Make:cast – Machine Learning for Beekeepers
You can learn a lot about the health of a hive by listening to the sounds that bees make, as a beekeeper would do. The developers of the LongHive project, featured in Make Magazine Vol 75, tell us about their efforts to use machine learning to detect.....»»
Ever considered a portable washing machine? Check these Labor Day deals
Target has a great sale on Costway portable washing machines making two models much more affordable than before. Here's what they offer......»»
Claw machine games are Rio de Janeiro"s new public enemy
Rio de Janeiro—already notorious for street muggings, corrupt politicians, ruthless militias and Kalashnikov-toting drug traffickers—has a new public enemy: plushies. Or, more specifically, the joystick-controlled claw machines that dispense them.....»»
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.....»»
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......»»
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.....»»
The Mac mini doesn"t sell in huge volumes, but is a crucial part of Apple"s ecosystem
The Mac mini, initially an affordable entry into Apple's ecosystem, has evolved into a versatile machine, though sales data paint a mixed picture of its popularity.Mac mini computerFirst introduced in 2005, the Mac mini was designed as an entry point.....»»
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.....»»
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.....»»
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?.....»»
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......»»
"Bees starving" in disastrous year for French honey
Beekeepers across France say it has been a disastrous year for honey, with bees starving to death and production plummeting by up to 80 percent......»»
Cast negotiations underway for Ted Lasso season 4, production expected to start early next year
For fans of Ted Lasso, this latest development is the most concrete news yet that season four of Apple’s hit comedy series is going ahead. Deadline reports that cast negotiations are underway, with contract options already executed for stars Han.....»»
How I turned my iPad Air into a great work machine for just $90
Can't justify the cost of the Magic Keyboard but still want to work on your iPad Air? I've found a winning combo that's yours for a third of its price......»»
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.....»»