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Categories: Ecology: Extinction, Mathematics: Modeling
Published Accelerating the discovery of single-molecule magnets with deep learning



Single-molecule magnets (SMMs) are exciting materials. In a recent breakthrough, researchers have used deep learning to predict SMMs from 20,000 metal complexes. The predictions were made solely based on the crystal structures of these metal complexes, thus eliminating the need for time-consuming experiments and complex simulations. As a result, this method is expected to accelerate the development of functional materials, especially for high-density memory and quantum computing devices.
Published Artificial reefs help preserve coral reefs by shifting divers away from the natural ones, according to new long-term study of one in Eilat



Divers are essentially tourists who love coral reefs and invest a lot of time and effort to watch them. Unfortunately, divers also cause damage to corals, often unintentionally, through disturbing and resuspending sand, touching them, hitting them with their equipment, and scaring fish away. Artificial reefs have been proposed as a means of diverting diving pressure from the natural reef to alternative sites, thus preserving both dive tourism and the coral reef.
Published Nature's checkup: Surveying biodiversity with environmental DNA sequencing



A thousand kilometers south of Tokyo, far into the largest ocean on Earth, lies a chain of small, volcanic islands -- the Ogasawara Islands. Nature has been able to develop on its own terms here, far from both humans and the warm Kuroshio current, which acts like a shuttle, moving marine species from Taiwan, over the Ryukyu Islands, and up the Pacific coast of mainland Japan. With upwards of 70 % of trees and many animal species being endemic to the archipelago, the islands have been dubbed 'the Galapagos of the East', as they are valuable as both a biodiversity hotspot and a cradle of scientific discovery.
Published Scientists may have cracked the 'aging process' in species



Research shows the relationship between a species' age and its risk of going extinct could be accurately predicted by an ecological model called the 'neutral theory of biodiversity.'
Published Study identifies distinct brain organization patterns in women and men



Researchers have developed a powerful new artificial intelligence model that can distinguish between male and female brains.
Published Online digital data and AI for monitoring biodiversity



Researchers propose a framework for integrating online digital data into biodiversity monitoring.
Published New chip opens door to AI computing at light speed



Engineers have developed a new chip that uses light waves, rather than electricity, to perform the complex math essential to training AI. The chip has the potential to radically accelerate the processing speed of computers while also reducing their energy consumption.
Published Cold-water coral traps itself on mountains in the deep sea



Corals searching for food in the cold and dark waters of the deep sea are building higher and higher mountains to get closer to the source of their food. But in doing so, they may find themselves trapped when the climate changes.
Published Is the Amazon forest approaching a tipping point?



Global warming may be interacting with regional rainfall and deforestation to accelerate forest loss in the Amazon, pushing it towards partial or total collapse. New research has identified the potential thresholds of these stressors, showing where their combined effects could produce a 'tipping point' -- in which the forest is so fragile that just a small disturbance could cause an abrupt shift in the state of the ecosystem.
Published Australia's most at-risk bird species share some common traits



Australian birds that live on islands are among the species most at risk of extinction, a first-of-its-kind study has shown. Australia has over 750 native bird species. But many of them are facing an uncertain future.
Published Compounds released by bleaching reefs promote bacteria, potentially stressing coral further



New research revealed that when coral bleaching occurs, corals release unique organic compounds into the surrounding water that not only promote bacterial growth overall, but select for opportunistic bacteria that may further stress reefs.
Published How ancient sea creatures can inform soft robotics



Fossils of a marine animal that lived 500 million years ago, combined with computer simulations, informed the design of a new soft robot.
Published Five dazzling new species of eyelash vipers discovered in Colombia and Ecuador



Scientists have discovered five dazzling new species of eyelash vipers in the jungles and cloud forests of Colombia and Ecuador.
Published Why insects navigate more efficiently than robots



Engineers have studied how insects navigate, for the purpose of developing energy-efficient robots.
Published Innovations in depth from focus/defocus pave the way to more capable computer vision systems



In an image, estimating the distance between objects and the camera by using the blur in the images as clue, also known as depth from focus/defocus, is essential in computer vision. However, model-based methods fail when texture-less surfaces are present, and learning-based methods require the same camera settings during training and testing. Now, researchers have come up with an innovative strategy for depth estimation that combines the best of both the worlds to solve these limitations, extending the applicability of depth from focus/defocus.
Published Making AI a partner in neuroscientific discovery



The past year has seen major advances in Large Language Models (LLMs) such as ChatGPT. The ability of these models to interpret and produce human text sources (and other sequence data) has implications for people in many areas of human activity. A new perspective paper argues that like many professionals, neuroscientists can either benefit from partnering with these powerful tools or risk being left behind.
Published Dinosaurs' success helped by specialized stance and gait, study finds



Dinosaurs' range of locomotion made them incredibly adaptable, researchers have found.
Published A machine learning framework that encodes images like a retina



Researchers have developed a machine learning approach to compressing image data with greater accuracy than learning-free computation methods, with applications for retinal implants and other sensory prostheses.
Published How kelp forests persisted through the large 2014-2016 Pacific marine heatwave



New research reveals that denser, and more sheltered, kelp forests can withstand serious stressors amid warming ocean temperatures.
Published Promising heart drugs ID'd by cutting-edge combo of machine learning, human learning



Scientists have developed a new approach to machine learning -- a form of artificial intelligence -- to identify drugs that help minimize harmful scarring after a heart attack or other injuries.