Is a Pennsylvania groundhog"s prediction accurate in your neck of the woods?
Persuaded by pomp and pageantry, people across the nation are more likely to put faith in a Pennsylvania groundhog's weather predictions than those made by local woodchucks, according to a national survey query made on behalf of a University of Virgi.....»»
3D printed Macintosh Plus created with ‘Steve Jobs-like attention to detail’
A guy who describes himself as a huge Apple enthusiast and a “designer and tinkerer” has created a painstakingly accurate 3D printed Macintosh Plus. In what has been described as “Steve Jobs-like attention to detail,” it even boots from (a.....»»
Biologists use machine learning to classify fossils of extinct pollen
In the quest to decipher the evolutionary relationships of extinct organisms from fossils, researchers often face challenges in discerning key features from weathered fossils, or with prioritizing characteristics of organisms for the most accurate pl.....»»
Entirely accurate 3D-printed Mac Plus built in these 29 painstaking steps
What could have been a dozen separate videos is instead one 48-minute marvel. Enlarge (credit: Kevin Noki) Have you ever worked on a hobby project where modifying and compiling the source code for a Linux-based emulator.....»»
Research unveils findings in storm microphysics parameterization
Research led by Professor Ming Xue from the University of Oklahoma's Center for Analysis and Prediction of Storms has uncovered new insights into microphysics parameterization (MP) schemes, significantly advancing our understanding of ice hydrometeor.....»»
Baby giraffe dies of a broken neck at Zoo Miami
A baby giraffe has died of a broken neck at Zoo Miami, zoo officials said......»»
Harnessing AI and advanced imaging for precision plant stress management
Plant phenotyping is key to improving crop production, especially as global food demands rise. Recent advances in AI and imaging sensor technologies offer promising methods for early and accurate plant stress detection, overcoming the limitations of.....»»
Advancements in greenhouse spike detection with deep learning for enhanced phenotypic trait analysis
Accurate extraction of phenotypic traits from image data is essential for cereal crop research, but spike detection in greenhouses is challenging due to the environmental and physical similarities between spikes and leaves. Recent efforts include inc.....»»
Breakthrough in melting point prediction: 100-year-old physics problem solved
A longstanding problem in physics has finally been cracked by Professor Kostya Trachenko of Queen Mary University of London's School of Physical and Chemical Sciences. His research, published in Physical Review E, unveils a general theory for predict.....»»
3 underrated Netflix movies you should watch this weekend (March 15-17)
Looking for a movie to watch on Netflix? Then watch these three underrated movies starring James Woods. Mark Wahlberg, Rese Witherspoon and others this weekend......»»
New technique in tiny tool tuning: Making microscopic measurements more accurate
Fluidic force microscopy (FluidFM) combines the sensitivity of atomic force microscopy with microfluidics' capabilities, necessitating precise calibration of its cantilevers for reliable data. Traditional methods, however, struggle with the unique in.....»»
Researchers present "domino effect" sensing mechanism to detect amine approaching picomolar level
Accurate and sensitive detection of amines is crucial in industrial safety, environmental monitoring and clinical diagnosis. Ongoing research and development of sensing materials offer promise for enhancing the sensitivity and selectivity of amine de.....»»
Creating soundscapes increases coral larval settlement, study finds
A team of marine biologists and oceanographers at the Woods Hole Oceanographic Institution in Falmouth, Massachusetts, has found that creating soundscapes for coral larvae encourages them to settle on desired coral reefs......»»
DomAda-FruitDet: Domain-adaptive anchor-free fruit detection model for auto labeling
In the evolving landscape of the modern fruit industry, deep learning-based fruit detection applications have become integral, facilitating tasks such as fruit yield prediction and automated picking. Despite advancements, the labor-intensive process.....»»
Scientists develop deep learning method to design bilin-binding proteins
David Baker's group at the University of Washington, Seattle, U.S., have developed a novel deep learning method, RoseTTAFold All-Atom (RFAA), for prediction and design of complexes of proteins, small molecules, and nucleic acids. Subsequently, they d.....»»
The best places to land in Fortnite (Chapter 5, Season 2)
While having accurate aim is key to winning in Fortnite, so is choosing a good drop spot. Here are the best Fortnite drop spots for chapter 5, season 1......»»
iPhone 16 Pro design files show larger Action button, new Capture button, more
iPhone 16 Pro is still half a year away, but we already have some ideas of what to expect. 91mobiles, which often publishes accurate design files of unannounced Apple products, adds to the knowledge base with a new set of iPhone 16 Pro CAD files......»»
Understanding wind and water at the equator are key to more accurate future climate projections: Study
Getting climate models to mimic real-time observations when it comes to warming is critical—small discrepancies can lead to misunderstandings about the rate of global warming as the climate changes. A new study from North Carolina State University.....»»
Predicting who will experience aesthetic chills
Researchers have built a model that can predict with 73.5% accuracy when a person will experience aesthetic chills: shivers, goosebumps, or a feeling of cold down the neck or spine elicited by aesthetic stimuli, such as beautiful music or an inspirat.....»»
Study looks at challenges facing global food production data
To understand the food production resources necessary to help feed a growing global population, accurate and up-to-date data, such as crop, livestock, aquaculture and fisheries statistics, are crucial for the implementation of effective food system i.....»»
A machine learning predictor enhances capability for solving intricate physical problems
In a recent development at Fudan University, a team of applied mathematicians and AI scientists has unveiled a cutting-edge machine learning framework designed to revolutionize the understanding and prediction of Hamiltonian systems. The paper is pub.....»»