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
This Jammer Wants to Block Always-Listening AI Wearables. It Probably Won’t Work
Deveillance also claims the Spectre can find nearby microphones by detecting radio frequencies (RF), but critics say finding a microphone via RF emissions is not effective unless the sensor is immediately beside it.
“If you could detect and recognize components via RF the way Spectre claims to, it would literally be transformative to technology,” Jordan wrote in a text to WIRED after he built a device to test detecting RF signatures in microphones. “You’d be able to do radio astronomy in Manhattan.”
Deveillance is also looking at ways to integrate nonlinear junction detection (NLJD), a very high-frequency radio signal used by security professionals to find hidden mics and bugs. NLJD detectors are expensive and used primarily in professional contexts like military operations.
Even if a device could detect a microphone’s exact location, objects around a room can change how the frequencies spread and interact. The emitted frequencies could also be a problem. There haven’t been adequate studies to show what effects ultrasonic frequencies have on the human ear, but some people and many pets can hear them and find them obnoxious or even painful. Baradari acknowledges that her team needs to do more testing to see how pets are affected.
“They simply cannot do this,” engineer and YouTuber Dave Jones (who runs the channel EEVblog) wrote in an email to WIRED. “They are using the classic trick of using wording to imply that it will detect every type of microphone, when all they are probably doing is scanning for Bluetooth audio devices. It’s totally lame.” Baradari reiterates that the Spectre uses a combination of RF and Bluetooth low energy to detect microphones.
WIRED asked Baradari to share any evidence of the Spectre’s effectiveness at identifying and blocking microphones in a person’s vicinity. Baradari shared a few short videoclips of people putting their phones to their ears listening to audioclips—which were presumably jammed by the Spectre—but these videos do little to prove that the device works.
Future Imperfect
Baradari has taken the critiques in stride, acknowledging that the tech is still in development. “I actually appreciate those comments, because they’re making me think and see more things as well,” Baradari says. “I do believe that with the ideas that we’re having and integrating into one device, these concerns can be addressed.”
People were quick to poke fun at the Spectre I online, calling the technology the cone of silence from Dune. Now, the Deveillance website reads, “Our goal is to make the cone of silence become reality.”
John Scott-Railton, a cybersecurity researcher at Citizen Lab, who is critical of the Spectre I, lauded the device’s virality as an indication of the real hunger for these kinds of gadgets to win back our privacy.
“The silver lining of this blowing up is that it is a Ring-like moment that highlights how quickly and intensely consumer attitudes have shifted around pervasive recording devices,” says Scott-Railton. “We need to be building products that do all the cool things that people want but that don’t have the massive privacy- and consent-violation undertow. You need device-level controls, and you need regulations of the companies that are doing this.”
Cooper Quintin, a senior staff technologist at the Electronic Frontier Foundation, echoed those sentiments, even if critics believe Deveillance’s efforts to be flawed.
“If this technology works, it could be a boon for many,” Quintin wrote in an email to WIRED. “It is nice to see a company creating something to protect privacy instead of working on new and creative ways to extract data from us.”
Tech
I’ve Tried Every Pixel Phone Ever Made—Here Are the Best to Buy Right Now
Portrait Light: You can change up the lighting in your portrait selfies after you take them by opening them up in Google Photos, tapping the Edit button, and heading to Actions > Portrait Light. This adds an artificial light you can place anywhere in the photo to brighten up your face and erase that 5 o’clock shadow. Use the slider at the bottom to tweak the strength of the light. It also works on older Portrait mode photos you may have captured. It works only on faces.
Health and Accessibility Features
Cough & Snore Detection (Tensor G2 and newer): On the Pixel 7 and newer, you can have your Pixel detect if you cough and snore when sleeping, provided you place your Pixel near your bed before you nod off. This will work only if you use Google’s Bedtime mode function, which you can turn on by heading to Settings > Digital Wellbeing & Parental Controls > Bedtime Mode.
Guided Frame (Tensor G2 and newer): For blind or low-vision people, the camera app can now help take a selfie with audio cues (it works with the front and rear cameras). You’ll need to enable TalkBack for this to work (Settings > Accessibility > TalkBack). Then open the camera app. It will automatically help you frame the shot.
