Lifeboat Foundation

Supernovae, which are exploding stars, play a pivotal role in galaxy formation and evolution. However, simulating these phenomena accurately and efficiently has been a significant challenge. For the first time, a team including researchers from the University of Tokyo has utilized deep learning to enhance supernova simulations. This advancement accelerates simulations, crucial for understanding galaxy formation and evolution, as well as the evolution of chemistry that led to life.

When you hear about deep learning, you might think of the latest app that sprung up this week to do something clever with images or generate humanlike text. Deep learning might be responsible for some behind-the-scenes aspects of such things, but it’s also used extensively in different fields of research. Recently, a team at a tech event called a hackathon applied deep learning to weather forecasting. It proved quite effective, and this got doctoral student Keiya Hirashima from the University of Tokyo’s Department of Astronomy thinking.

Detection efficiency is 1,000 times higher than conventional ion detectors due to high sensitivity.

An international research team led by quantum physicist Markus Arndt (University of Vienna) has achieved a breakthrough in the detection of protein ions: Due to their high energy sensitivity, superconducting nanowire detectors achieve almost 100% quantum efficiency and exceed the detection efficiency of conventional ion detectors at low energies by a factor of up to a 1,000. In contrast to conventional detectors, they can also distinguish macromolecules by their impact energy. This allows for more sensitive detection of proteins and it provides additional information in mass spectrometry. The results of this study were recently published in the journal Science Advances.

Advancements in Mass Spectrometry.

EPFL researchers have developed a hybrid device that significantly improves existing, ubiquitous laser technology.

The team at EPFL’s Photonic Systems Laboratory (PHOSL) has developed a chip-scale laser source that enhances the performance of semiconductor lasers while enabling the generation of shorter wavelengths. This pioneering work, led by Professor Camille Brès and postdoctoral researcher Marco Clementi from EPFL’s School of Engineering represents a significant advance in the field of photonics, with implications for telecommunications, metrology, and other high-precision applications.

Innovative integration for improved coherence and visibility.

A groundbreaking study introduces advanced nanometric optomechanical cavities, paving the way for more efficient quantum networks and improving quantum computing and communication technologies.

The ability to transmit information coherently in the band of the electromagnetic spectrum from microwave to infrared is vitally important to the development of the advanced quantum networks used in computing and communications.

A study conducted by researchers at the State University of Campinas (UNICAMP) in Brazil, in collaboration with colleagues at ETH Zurich in Switzerland and TU Delft in the Netherlands, focused on the use of nanometric optomechanical cavities for this purpose. These nanoscale resonators promote interaction between high-frequency mechanical vibrations and infrared light at wavelengths used by the telecommunications industry.

Researchers at Western Sydney University in Australia have teamed up with tech giants Intel and Dell to build a massive supercomputer intended to simulate neural networks at the scale of the human brain.

They say the computer, dubbed DeepSouth, is capable of emulating networks of spiking neurons at a mind-melting 228 trillion synaptic operations per second, putting it on par with the estimated rate at which the human brain completes operations.

The project was announced at this week’s NeuroEng Workshop hosted by Western Sydney’s International Centre for Neuromorphic Systems (ICNS), a forum for luminaries in the field of computational neuroscience.

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Researchers from the Human-centric Artificial Intelligence Centre at the University of Technology Sydney have developed a portable, non-invasive system that can turn silent thoughts into text.

Continue reading “Revolutionary Mind-Reading AI System” »

Bulky and hard to wrangle, molecules have long defied physicists’ attempts to lure them into a state of controlled quantum entanglement, whereby the molecules are intimately linked even at a distance.

Now, for the first time, two separate teams have succeeded in entangling pairs of ultra-cold molecules using the same method: microscopically precise optical ‘tweezer traps’

Quantum entanglement is a bizarre yet fundamental phenomenon of the quantum realm that physicists are trying to tap into to create the first, commercial quantum computers.

Life may be much, much older than Earth.

The hunt for a theory of quantum gravity suggests that space-times might emerge more easily than anyone imagined.