Tech
Artificial neuron merges DRAM with MoS₂ circuits to better emulate brain-like adaptability

The rapid advancement of artificial intelligence (AI) and machine learning systems has increased the demand for new hardware components that could speed up data analysis while consuming less power. As machine learning algorithms draw inspiration from biological neural networks, some engineers have been working on hardware that also mimics the architecture and functioning of the human brain.
Brain-inspired, or neuromorphic, hardware typically integrates components that mimic the functioning of brain cells, which are thus referred to as artificial neurons. Artificial neurons are connected to one another, with their connections weakening or strengthening over time.
This process resembles synaptic plasticity, the ability of the brain to adapt over time in response to experience and learning. By emulating synaptic plasticity, neuromorphic computing systems could run machine learning algorithms more efficiently, consuming less energy when analyzing large amounts of data and making predictions.
Researchers at Fudan University have recently developed a device based on the ultrathin semiconductor monolayer molybdenum disulfide (MoS₂) that could emulate the adaptability of biological neurons better than other artificial neurons introduced in the past. The new system, introduced in a paper published in Nature Electronics, combines a type of computer memory known as dynamic random-access memory (DRAM) with MoS₂-based circuits.
“Neuromorphic hardware that accurately simulates diverse neuronal behaviors could be of use in the development of edge intelligence,” Yin Wang, Saifei Gou and their colleagues wrote in their paper.
“Hardware that incorporates synaptic plasticity—adaptive changes that strengthen or weaken synaptic connections—has been explored, but mimicking the full spectrum of learning and memory processes requires the interplay of multiple plasticity mechanisms, including intrinsic plasticity. We show that an integrate-and-fire neuron can be created by combining a dynamic random-access memory and an inverter that are based on wafer-scale monolayer molybdenum disulfide films.”
The artificial neuron developed by the researchers has two key components: a DRAM system and an inverter circuit. DRAMs are memory systems that can store electrical charges in structures known as capacitors. The amount of electrical charge in the capacitors can be modulated to mimic variations in the electrical charge across the membrane of biological neurons, which ultimately determine whether they will fire or not.
An inverter, on the other hand, is an electronic circuit that can flip an input signal from high voltage to low voltage or vice versa. In the team’s artificial neuron, this circuit enables the generation of bursts of electricity resembling those observed in biological neurons when they fire.
“In the system, the voltage in the dynamic random-access memory capacitor—that is, the neuronal membrane potential—can be modulated to emulate intrinsic plasticity,” wrote the authors. “The module can also emulate the photopic and scotopic adaptation of the human visual system by dynamically adjusting its light sensitivity.”
To assess the potential of the artificial neuron they created, the researchers fabricated a few and assembled them into a 3 × 3 grid. They then tested the ability of this 3×3 neuron array to adapt its responses to inputs based on changes in light, mimicking how the human visual system adapts in different lighting conditions. Finally, they used their system to run a model for image recognition and assessed its performance.
“We fabricate a 3 × 3 photoreceptor neuron array and demonstrate light coding and visual adaptation,” wrote the authors. “We also use the neuron module to simulate a bioinspired neural network model for image recognition.”
The artificial neuron developed by Wang, Gou and their colleagues has proved to be very promising so far, particularly for the energy-efficient implementation of computer vision and image recognition models. In the future, the researchers could fabricate other bio-inspired computing systems based on the newly developed device and test their performance on other computational tasks.
Written for you by our author Ingrid Fadelli, edited by Gaby Clark, and fact-checked and reviewed by Robert Egan—this article is the result of careful human work. We rely on readers like you to keep independent science journalism alive.
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More information:
Yin Wang et al, A biologically inspired artificial neuron with intrinsic plasticity based on monolayer molybdenum disulfide, Nature Electronics (2025). DOI: 10.1038/s41928-025-01433-y.
