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Research scientists in Switzerland have developed and tested a robust AI model that automatically segments major anatomic structures in MRI images, independent of sequence. In the study, the model outperformed other publicly available tools.
Using mathematical modeling, researchers have discovered that rate-induced tipping, which can happen if an environment changes too fast, can happen even in Daisyworld, a simple daisy-filled ecological model. If the planet heats up or cools down too quickly, all the daisies will go extinct, even if they would otherwise have been able to survive just fine under those conditions. This discovery mirrors similar observations found in other models and observed in real-life ecosystems.
An international collaboration sheds new light on the relationship between quantum theory and thermodynamics. The research group demonstrated that while the laws of quantum theory alone do not inherently prevent violations of the second law of thermodynamics, any quantum process can be implemented without actually violating the law. This surprising result suggests a peaceful coexistence between quantum theory and thermodynamics, despite their logical independence. This discovery could have profound implications for understanding the thermodynamic limits of quantum technologies, such as quantum computing and nanoscale engines.
A study by economists shows a wide gap between the kinds of math problems kids who work in retail markets do well and the kinds of problems kids in school do well.
By analyzing almost 10,000 pregnancies, researchers discovered previously unidentified combinations of risk factors linked to serious negative pregnancy outcomes, finding that there may be up to a tenfold difference in risk for infants who are currently treated identically under clinical guidelines.
Can a computer learn a language the way a child does? A recent study sheds new light on this question. The researchers advocate for a fundamental revision of how artificial intelligence acquires and processes language.
Researchers propose a novel system that uses standing surface acoustic waves to separate circulating tumor cells from red blood cells with unprecedented precision and efficiency. The platform integrates advanced computational modeling, experimental analysis, and artificial intelligence algorithms to analyze complex acoustofluidic phenomena. The researchers included an innovative use of dualized pressure acoustic fields and strategically located them at critical channel geometry positions on a lithium niobate substrate. By means of acoustic pressure applied within the microchannel, the system design provides for the generation of reliable datasets.
Our bodies are made up of around 75 billion cells. But what function does each individual cell perform and how greatly do a healthy person's cells differ from those of someone with a disease? To draw conclusions, enormous quantities of data must be analyzed and interpreted. For this purpose, machine learning methods are applied. Researchers have now tested self-supervised learning as a promising approach for testing 20 million cells or more.
Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs) generate predictions, revealing a certain map, based on the generalized synchronization, that yields correct target values. They showed that conventional reservoir computing (RC), a type of RNN, can be viewed as a linear approximation, and introduced a 'generalized readout' incorporating further order approximations. Using a chaotic time-series forecasting task, they demonstrated that this approach dramatically enhances both prediction accuracy and robustness.
The process of updating deep learning/AI models when they face new tasks or must accommodate changes in data can have significant costs in terms of computational resources and energy consumption. Researchers have developed a novel method that predicts those costs, allowing users to make informed decisions about when to update AI models to improve AI sustainability.
- Kapil Kajal
US first drone killer suit that zaps UAVs 4-mile away with Terminator-like gun revealed
California-based DZYNE Technologies has introduced a new counter-drone solution, the Dronebuster Detect, Track, Identify, Mitigate...
- Prabhat Ranjan Mishra
China unveils underwater computing center that matches 30,000 gaming computers’ power
China has developed a new underwater, cutting-edge intelligent computing center in Hainan Province’s Lingshui. The...
- Kapil Kajal
Another jet tragedy: Two planes collide mid-air in US, fatal crash claims lives
A tragic mid-air plane collision occurred Wednesday morning in Marana, Arizona, resulting in the deaths...
- Mrigakshi Dixit
Double jackpot: Australia finds oldest megaraptor along with new dinosaur fossils
Paleontologists have uncovered fossils of not one but two apex predator groups coexisting in ancient...
- Kapil Kajal
Apple launches $599 iPhone 16e with Elon Musk’s Starlink satellite connectivity 
In a major announcement, Apple unveiled the iPhone 16e, a new addition to its widely...
- Kaif Shaikh
Microsoft’s Majorana 1: What a new state of matter means for quantum computing
Quantum computing has often been hailed as the next frontier in technology, promising to solve...
- Ameya Paleja
Microsoft unveils million-qubit quantum chip with matter never seen before
Microsoft has unveiled Majorana 1, the world’s first quantum processor built using topological core architecture,...
- Prabhat Ranjan Mishra
US launches Minuteman III missile, showcases nuclear forces’ effective deterrent
A United States Air Force team successfully launched an unarmed Minuteman III intercontinental ballistic missile....
- Mrigakshi Dixit
World’s most powerful X-ray laser aims to solve neutron puzzle, find dark matter
Dark matter is a mysterious substance that makes up most of the universe’s mass. Scientists...
- Jijo Malayil
Video: China’s humanoid robot dances while dodging soccer ball, stick attack
Chinese robotics company Unitree has unveiled new footage of its G1 humanoid robot, showcasing its...