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Categories: Computer Science: General, Mathematics: Modeling

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Computer Science: General
Published

Denial of service threats detected thanks to asymmetric behavior in network traffic      (via sciencedaily.com) 

Scientists have developed a better way to recognize denial-of-service internet attacks, improving detection by 90 percent.

Computer Science: General Mathematics: Modeling
Published

New method simplifies the construction process for complex materials      (via sciencedaily.com) 

A new technique incorporates many different building blocks of cellular metamaterials into one unified graph-based representation. This can be used to make a user-friendly interface that can quickly and easily model metamaterials, edit the structures, and simulate their properties.

Biology: Evolutionary Mathematics: General Mathematics: Modeling Mathematics: Puzzles
Published

Scientists uncover a surprising connection between number theory and evolutionary genetics      (via sciencedaily.com) 

An interdisciplinary team of mathematicians, engineers, physicists, and medical scientists has uncovered an unexpected link between pure mathematics and genetics, that reveals key insights into the structure of neutral mutations and the evolution of organisms.

Computer Science: General
Published

Google and ChatGPT have mixed results in medical informatiom queries      (via sciencedaily.com) 

Computer scientists found that queries for medical information about dementia disease on ChatGPT provided more objective results than similar queries on Google, but both services have strengths and weaknesses. Google provided the most current information, but the query results are skewed by service and product providers seeking customers, the researchers found. ChatGPT, meanwhile, provides more objective information, but it can be outdated and lacks the sources of its information in its narrative responses.

Computer Science: General Offbeat: Computers and Math
Published

That's funny -- but AI models don't get the joke      (via sciencedaily.com) 

Using hundreds of entries from the New Yorker magazine's Cartoon Caption Contest as a testbed, researchers challenged AI models and humans with three tasks: matching a joke to a cartoon; identifying a winning caption; and explaining why a winning caption is funny.

Computer Science: General Mathematics: Modeling Offbeat: Computers and Math Offbeat: Space Space: Exploration
Published

Researchers successfully train a machine learning model in outer space for the first time      (via sciencedaily.com)     Original source 

Scientists have trained a machine learning model in outer space, on board a satellite. This achievement could revolutionize the capabilities of remote-sensing satellites by enabling real-time monitoring and decision making for a range of applications.

Computer Science: Artificial Intelligence (AI) Computer Science: General Engineering: Robotics Research
Published

Reinforcement learning allows underwater robots to locate and track objects underwater      (via sciencedaily.com) 

A team has shown that reinforcement learning -i.e., a neural network that learns the best action to perform at each moment based on a series of rewards- allows autonomous vehicles and underwater robots to locate and carefully track marine objects and animals.

Computer Science: General Mathematics: Statistics
Published

Breakthrough in Monte Carlo computer simulations      (via sciencedaily.com) 

Researchers have developed a highly efficient method to investigate systems with long-range interactions that were previously puzzling to experts. These systems can be gases or even solid materials such as magnets whose atoms interact not only with their neighbors but also far beyond.

Computer Science: Artificial Intelligence (AI) Engineering: Robotics Research Mathematics: Modeling Offbeat: Computers and Math
Published

A simpler method for learning to control a robot      (via sciencedaily.com) 

A new machine-learning technique can efficiently learn to control a robot, leading to better performance with fewer data.

Computer Science: Encryption Computer Science: General
Published

Why computer security advice is more confusing than it should be      (via sciencedaily.com) 

If you find the computer security guidelines you get at work confusing and not very useful, you're not alone. A new study highlights a key problem with how these guidelines are created, and outlines simple steps that would improve them -- and probably make your computer safer.

Mathematics: Modeling
Published

AI predicts the work rate of enzymes      (via sciencedaily.com) 

Enzymes play a key role in cellular metabolic processes. To enable the quantitative assessment of these processes, researchers need to know the so-called 'turnover number' (for short: kcat) of the enzymes. A team of bioinformaticians now describes a tool for predicting this parameter for various enzymes using AI methods.

Computer Science: General
Published

Detecting threats beyond the limits of human, sensor sight      (via sciencedaily.com)     Original source 

A new patented software system can find the curves of motion in streaming video and images from satellites, drones and far-range security cameras and turn them into signals to find and track moving objects as small as one pixel. The developers say this system can enhance the performance of any remote sensing application.

Computer Science: General
Published

Dreaming in technicolor      (via sciencedaily.com)     Original source 

A team of computer scientists and designers has developed a tool to help people use color better in graphic design.

Mathematics: Modeling
Published

The economic life of cells      (via sciencedaily.com) 

A team has combined economic theory with biology to understand how natural systems respond to change. The researchers noticed a similarity between consumers' shopping behavior and the behavior of metabolic systems, which convert food into energy in our bodies. The team focused on predicting how different metabolic systems might respond to environmental change by using an economic tool called the Slutsky equation. Their calculations indicated that very different metabolic systems actually share previously unknown universal properties, and can be understood using tools from other academic fields. Metabolic processes are used in drug development, bioengineering, food production and other industries, so being able to predict how such systems will respond to change can offer many benefits.

Energy: Alternative Fuels Geoscience: Severe Weather Mathematics: Modeling
Published

Supercomputer used to simulate winds that cause clear air turbulence      (via sciencedaily.com) 

Using Japan's most powerful supercomputer, researchers reproduced cases of clear air turbulence around Tokyo. They simulated the fine vortices responsible for this dangerous phenomenon. The usefulness of the simulation in predicting turbulence was confirmed by comparing simulation data with data from aircraft recordings. This research should improve the forecasting of turbulence.

Mathematics: General Mathematics: Modeling
Published

Researcher turns one of the basic rules of construction upside down      (via sciencedaily.com)     Original source 

Structural engineers are familiar with seventeenth-century scientist Robert Hooke's theory that a hanging chain will mirror the shape of an upstanding rigid arch. However, new research now shows that this common-held belief is incorrect because, regardless of the similarities, the hanging chain and the arch are two incompatible mechanical systems.

Mathematics: General Mathematics: Modeling Mathematics: Puzzles
Published

Board games are boosting math ability in young children      (via sciencedaily.com) 

Board games based on numbers, like Monopoly, Othello and Chutes and Ladders, make young children better at math, according to a comprehensive review of research published on the topic over the last 23 years.

Mathematics: Modeling Physics: Quantum Computing
Published

Machine learning takes materials modeling into new era      (via sciencedaily.com) 

The arrangement of electrons in matter, known as the electronic structure, plays a crucial role in fundamental but also applied research such as drug design and energy storage. However, the lack of a simulation technique that offers both high fidelity and scalability across different time and length scales has long been a roadblock for the progress of these technologies. Researchers have now pioneered a machine learning-based simulation method that supersedes traditional electronic structure simulation techniques. Their Materials Learning Algorithms (MALA) software stack enables access to previously unattainable length scales.