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Tech
Paper industry could become more energy-efficient with a new measurement method

The pulp and paper industry consumes large amounts of energy. But despite stricter EU requirements for efficiency improvements, there has been no way to measure and compare energy consumption between different companies in a fair way. In collaboration with the Swedish Environmental Protection Agency, researchers at Linköping University, Sweden, now present a solution that has great potential to be used throughout the EU.
“Even if this would contribute to increasing efficiency by one or a few percent only, this involves so much energy that it can make a huge difference,” says Kristina Nyström, Ph.D. student at the Department of Management and Engineering at Linköping University.
Globally, the pulp and paper industry accounts for 4% of energy used by the industrial sector. Through its Industrial Emissions Directive, the EU has set efficiency requirements for the industrial sector to reduce climate impact. An important tool for this is to make comparisons between factories within an industry—so-called benchmarking.
“But this has not been possible in the paper industry, because the mills have been so different that comparable results have not been achieved,” Kristina Nyström explains.
Therefore, the Swedish Environmental Protection Agency, assisted by Linköping University and Chalmers Industriteknik and in consultation with the paper industry, has developed a calculation method to enable comparisons. The method, which is presented in an article published in the journal Applied Energy, has great potential to be used throughout the EU, according to Olof Åkesson, former Swedish Environmental Protection Agency employee, who initiated the project.
The solution is to divide paper production into standardized processes such as actual pulp production, dissolution of purchased pulp, drying of pulp or paper production. These processes are common to enough mills for comparisons to be meaningful. In this way, companies can discover what in their processes works less efficiently compared to others, where improvements can be made and which actions would be most beneficial.
In addition, this method allows for more measures to be included in the energy efficiency efforts. One example is that companies are credited with the residual heat from manufacturing that is used in the surrounding community, such as the heating of homes or greenhouses.
Should this method gain ground, it could contribute to a changed approach to energy efficiency. At present, public agencies’ demands for energy audits often focus on details, which risks significant efficiency measures being overlooked.
“The benefit of making the pulp and paper industry more efficient is that this can reduce the use of fossil fuels and release raw materials, biofuels and electricity for other purposes,” says Åkesson.
With the involvement of researchers, public agencies and companies in the pulp and paper industry, chances are high that the method was designed in a way that is useful in practice. The collaboration between organizations can serve as a model for other industries wanting to develop their own measurement methods, according to Nyström.
Several companies that tested the measurement method have been positive, and it now needs to be spread and tested on a larger scale, the researchers say. The Swedish Environmental Protection Agency is working to develop the model, now also in dialog with public agencies and the pulp and paper industry in Finland.
More information:
Olof Åkesson et al, A calculation method enabling energy benchmarking in the pulp and paper industry: Adopting a methodology that bridge the research–policy implementation gap, Applied Energy (2025). DOI: 10.1016/j.apenergy.2025.126685
Citation:
Paper industry could become more energy-efficient with a new measurement method (2025, October 16)
retrieved 16 October 2025
from https://techxplore.com/news/2025-10-paper-industry-energy-efficient-method.html
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Tech
Researchers chart path for investors to build a cleaner aviation industry

Cutting planet-warming pollution to near-zero will take more than inventing new clean technologies—it will require changing how the world invests in them. That’s especially true for industries like aviation, where developing and adopting greener solutions is risky and expensive, according to a University of California San Diego commentary piece in Science.
The paper calls for smarter ways of managing investment risk that could help speed up the shift toward cleaner air travel and other hard-to-decarbonize sectors.
“The aviation sector—a fast-growing source of greenhouse gases—illustrates the broader challenge of industrial decarbonization: too little investment in technologies that could yield the biggest climate benefits,” said the paper’s co-author David G. Victor, professor of innovation and public policy at the UC San Diego School of Global Policy and Strategy and co-director of the Deep Decarbonization Initiative.
The piece outlines a new approach that could help guide a coalition of research and development (R&D) programs alongside investors and airlines seeking to deploy new technologies to curb carbon emissions from the aviation industry.
