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Categories: Chemistry: Thermodynamics, Mathematics: Modeling
Published Researchers outline promises, challenges of understanding AI for biological discovery
(via sciencedaily.com) Original source Machine learning is a powerful tool in computational biology, enabling the analysis of a wide range of biomedical data such as genomic sequences and biological imaging. But when researchers use machine learning in computational biology, understanding model behavior remains crucial for uncovering the underlying biological mechanisms in health and disease. Researchers now propose guidelines that outline pitfalls and opportunities for using interpretable machine learning methods to tackle computational biology problems.
Published A new way of thinking about the economy could help protect the Amazon, and help its people thrive
(via sciencedaily.com) Original source To protect the Amazon and support the wellbeing of its people, its economy needs to shift from environmentally harmful production to a model built around the diversity of indigenous and rural communities, and standing forests.
Published Researchers solve long-standing challenge for piezoelectric materials
(via sciencedaily.com) Original source Heat and pressure can deteriorate the properties of piezoelectric materials that make state-of-the-art ultrasound and sonar technologies possible -- and fixing that damage has historically required disassembling devices and exposing the materials to even higher temperatures. Now researchers have developed a technique to restore those properties at room temperature, making it easier to repair these devices -- and paving the way for new ultrasound technologies.
Published Heating for fusion: Why toast plasma when you can microwave it!
(via sciencedaily.com) Original source Can plasma be sufficiently heated inside a tokamak using only microwaves? New research suggests it can! Eliminating the central ohmic heating coil normally used in tokamaks will free up much-needed space for a more compact, efficient spherical tokamak.
Published Cracking the code of life: new AI model learns DNA's hidden language
(via sciencedaily.com) Original source With GROVER, a new large language model trained on human DNA, researchers could now attempt to decode the complex information hidden in our genome. GROVER treats human DNA as a text, learning its rules and context to draw functional information about the DNA sequences.
Published Revolutionary loop heat pipe transports 10 kW of waste heat -- No electricity required
(via sciencedaily.com) Original source Researchers have unveiled a new loop heat pipe capable of transporting up to 10 kW of heat without using electric power. The loop heat pipe's design aims to contribute to energy savings and carbon neutrality in various fields, including waste heat recovery, solar heat utilization, electric vehicle thermal management, and data center cooling.
Published Method prevents an AI model from being overconfident about wrong answers
(via sciencedaily.com) Original source Thermometer, a new calibration technique tailored for large language models, can prevent LLMs from being overconfident or underconfident about their predictions. The technique aims to help users know when a model should be trusted.
Published Demographics of north African human populations unravelled using genomic data and artificial intelligence
(via sciencedaily.com) Original source A new study places the origin of the Imazighen in the Epipaleolithic, more than twenty thousand years ago. The research concludes that the genetic origin of the current Arab population of north Africa is far more recent than previously believed, placing it in the seventh century AD. The team has designed an innovative demographic model that uses artificial intelligence to analyze the complete genomes of the two populations.
Published Researchers explore the potential of clean energy markets as a hedging tool
(via sciencedaily.com) Original source Clean energy investments offer potential stability and growth, especially during volatile market conditions. A recent study explored the relationship between clean energy markets and global stock markets. Significant spillovers were observed from major indices like the SP500 to markets such as Japan's Nikkei225 and Global Clean Energy Index. These interactions suggest opportunities for optimizing investment portfolios and leveraging clean energy assets as hedging tools in volatile market environments.
Published Breaking MAD: Generative AI could break the internet, researchers find
(via sciencedaily.com) Original source Researchers have found that training successive generations of generative artificial intelligence models on synthetic data gives rise to self-consuming feedback loops.
Published When allocating scarce resources with AI, randomization can improve fairness
(via sciencedaily.com) Original source Researchers argue that, in some situations where machine-learning models are used to allocate scarce resources or opportunities, randomizing decisions in a structured way may lead to fairer outcomes.
Published AI method radically speeds predictions of materials' thermal properties
(via sciencedaily.com) Original source Researchers developed a machine-learning framework that can predict a key property of heat dispersion in materials that is up to 1,000 times faster than other AI methods, and could enable scientists to improve the efficiency of power generation systems and microelectronics.
Published Fresh light on the path to net zero
(via sciencedaily.com) Original source Researchers have used magnetic fields to reveal the mystery of how light particles split. Scientists are closer to giving the next generation of solar cells a powerful boost by integrating a process that could make the technology more efficient by breaking particles of light photons into small chunks.
Published Engineer develops technique that enhances thermal imaging and infrared thermography for police, medical, military use
(via sciencedaily.com) Original source A new method to measure the continuous spectrum of light is set to improve thermal imaging and infrared thermography.
Published Next-gen cooling system to help data centers become more energy efficient
(via sciencedaily.com) Original source Artificial intelligence (AI) is hot right now. Also hot: the data centers that power the technology. And keeping those centers cool requires a tremendous amount of energy. The problem is only going to grow as high-powered AI-based computers and devices become commonplace. That's why researchers are devising a new type of cooling system that promises to dramatically reduce energy demands.
Published Raindrops grow with turbulence in clouds
(via sciencedaily.com) Original source Tackling a long-time mystery, scientists have found that the turbulent movements of air in clouds play a key role in the growth of water droplets and the initiation of rain. The research can improve computer model simulations of weather and climate and ultimately lead to better forecasts.
Published Can a computer tell patients how their multiple sclerosis will progress?
(via sciencedaily.com) Original source Machine learning models can reliably inform clinicians about the disability progression of multiple sclerosis, according to a new study published this week in the open-access journal PLOS Digital Health by Edward De Brouwer of KU Leuven, Belgium, and colleagues.
Published Large language models don't behave like people, even though we may expect them to
(via sciencedaily.com) Original source People generalize to form beliefs about a large language model's performance based on what they've seen from past interactions. When an LLM is misaligned with a person's beliefs, even an extremely capable model may fail unexpectedly when deployed in a real-world situation.
Published Drawing water from dry air
(via sciencedaily.com) Original source A prototype device harvests drinking water from the atmosphere, even in arid places.
Published Researchers develop more environmentally friendly and cost-effective method for soil remediation
(via sciencedaily.com) Original source Chemists have developed a rapid electrothermal mineralization (REM) process, which in seconds can remediate the accumulation of synthetic chemicals that can contaminate soil and the environment.