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Technology

Companies 'dumbed down' cryptocurrency disclosures in good markets prior to reporting standardization, Rotman research finds

August 26, 2025 Companies 'dumbed down' cryptocurrency disclosures in good markets prior to reporting standardization, Rotman research finds Toronto - In the run-up to the introduction of accounting standards for the reporting of cryptocurrency, companies took various approaches to disclosing their involvement with the novel exchange medium. Investors had to rely more on contextual narrative explanations about a company's crypto involvement instead of getting it from numerical data. An analysis of reporting ...

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Simpler models can outperform deep learning at climate prediction

CAMBRIDGE, MA -- Environmental scientists are increasingly using enormous artificial intelligence models to make predictions about changes in weather and climate, but a new study by MIT researchers shows that bigger models are not always better. The team demonstrates that, in certain climate scenarios, much simpler, physics-based models can generate more accurate predictions than state-of-the-art deep-learning models. Their analysis also reveals that a benchmarking technique commonly used to evaluate machine-learning techniques for climate predictions can be distorted by natural variations in the ...

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Mount Sinai scientists identify three potent human antibodies against mpox, paving the way for new protective therapies

A team from the Microbiology Department at the Icahn School of Medicine at Mount Sinai has discovered three powerful monoclonal antibodies from a person who had previously been infected with mpox (formerly known as monkeypox). These antibodies, which target the viral protein A35, blocked viral spread in laboratory in vitro tests and, most importantly, protected rodents from severe disease and fully prevented death. The findings, published August 22 in Cell, also reveal that humans previously infected with mpox carry high levels of these protective antibodies in their blood, ...

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Technology

Smarter robot planning for the real world

Self-driving vehicles, drones, and robotic assistants are transforming industries including transportation, logistics, and health care. With new developments in hardware, AI, and machine learning, these autonomous agents can sense their surroundings with greater accuracy, understand complex environments, and engage in sophisticated reasoning. But despite such advancements, deploying robots in dynamic, real-world settings—and getting them to do what we want—remains difficult. “The overarching problem deals with robot capabilities,” says Cristian-Ioan Vasile, an assistant professor of mechanical engineering and mechanics in Lehigh University’s ...

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Optimization of biosafety laboratory management via an AI-driven intelligent system

ChatGPT and other generative AI models have achieved notable progress in natural language processing and generation, showing great potential in the medical field, such as automatically generating medical exam questions and answers, acting as personalized learning assistants, supporting course design, and aiding in medical imaging analysis. These models are also expected to be pivotal in training biosafety laboratory researchers by providing interactive learning experiences. In this study, a dataset of 62 text-based and 8 image-based biosafety questions was collected ...

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Technology

SwRI scientist leads science team contributions to a new NASA heliophysics AI foundation model

SAN ANTONIO — August 26, 2025 — NASA has launched Surya, its new heliophysics artificial intelligence foundation model to empower solar scientists with tools to enhance research and space weather forecasting. Southwest Research Institute’s Dr. Andrés Muñoz-Jaramillo led a team of scientists from several institutions and universities who played a crucial role in tailoring the scientific data and validating a powerful application to predict solar activity such as coronal mass ejections ...

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Technology

AI chatbots inconsistent in answering questions about suicide

Three widely used artificial intelligence chatbots generally do a good job responding to very-high-risk and very-low-risk questions about suicide, but they are inconsistent in answering questions about suicide that may pose intermediate risks, according to a new RAND study. Examining ChatGPT by OpenAI, Claude by Anthropic, and Gemini by Google, researchers found that ChatGPT and Claude generated appropriate responses to very-low-risk suicide-related questions and avoided direct responses to very-high-risk suicide-related questions that might encourage self-harm. Responses from Gemini were more variable. Very-high-risk ...

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Technology

Generative AI uncovers undetected bird flu exposure risks in Maryland emergency departments

Researchers from the University of Maryland School of Medicine developed a new and highly effective application of an artificial intelligence (AI) tool to quickly scan notes in electronic medical records and identify high-risk patients who may have been infected with H5N1 avian influenza or “bird flu”, according to new findings published in the journal Clinical Infectious Diseases. Using a generative AI large language model (LLM), the research team analyzed 13,494 visits across University of Maryland Medical System (UMMS) hospital emergency departments from adult patients in urban, suburban, and rural areas in 2024. These patients ...