“Despite all the chaos in global geopolitics and climate policies these days, there are large and growing pools of capital willing to take risks on clean technology,” Victor said. “What’s been missing is a framework to guide that capital to the riskiest but most transformative investments.”
He added that investors and research managers tend to focus on familiar, lower-risk projects like next-generation jet engines or recycled-fuel pathways.
“But getting aviation and other hard-to-abate sectors to near-zero emissions means taking on bigger risks with technologies and new lines of business that will be highly disruptive to the existing industry. Investors and airlines need to find smarter ways to encourage and manage these disruptive investments,” Victor said.
In the article, Victor and co-authors call for a more realistic framework to guide both research funding and private investment.
They propose a tool called an Aviation Sustainability Index (ASI)—a quantitative method to assess how different technologies or investments could help decouple emissions from growth in air travel.
The approach is designed to help investors distinguish between projects that only modestly improve efficiency and those that could significantly transform the sector’s climate impact.
The authors note that while roughly $1 trillion is expected to flow into aviation over the next decade, most of that money will simply make aircraft slightly more efficient. Few investors, they argue, have clear incentives to back the kind of breakthrough technologies—such as hydrogen propulsion, advanced aircraft designs, or large-scale sustainable fuel systems—that could substantially reduce emissions.
“Cleaner flight is possible, but it requires changing how we think about both risk and return,” Victor said. “We need new institutions, incentives, and partnerships that reward innovation, not just incrementalism.”
The commentary, written by a multinational team of scholars, also highlights a broader lesson for climate policy: global decarbonization goals such as “net zero by 2050” sound bold and ambitious. But when it becomes clear that they can’t be met, these goals make it harder to focus on the practical steps needed today to drive change in real-world markets.
Ultimately, the paper argues for action that begins now. By developing better tools to evaluate climate-friendly investments and by rewarding companies willing to take calculated risks on breakthrough technologies, governments, investors and industry leaders can accelerate real progress toward decarbonization.
The paper was co-authored by Thomas Conlon of University College Dublin, Philipp Goedeking of Johannes Gutenberg University of Mainz (Germany) and Andreas W. Schäfer of University College London.
More information:
David G. Victor et al, Mobilizing capital and technology for a clean aviation industry, Science (2025). DOI: 10.1126/science.adu2458. www.science.org/doi/10.1126/science.adu2458
Citation:
Researchers chart path for investors to build a cleaner aviation industry (2025, October 16)
retrieved 16 October 2025
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Tech
Niantic’s Peridot, the Augmented Reality Alien Dog, Is Now a Talking Tour Guide

Imagine you’re walking your dog. It interacts with the world around you—sniffing some things, relieving itself on others. You walk down the Embarcadero in San Francisco on a bright sunny day, and you see the Ferry Building in the distance as you look out into the bay. Your dog turns to you, looks you in the eye, and says, “Did you know this waterfront was blocked by piers and a freeway for 100 years?”
OK now imagine your dog looks like an alien and only you can see it. That’s the vision for a new capability created for the Niantic Labs AR experience Peridot.
Niantic, also the developer of the worldwide AR behemoth Pokémon Go, hopes to build out its vision of extending the metaverse into the real world by giving people the means to augment the space around them with digital artifacts. Peridot is a mobile game that lets users customize and interact with their own little Dots—dog-sized digital companions that appear on your phone’s screen and can look like they’re interacting with the world objects in the view of your camera lens. They’re very cute, and yes, they look a lot like Pokémon. Now, they can talk.
Peridot started as a mobile game in 2022, then got infused with generative AI features. The game has since moved into the hands of Niantic Spatial, a startup created in April that aims to turn geospatial data into an accessible playground for its AR ambitions. Now called Peridot Beyond, it has been enabled in Snap’s Spectacles.
Hume AI, a startup running a large language model that aims to make chatbots seem more empathetic, is now partnering with Niantic Spatial to bring a voice to the Dots on Snap’s Spectacles. The move was initially announced in September, but now it’s ready for the public and will be demonstrated at Snap’s Lens Fest developer event this week.
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