, the team is taking advantage of thin, cell-sized optical fibers for minimally invasive optogenetic implantation. “We combine side-emitting fibers with silicon probes to achieve high-quality recordings and ultrafast, multichannel optogenetic control.”
They call the system Fused Fiber Light Emission and eXtracellular Recording, or FFLEXR. In addition to optical fibers that can be attached to any silicon probe, the team uses linear depth-resolved stimulation, a lightweight fiber matrix connector, a flexible multifiber ribbon cable, an optical commutator for efficient multichannel stimulation, a general-purpose patch cable, and an algorithm to manage the photovoltaic response.
Deep learning is “a ball of mud accumulating all of AI,” says Amazon VP and distinguished scientist Nikko Ström. Integrating symbolic reasoning and learning eff… See more.
Integrating symbolic reasoning and learning efficiently from interactions with the world are two major remaining challenges, says vice president and distinguished scientist Nikko Ström.
Yesterday, LHCb submitted for publication new results of matter-antimatter oscillations using decays of charm particles, significantly improving the current experimental knowledge!
Read our news: https://lhcb-outreach.web.cern.ch/2022/02/21/high-precision-…ht-mesons/
Today, the LHCb Collaboration submitted for publication a paper that reports the results of the high precision measurement of the charm oscillation (mixing) parameter yCP – yCPKπ using two body D0 meson decays. The result is more precise than the current world average value by a factor of four.
A new tool can help companies unlock digital transformation—for operations excellence in the next normal and beyond.
Beavers are headed north, and they’re remaking the Alaskan tundra as they go.
Doorbells are among those everyday objects that started out simple but picked up an immense amount of complexity over the years. What began as a mechanism to bang two pieces of metal together evolved into all kinds of wired and wireless electric bells, finally culminating in today’s smart doorbells that beam a live video feed to their owners even if they’re half a world away.
But sometimes, less is more. [Low tech obsession] built a doorbell out of spare components that doesn’t require Internet connectivity or even a power supply. But it’s not a purely mechanical device either: the visitor turns a knob mounted on a stepper motor, generating pulses of alternating current. These pulses are then fed into the voice coil of an old hard drive, causing its arm to vibrate and strike a bell, mounted where the platters used to be.
Tesla asks for help… SpaceX stacks… Elon Musk pays in Doge. It’s the free edition of Musk Reads #286.
And for our premium members — last week, you learned about Moon Bikes. This week, you will hear from author Jimmy Soni about what Musk’s earliest success reveals about his management style.