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Technology

Digital to analog in one smooth step

Key Takeaways Harvard SEAS researchers have created an electro-optic digital-to-analog converter that bridges electronic and photonic signals for efficient photonic computing and signal processing. The device is based on a novel interferometer design and offers an alternative to conventional signal conversion and modulation methods in high-speed optical systems. The Harvard team’s device was made using a mature lithium niobate photonic foundry process similar to what exists for ...

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Technology

Chemists develop molecule for important step toward artificial photosynthesis

A research team from the University of Basel, Switzerland, has developed a new molecule modeled on plant photosynthesis: under the influence of light, it stores two positive and two negative charges at the same time. The aim is to convert sunlight into carbon-neutral fuels. Plants use the energy of sunlight to convert CO2 into energy-rich sugar molecules. This process is called photosynthesis and is the foundation of virtually all life: animals and humans can “burn” the carbohydrates produced in this way again and use the energy stored within them. This once more produces carbon dioxide, closing the cycle. This model could also be the key to environmentally ...

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Technology

"Turning spin loss into energy", developing a key technology for ultra-low power next-generation information devices

Dr. Dong-Soo Han's research team at the Korea Institute of Science and Technology (KIST) Semiconductor Technology Research Center, in collaboration with the research teams of Prof. Jung-Il Hong at DGIST and Prof. Kyung-Hwan Kim at Yonsei University, has developed a device principle that can utilize "spin loss," which was previously thought of as a simple loss, as a new power source for magnetic control. Spintronics is a technology that utilizes the "spin" property of electrons to store and control information, and it is being recognized as a key foundation for next-generation information processing technologies such as ultra-low-power ...

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Technology

Computer hardware advance solves complex optimization problems

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as arranging telecommunications, scheduling, and travel routing to maximize efficiency. Unfortunately, today’s technologies run into limits for how much processing power can be packed into a computer chip, while training artificial-intelligence models demands tremendous amounts of energy. Researchers at UCLA and UC Riverside have demonstrated a new approach that overcomes these ...

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Powerful nodes for quantum networks

Quantum networks are often described as the future of the internet — but instead of transmitting classical information in bits, they send quantum information carried by photons. These networks could enable ultra-secure communication, link together distant quantum computers into a single, vastly more powerful machine, and create precision sensing systems that can measure time or environmental conditions with unprecedented accuracy. To make such a network possible, so-called quantum network nodes — that can store ...

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Technology

New AI model can help extend life and increase safety of electric vehicle batteries

Batteries in electric vehicles wear out too quickly and this is slowing down the electrification of the transport sector. Researchers at Uppsala University have now developed an AI model that can provide a much more accurate picture of battery ageing. The model could lead to longer life and enhanced safety for electric vehicle batteries. It is not uncommon for batteries in electric cars to be the first component of the vehicle to age. This is a major waste of resources today and is holding back the transformation ...

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Self-morphing, wing-like feet enhance surface maneuverability of water striders and robots

A collaborative team of researchers from the University of California, Berkeley, the Georgia Institute of Technology, and Ajou University in South Korea has revealed that the unique fan-like propellers of Rhagovelia water striders —which allow them to glide across fast-moving streams—open and close passively, like a paintbrush, ten times faster than the blink of an eye. Inspired by this biological innovation, the team developed a revolutionary insect-scale robot that incorporates engineered self-morphing fans that mimic ...

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Technology

Putting solar panels in space could aid Europe’s net-zero transition

Space-based solar panels could enable solar power to be harvested continuously instead of only when sunlight reaches Earth, reducing Europe’s need for Earth-based wind and solar by 80%, finds a study publishing August 21 in the Cell Press journal Joule. Using energy models, researchers estimate that in 2050, space-based solar power could cut the total costs of Europe’s total grid system by 7%–15%. However, these numbers hinge upon the rapid development of two NASA-designed technologies in order to meet Europe’s goal to achieve net-zero by 2050. “In space, you potentially have the ability to position solar panels to always face ...

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A multisensor approach to accurate snow water equivalent retrieval from space

Snow water equivalent (SWE) measurements are critical for water resource management, yet existing remote sensing methods struggle to provide accurate, large-scale estimates. This study introduces a multisensor approach combining optical snow cover data and L-band interferometric synthetic aperture radar (InSAR) to enhance SWE retrievals. By analyzing multiple optical snow cover datasets in conjunction with UAVSAR L-band InSAR data, the researchers demonstrate how these combined technologies can effectively address the uncertainties in snow measurement, improving the accuracy of SWE change estimations over snow-covered regions. Current snow monitoring techniques, particularly those ...

