Learning more about supernovae through stardust
Most of the diverse elements in the universe come from supernovae. We are, quite literally, made of the dust of those long-dead stars and other astrophysical processes. But the details of how it all comes about are something astronomers strive to und.....»»
How to get and use Prize Tickets in Stardew Valley
Put those hard-earned Prize Tickets to use in Stardew Valley while also learning where you can collect these tickets and what prizes are in store for you......»»
The best language-learning apps for 2024
Learning a language can be tough. Fortunately, we've found the best apps to help make learning a foreign tongue fun with lessons, quizzes, and other activities......»»
Advanced AI techniques enhance crop leaf disease detection in tropical agriculture
Researchers have made significant progress in the field of artificial intelligence by applying deep learning techniques to automate the detection and classification of crop leaf diseases......»»
Study reveals disparities in Brazilian schools—rate of physical, learning disabilities three times official statistics
A team led by Stanford education Assistant Professor Guilherme Lichand found the rate of physical and learning disabilities in the country's K-12 schools to be more than three times the official statistic......»»
Learning more about supernovae through stardust
Most of the diverse elements in the universe come from supernovae. We are, quite literally, made of the dust of those long-dead stars and other astrophysical processes. But the details of how it all comes about are something astronomers strive to und.....»»
Quantum Machines and Nvidia use machine learning to get closer to an error-corrected quantum computer
Quantum Machines and Nvidia use machine learning to get closer to an error-corrected quantum computer.....»»
Computational model calculates an organism"s ideal learning rate based on its life cycle and surroundings
Researchers at the Complexity Science Hub and Santa Fe Institute have developed a model to calculate how quickly or slowly an organism should ideally learn in its surroundings. An organism's ideal learning rate depends on the pace of environmental ch.....»»
Nest Thermostat (4th Gen) Review: A Stunner of a Smart Home Device
The new Nest Learning Thermostat (4th Gen) arrived in late August as a major upgrade to the previous “Learning” model, as well as the mid-range Nest Thermostat from 2020. The new model brings a striking new design, full compatibility with.....»»
Latest Pixel 9a Specs Include Screen Size, Cameras, and Charging Speeds
Pixel 9a launch is expected next March, but we’ve already learned so much about the device. We’ve heard about its processor, plus we know what it looks like from all angles. This week, we’re learning even more, thanks to yet another.....»»
Machine-learning analysis tracks the evolution of 16th-century European astronomical thought
A team of computer scientists, astronomers and historians in Berlin has used machine-learning applications to learn more about the evolutionary history of European astronomical thought in the 15th and 16th centuries. In their study published in the j.....»»
Using machine learning to identify bacterial resistance genes and the drugs to block them
Antibiotic resistance is a growing public health problem around the world. When bacteria like E. coli no longer respond to antibiotics, infections become harder to treat......»»
Deep learning enhances accuracy and efficiency in protein structure prediction
In the rapidly advancing field of computational biology, a review explores the transformative role of deep learning techniques in revolutionizing protein structure prediction. The review, published in MedComm—Future Medicine, is led by Dr. Xi Yu an.....»»
AI algorithm accurately detects heart disease in dogs
Researchers have developed a machine learning algorithm to accurately detect heart murmurs in dogs, one of the main indicators of cardiac disease, which affects a large proportion of some smaller breeds such as King Charles Spaniels......»»
New machine learning model quickly and accurately predicts dielectric function
Researchers Tomohito Amano and Shinji Tsuneyuki of the University of Tokyo with Tamio Yamazaki of CURIE (JSR-UTokyo Collaboration Hub) have developed a new machine learning model to predict the dielectric function of materials, rather than calculatin.....»»
Wayve, a British automated driving startup, embarks on U.S. expansion
British automated driving startup Wayve has opened an office in Sunnyvale, Calif., where it will locate a test fleet that's learning how to drive on American roads......»»
Adapting generative AI for the next generation of learning
A new study by Monash University learning analytics researchers presents key considerations for generative AI (GenAI) educational tools so they are carefully developed to support, rather than replace, human learning......»»
Nissan tech center volunteers cut loose after work: Wrenching, racing and learning
Doing hands-on mechanical work or driving an Acceleration Team vehicle in a race is more than just a way to have a little fun at work, team members say. It broadens their technical understanding of how cars work as well as how other teams within Niss.....»»
With AI translation tools so powerful, what is the point of learning a language?
In the age of artificial intelligence (AI), foreign language learning can seem like it's becoming obsolete. Why invest the time and effort to learn another language when technology can do it for you?.....»»
Q&A: More kids than ever need special education, but burnout has caused a teacher shortage
A growing number of students in public schools—right now, about 15% of them—are eligible for special education services. These services include specially designed instruction for students with autism, learning or physical disabilities, or traumat.....»»
Tracking vampire worms with machine learning
Blood samples of patients infected with a parasitic worm that causes schistosomiasis contain hidden information that marks different stages of the disease. In our recently published research, our team used machine learning to uncover that hidden info.....»»