Fighting off pests with deep learning and drones
Early detection of pest infestation is an important first step in the adoption of control measures that can be tailored to specific local conditions. Remote sensing technology can be a helpful tool, allowing the quick scanning of large areas, but it'.....»»
Does your Duolingo app icon look sick? You’re not alone
Quick, someone give the Duolingo app icon a tissue! Everyone's favorite language learning owl has a case of the sniffles......»»
Proper greening of schoolyards fosters inclusion, creative learning and children"s health
At a time of growing interest in the naturalizing of school playgrounds, it is important to ensure that these environments are properly designed and governed in order to reap the many benefits they can bring to schoolchildren and society in general......»»
Machine-learning models can predict colonization outcomes of complex microbial communities
Microbial communities are constantly exposed to the invasion of exogenous species, which can significantly alter their composition and function. The capacity of a microbial community to resist invasion is regarded as an emergent property resulting fr.....»»
New Horizons spacecraft measurements shed light on the darkness of the universe
Just how dark is deep space? Astronomers may have finally answered this long-standing question by tapping into the capabilities and distant position of NASA's New Horizons spacecraft, by making the most precise, direct measurements ever of the total.....»»
Colorado"s Standley Lake baby bald eagles survive after years of tragedy
Three baby bald eagles at Standley Lake survived to become juveniles and are learning to hunt and live on their own after years of tragedy and mishaps, Westminster officials said this week......»»
Trying to outrun Ukrainian drones? Kursk traffic cams still issue speeding tickets.
Drones are everywhere. Traffic cameras don't care. Enlarge / Ukrainian FPV drone hunting Russian army assets along a road. Imagine receiving a traffic ticket in the mail because you were speeding down a Russian road in.....»»
Sweaty corn is making it even more humid
Barb Boustead remembers learning about corn sweat when she moved to Nebraska about 20 years ago to work for the National Oceanic and Atmospheric Administration and found herself plunked down in an ocean of corn. The term for the late-summer spike in.....»»
Hohem iSteady V3 review: Robust gimbal with a learning curve
The Hohem iSteady V3 is a gimbal packed with useful features, but patience is required to learn its potential.Hohem iSteady V3 ReviewMany people opt to use a gimbal to gain an advantage in their phone photography, whether they're capturing memorable.....»»
Exploring Darwin"s longstanding interest in biological rhythms
A close reading of Darwin's work suggests a deep interest in cyclical events. Rhythmic phenomena in nature—today the subjects of the field of chronobiology—have been studied since at least the 18th century. In a perspective, Tiago Gomes de Andrad.....»»
Towards a large materials model for AI-driven materials discovery
Following the success of large language models, the concept of large materials models as deep-learning computational models for materials design has attracted great interest. Nevertheless, the task of acquiring large materials models appears to be qu.....»»
Nest Learning Thermostat 4th-Gen review: Finally, Apple Home compatibility
The biggest update ever to the Nest Learning Thermostat finally supports Apple Home, but it's an expensive offering with some big caveats that might be a problem for some users.Nest Learning Thermostat 4th-gen reviewWe had been Nest fans for a long t.....»»
Dual protein analysis approach provides potential way to slow cancer growth
Fighting cancer effectively often involves stopping cancer cells from multiplying, which requires understanding proteins that the cells rely on to survive. Protein profiling plays a critical role in this process by helping researchers identify protei.....»»
Using machine learning to speed up simulations of irregularly shaped particles
Simulating particles is a relatively simple task when those particles are spherical. In the real world, however, most particles are not perfect spheres, but take on irregular and varying shapes and sizes. Simulating these particles becomes a much mor.....»»
Nest Learning Thermostat (4th Gen) vs. Amazon Smart Thermostat: Which is best for your home?
While the Nest Learning Thermostat (4th Gen) is expensive, it gets you several premium features. But would you be better off with the Amazon Smart Thermostat?.....»»
After wildfires, mudslides come: Fighting the impact of climate change on rural communities
It took more than 25 years for Rhonda MacDonald and her family to transform their 41-hectare property on the Shackan Indian Band Lands, south of Merritt, BC, into a vibrant business and homestead—but a massive 2022 debris flow changed everything in.....»»
Nest Smart Learning Thermostat, Sonos app issues, & Wi-Fi issues on HomeKit Insider
On this episode of the HomeKit Insider Podcast, we review the brand-new Nest Learning Thermostat fourth-generation as well as answer a few listener questions.HomeKit Insider PodcastThis week in the news the Sonos CEO said while they were hopeful they.....»»
Tim Walz"s son Gus has a nonverbal learning disorder: What is that?
After his heartfelt reaction to his father's acceptance speech at the Democratic National Convention thrust him into the spotlight, 17-year-old Gus Walz has become one of the most high-profile people with nonverbal learning disorder......»»
Two strategies to protect your business from the next large-scale tech failure
The CrowdStrike event in July clearly demonstrated the risks of allowing a software vendor deep access to network infrastructure. It also raised concerns about the concentration of digital services in the hands of a few companies. A prescient Reddit.....»»
Machine learning uses X-ray diffraction data from polymers to predict the behavior of new materials
Polymers such as polypropylene are fundamental materials in the modern world, found in everything from computers to cars. Because of their ubiquity, it's vital that materials scientists know exactly how each newly developed polymer will perform under.....»»
Extreme rainfall event study demonstrates improved forecasting via physics-guided machine learning
A research team focused on the extreme rainfall event of "21·7" in Henan in 2021. By analyzing anomalous physical characteristics and understanding multi-model forecast biases, they significantly enhanced the accuracy of precipitation intensity fore.....»»