Simple View: This mode makes the font size bigger, along with other elements on the screen, like widgets and quick-settings tiles. It also increases touch sensitivity, all of which hopefully makes it easier to see and use the screen. You can enable it by heading to Settings > Accessibility > Simple View.
Safety and Security Features
Theft Protection: This is a broader Android 15 feature, but essentially, Google’s algorithms can figure out if someone snatches your Pixel out of your hands. If they’re trying to get away, the device automatically locks. Additionally, with another device, you can use Remote Lock to lock your stolen Pixel with your phone number and a security answer. To toggle these features on, go to Settings > Security & privacy > Device unlock > Theft protection.
Identity Check: If your Pixel detects you’re in a new location, Identity Check will require your fingerprint or face authentication before you can make any changes to sensitive settings, offering extra peace of mind in case you lose your phone or if it’s stolen. You can enable this in Settings > Security & privacy > Device unlock > Theft protection > Identity Check.
Courtesy of Google
Private Space: Another Android 15 addition, Pixel phones finally have a feature that lets you hide and lock select apps. You can use a separate Google account, set a lock, and install any app to hide away. To set it all up, head to Settings > Security & privacy > Private space.
Satellite eSOS (Pixel 9 and Pixel 10 series, excluding Pixel 9a): Like Apple’s SOS feature on iPhones, you can now reach emergency contacts or emergency services even when you don’t have cell service or Wi-Fi connectivity. It’s not just available in the continental US, but also in Hawaii, Alaska, Canada, and even Europe.
Tech
I’ve Tried Every Pixel Phone Ever Made—Here Are the Best to Buy Right Now
Portrait Light: You can change up the lighting in your portrait selfies after you take them by opening them up in Google Photos, tapping the Edit button, and heading to Actions > Portrait Light. This adds an artificial light you can place anywhere in the photo to brighten up your face and erase that 5 o’clock shadow. Use the slider at the bottom to tweak the strength of the light. It also works on older Portrait mode photos you may have captured. It works only on faces.
Health and Accessibility Features
Cough & Snore Detection (Tensor G2 and newer): On the Pixel 7 and newer, you can have your Pixel detect if you cough and snore when sleeping, provided you place your Pixel near your bed before you nod off. This will work only if you use Google’s Bedtime mode function, which you can turn on by heading to Settings > Digital Wellbeing & Parental Controls > Bedtime Mode.
Guided Frame (Tensor G2 and newer): For blind or low-vision people, the camera app can now help take a selfie with audio cues (it works with the front and rear cameras). You’ll need to enable TalkBack for this to work (Settings > Accessibility > TalkBack). Then open the camera app. It will automatically help you frame the shot.
Simple View: This mode makes the font size bigger, along with other elements on the screen, like widgets and quick-settings tiles. It also increases touch sensitivity, all of which hopefully makes it easier to see and use the screen. You can enable it by heading to Settings > Accessibility > Simple View.
Safety and Security Features
Theft Protection: This is a broader Android 15 feature, but essentially, Google’s algorithms can figure out if someone snatches your Pixel out of your hands. If they’re trying to get away, the device automatically locks. Additionally, with another device, you can use Remote Lock to lock your stolen Pixel with your phone number and a security answer. To toggle these features on, go to Settings > Security & privacy > Device unlock > Theft protection.
Identity Check: If your Pixel detects you’re in a new location, Identity Check will require your fingerprint or face authentication before you can make any changes to sensitive settings, offering extra peace of mind in case you lose your phone or if it’s stolen. You can enable this in Settings > Security & privacy > Device unlock > Theft protection > Identity Check.
Courtesy of Google
Private Space: Another Android 15 addition, Pixel phones finally have a feature that lets you hide and lock select apps. You can use a separate Google account, set a lock, and install any app to hide away. To set it all up, head to Settings > Security & privacy > Private space.
Satellite eSOS (Pixel 9 and Pixel 10 series, excluding Pixel 9a): Like Apple’s SOS feature on iPhones, you can now reach emergency contacts or emergency services even when you don’t have cell service or Wi-Fi connectivity. It’s not just available in the continental US, but also in Hawaii, Alaska, Canada, and even Europe.
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