Lifeboat Foundation

We are in the middle of a data-driven science boom. Huge, complex data sets, often with large numbers of individually measured and annotated ‘features’, are fodder for voracious artificial intelligence (AI) and machine-learning systems, with details of new applications being published almost daily.

But publication in itself is not synonymous with factuality. Just because a paper, method or data set is published does not mean that it is correct and free from mistakes. Without checking for accuracy and validity before using these resources, scientists will surely encounter errors. In fact, they already have.

In the past few months, members of our bioinformatics and systems-biology laboratory have reviewed state-of-the-art machine-learning methods for predicting the metabolic pathways that metabolites belong to, on the basis of the molecules’ chemical structures¹. We wanted to find, implement and potentially improve the best methods for identifying how metabolic pathways are perturbed under different conditions: for instance, in diseased versus normal tissues.

The young host galaxy, called GN-z11, glows from such an energetic black hole at its centre. Black holes cannot be directly observed, but instead they are detected by the tell-tale glow of a swirling accretion disc, which forms near the edges of a black hole. The gas in the accretion disc becomes extremely hot and starts to glow and radiate energy in the ultraviolet range. This strong glow is how astronomers are able to detect black holes.

GN-z11 is a compact galaxy, about one hundred times smaller than the Milky Way, but the black hole is likely harming its development. When black holes consume too much gas, it pushes the gas away like an ultra-fast wind. This ‘wind’ could stop the process of star formation, slowly killing the galaxy, but it will also kill the black hole itself, as it would also cut off the black hole’s source of ‘food’

Maiolino says that the gigantic leap forward provided by JWST makes this the most exciting time in his career. “It’s a new era: the giant leap in sensitivity, especially in the infrared, is like upgrading from Galileo’s telescope to a modern telescope overnight,” he said. “Before Webb came online, I thought maybe the universe isn’t so interesting when you go beyond what we could see with the Hubble Space Telescope. But that hasn’t been the case at all: the universe has been quite generous in what it’s showing us, and this is just the beginning.”

A mission more than a decade in the making, NASA’s Europa Clipper is slated to greatly expand our understanding of Jupiter’s icy moon, Europa, including whether it could support life. These findings will be conducted by a suite of powerful instruments contributed by a myriad of academic and research institutions across the United States. Recently, NASA JPL finished installing all these instruments on the pioneering spacecraft, bringing it one major step closer to its launch, which is currently scheduled for October of this year.

“The instruments work together hand in hand to answer our most pressing questions about Europa,” said Dr. Robert Pappalardo, who is the project scientist on Europa Clipper. “We will learn what makes Europa tick, from its core and rocky interior to its ocean and ice shell to its very thin atmosphere and the surrounding space environment.”

The nine instruments that will be responsible for accomplishing the fantastic science during the mission include the Europa Imaging System (EIS), Europa Thermal Emission Imaging System (E-THEMIS), Europa Ultraviolet Spectrograph (Europa-UVS), Mapping Imaging Spectrometer for Europa (MISE), Europa Clipper Magnetometer (ECM), Plasma Instrument for Magnetic Sounding (PIMS), Radar for Europa Assessment and Sounding: Ocean to Near-surface (REASON), MAss Spectrometer for Planetary EXploration/Europa (MASPEX), SUrface Dust Analyzer (SUDA).

A breakthrough plasmonic catalyst, stable in air, revolutionizes acetylene semi-hydrogenation, marking a significant advance in sustainable catalysis.

In a significant breakthrough, Prof. Polshettiwar’s group at TIFR, Mumbai has developed a novel “Plasmonic Reduction Catalyst Stable in Air,” defying the common instability of reduction catalysts in the presence of air. The catalyst merges platinum-doped ruthenium clusters, with ‘plasmonic black gold’. This black gold efficiently harvests visible light and generates numerous hot spots due to plasmonic coupling, enhancing its catalytic performance.

Superior Performance in Semi-Hydrogenation.

Window to the soul? Maybe, but the eyes are also a flashing neon sign for a new artificial intelligence-based system that can read them to predict what you’ll do next.

A University of Maryland researcher and two colleagues have used eye-tracking technology and a new deep-learning AI algorithm to predict study participants’ choices while they viewed a comparison website with rows and columns of products and their features.

The algorithm, known as RETINA (Raw Eye Tracking and Image Ncoder Architecture), could accurately zero in on selections before people had even made their decisions.

“Connectomes” among species provide chip-design inspiration.

New telescope detects more sources in six months than in the 60-year history of X-ray astronomy.

New nanocavities pave the way for enhanced nanoscale lasers and LEDs that could enable faster data transmission using smaller, more energy-efficient devices.

As we transition to a new era in computing, there is a need for new devices that integrate electronic and photonic functionalities at the nanoscale while enhancing the interaction between photons and electrons. In an important step toward fulfilling this need, researchers have developed a new III-V semiconductor nanocavity that confines light at levels below the so-called diffraction limit.

“Nanocavities with ultrasmall mode volumes hold great promise for improving a wide range of photonic devices and technologies, from lasers and LEDs to quantum communication and sensing, while also opening up possibilities in emerging fields such as quantum computing,” said the leading author Meng Xiong from the Technical University of Denmark. “For example, light sources based on these nanocavities could significantly improve communication by enabling faster data transmission and strongly reduced energy consumption.

Tencent releases

Real-Time Open-Vocabulary Object Detection

Discover amazing ML apps made by the community.