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Chung-Ang University researchers demonstrate paper electrode-based crawling soft robots

Biological systems have inspired the development of next-generation soft robotic systems with diverse motions and functions. Such versatility in soft robots—in terms of rapid and efficient crawling—can be achieved via asymmetric bending through bilayer-type actuators that combine responsive liquid crystal elastomers (LCEs) with flexible substrates. This, in turn, requires temperature-responsive LCEs with accurate temperature regulation via elaborate Joule heating configurations. However, it is a complicated task owing to the difficulty in generating asymmetric motions using isotropic thermal distributions, necessitating simple temperature ...

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‘Rosetta stone’ of code allows scientists to run core quantum computing operations

To build a large-scale quantum computer that works, scientists and engineers need to overcome the spontaneous errors that quantum bits, or qubits, create as they operate. Scientists encode these building blocks of quantum information to suppress errors in other qubits so that a minority can operate in a way that produces useful outcomes. As the number of useful (or logical) qubits grows, the number of physical qubits required grows even further. As this scales up, the sheer number of qubits needed to create ...

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‘Cyborg jellyfish’ could aid in deep-sea research, inspire next-gen underwater vehicles

In a towering aquarium in a darkened laboratory, moon jellyfish (Aurelia aurita) hover as if floating in space. The glow of neon lights illuminates their translucent, bell-shaped bodies as they expand and contract rhythmically, their graceful tentacles flowing in wavelike patterns. CU Boulder engineer Nicole Xu watches them with fondness. Xu, an assistant professor in the Paul M. Rady Department of Mechanical Engineering, first became fascinated with moon jellies more than a decade ago because of their ...

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With human feedback, AI-driven robots learn tasks better and faster

At UC Berkeley, researchers in Sergey Levine’s Robotic AI and Learning Lab eyed a table where a tower of 39 Jenga blocks stood perfectly stacked. Then a white-and-black robot, its single limb doubled over like a hunched-over giraffe, zoomed toward the tower, brandishing a black leather whip. Through what might have seemed to a casual viewer like a miracle of physics, the whip struck in precisely the right spot to send a single block flying out from the stack while the rest of the tower remained structurally sound. This task, known as ...

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Breaking physical hardware limits: AI-enabled ultra-high-speed structured-light 3D imaging

To overcome this limitation, Frequency Division Multiplexing (FDM) a classical information multiplexing technique in communication systems offers a promising solution. As early as 1997, Professor Takeda has introduced FDM into FPP, enabling two fringe patterns of different frequencies to be superimposed onto a single image, thus allowing simultaneous phase demodulation and unwrapping. Similarly, in off-axis digital holography, researchers overlapped holograms captured at different time points within a single exposure, enabling multi-temporal holographic reconstruction from just one multiplexed ...

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AI learns biological variability to develop a high-performance serum-free culture medium

Tsukuba, Japan—Cell culture is a foundational technology widely used across fields such as pharmaceutical production, regenerative medicine, food science, and materials engineering. A critical component of successful cell culture is the culture medium—a solution containing essential nutrients that support cell growth. Therefore, optimizing the culture medium for specific applications is vital. Recently, machine learning has become a powerful tool for efficient media optimization. However, the experimental ...

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Breaking new ground in stealth technology: KRISS develops core radar components domestically

The Korea Research Institute of Standards and Science (KRISS, President Lee Ho Seong) has successfully localized core Radar Stealth technologies through indigenous development, without reliance on foreign technologies. This achievement is a significant milestone, laying the foundation for the establishment of stealth weapon systems in Korea, which have long been difficult to import due to their classification as national strategic military assets. As global military tensions rise and competition in advanced weapon development intensifies, the importance of developing stealth weapon systems has increased significantly. Radar stealth ...

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Robust isolated quantum spins established on a magnetic substrate

Establishing robust isolated spins on solid surfaces is crucial for fabricating quantum bits or qubits, sensors, and single-atom catalysts. An isolated spin is a single spin that is shielded from external interactions. Because isolated spins can maintain their state for long periods, they are ideal for use as qubits, the basic units of quantum computation, and for ultrafast spintronic memory. Consequently, significant research has been dedicated to identifying materials capable of producing a stable isolated quantum spin. Candidates include single atoms of transition metals such as copper (Cu) in the Cu-phthalocyanine molecule (CuPc), molecular magnets, nitrogen-vacancy ...

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