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Categories: Energy: Technology, Mathematics: Modeling
Published Think fast -- or not: Mathematics behind decision making



New research explains the mathematics behind how initial predispositions and additional information affect decision making.
Published AI poses no existential threat to humanity, new study finds



Large Language Models (LLMs) are entirely controllable through human prompts and lack 'emergent abilities'; that is, the means to form their own insights or conclusions. Increasing model size does not lead LLMs to gain emergent reasoning abilities, meaning they will not develop hazardous abilities and therefore do not pose an existential threat. A new study sheds light on the (until now unexplained) capabilities and shortcomings of LLMs, including the need for carefully engineered prompts to exhibit good performance.
Published Engineers bring efficient optical neural networks into focus



Researchers have published a programmable framework that overcomes a key computational bottleneck of optics-based artificial intelligence systems. In a series of image classification experiments, they used scattered light from a low-power laser to perform accurate, scalable computations using a fraction of the energy of electronics.
Published Researchers develop AI model that predicts the accuracy of protein--DNA binding



A new artificial intelligence model can predict how different proteins may bind to DNA.
Published Increasing solid-state electrolyte conductivity and stability using helical structure



Solid-state electrolytes have been explored for decades for use in energy storage systems and in the pursuit of solid-state batteries. These materials are safer alternatives to the traditional liquid electrolyte -- a solution that allows ions to move within the cell -- used in batteries today. However, new concepts are needed to push the performance of current solid polymer electrolytes to be viable for next generation materials.
Published Researchers outline promises, challenges of understanding AI for biological discovery



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 Electric bandage holds promise for treating chronic wounds



Researchers have developed an inexpensive bandage that uses an electric field to promote healing in chronic wounds. In animal testing, wounds that were treated with these electric bandages healed 30% faster than wounds treated with conventional bandages.
Published Turning unused signals such as Wi-Fi into energy for electronics



We are constantly surrounded by electromagnetic waves such as Wi-Fi. Researchers tested a device to convert this ambient energy into energy for electronic devices.
Published World's highest-performance superconducting wire segment



Researchers report that they have fabricated the world's highest-performing high-temperature superconducting wire segment while making the price-performance metric significantly more favorable.
Published Stacking molecules like plates improves organic solar device performance



Researchers found that how well light-converting molecules stack together in a solid is important for how well they convert light into electric current. A rigid molecule that stacked well showed excellent electricity generation in an organic solar cell and photocatalyst, easily outperforming a similar flexible molecule that did not stack well. This new way of improving the design of molecules could be used to pioneer the next generation of light-converting devices.
Published A new way of thinking about the economy could help protect the Amazon, and help its people thrive



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 Cracking the code of life: new AI model learns DNA's hidden language



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 Novel ultrafast electron microscopy technique advances understanding of processes applicable to brain-like computing



A team developed a new microscopy technique that uses electrical pulses to track the nanosecond dynamics within a material that is known to form charge density waves. Controlling these waves may lead to faster and more energy-efficient electronics.
Published Revolutionary loop heat pipe transports 10 kW of waste heat -- No electricity required



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 Solving the doping problem: Enhancing performance in organic semiconductors



Physicists have discovered two new ways to improve organic semiconductors. They found a way to remove more electrons from the material than previously possible and used unexpected properties in an environment known as the non-equilibrium state, boosting its performance for use in electronic devices.
Published Method prevents an AI model from being overconfident about wrong answers



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 'Smarter' semiconductor technology for training 'smarter' artificial intelligence



A research team has recently demonstrated that analog hardware using ECRAM devices can maximize the computational performance of artificial intelligence, showcasing its potential for commercialization.
Published Demographics of north African human populations unravelled using genomic data and artificial intelligence



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 Pursuing the middle path to scientific discovery



Scientists have made significant strides in understanding the properties of a ferroelectric material under an electric field. This breakthrough holds potential for advances in computer memory, lasers and sensors for ultraprecise measurements.
Published 'Smarter' semiconductor technology for training 'smarter' artificial intelligence



Scientists develop next-generation semiconductor technology for high-efficiency, low-power artificial intelligence.