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How a fabric patch uses static electricity in your clothes to let you chat with AI and control smart devices

There could soon be a new way to interact with your favorite AI chatbots—through the clothing you wear. An international team of researchers has developed a voice-sensing fabric called A-Textile. This flexible patch of smart material turns everyday garments into a kind of microphone, allowing you to speak commands directly to what you’re wearing. This lets you communicate with AI systems such as ChatGPT or smart home devices.

Wearable devices that sense and interact with the world around us have long been the stuff of science fiction dreams. However, traditional sensors currently in use are often bulky, rigid and uncomfortable. They also lack sensitivity, meaning they struggle to hear soft or normal speaking voices, making it hard for AI to understand commands.

The researchers addressed this issue by exploring triboelectricity, the principle behind static electricity. A-Textile is a multi-layered fabric, and as you move the layers, they rub together to create a tiny electrostatic charge on the fabric. When you speak, the cause the charged layers to vibrate slightly, generating an that represents your voice. To boost the signal, the team embedded flower-shaped nanoparticles into the fabric to help capture the charge and prevent it from dissipating. This ensures it is clear enough to be recognized by AI.

Deep blue organic light-emitting diode operates at just 1.5 V

A deep blue organic light-emitting diode (OLED) developed by researchers at Science Tokyo operates on just a single 1.5 V, overcoming the high-voltage and color-purity problems that have long limited blue OLEDs. The breakthrough was achieved by introducing a new molecular dopant that prevents charge trapping, a problem that previously hampered the performance of low-voltage OLEDs. The resulting device produces sharp blue emissions that meet BT.2020 standards, paving the way towards brighter, more energy-efficient displays.

Organic light-emitting diodes (OLEDs) are widely used in large-screen televisions and smartphone displays. Yet, among the three primary colors needed for full-color technology—red, green, and blue—the blue emitters remain the most challenging. They demand higher energy, often requiring driving voltages above 3 V, and suffer from limited long-term stability.

Now, the research team led by Associate Professor Seiichiro Izawa of the Materials and Structures Laboratory at Institute of Science Tokyo (Science Tokyo), Japan, has achieved a breakthrough in the field of OLEDs. The research team also included Professor Yutaka Majima, doctoral students Qing-jun Shui and Hiroto Iwasaki, and Master’s student Daiki Nakahigashi, all from the Frontier Materials Research Institute, Science Tokyo. They developed a deep blue OLED capable of being powered by just a single 1.5 V battery.

Researchers achieve atomic-scale control of quantum interference

In a study published in Nature Communications, a research team demonstrates the all-electrical control of quantum interference in individual atomic spins on a surface.

Quantum interference arises when a system exists in a superposition of states, with relative phases producing constructive or . An example is Landau-Zener-Stückelberg-Majorana (LZSM) interference, which arises when a quantum two-level system is repeatedly driven through an anticrossing in the energy-level diagram, and undergoes multiple nonadiabatic transitions.

This mechanism is a powerful tool for fast and reliable quantum control, but it remains a significant challenge to achieve tunable LZSM interference in an atomic-scale quantum architecture where multiple spins can be precisely assembled and controllably coupled on demand.

Quantum crystals offer a blueprint for the future of computing and chemistry

Imagine industrial processes that make materials or chemical compounds faster, cheaper, and with fewer steps than ever before. Imagine processing information in your laptop in seconds instead of minutes or a supercomputer that learns and adapts as efficiently as the human brain. These possibilities all hinge on the same thing: how electrons interact in matter.

A team of Auburn University scientists has now designed a new class of materials that gives scientists unprecedented control over these tiny particles. Their study, published in ACS Materials Letters, introduces the tunable coupling between isolated-metal molecular complexes, known as solvated electron precursors, where electrons aren’t locked to atoms but instead float freely in open spaces.

From their key role in energy transfer, bonding, and conductivity, electrons are the lifeblood of chemical synthesis and modern technology. In , electrons drive redox reactions, enable bond formation, and are critical in catalysis. In technological applications, manipulating the flow and interactions between electrons determines the operation of electronic devices, AI algorithms, photovoltaic applications, and even . In most materials, electrons are bound tightly to atoms, which limits how they can be used. But in electrides, electrons roam freely, creating entirely new possibilities.

The Human Mind Isn’t Meant to Be Awake Past Midnight, Scientists Warn

In the middle of the night, the world can sometimes feel like a dark place. Under the cover of darkness, negative thoughts have a way of drifting through your mind, and as you lie awake, staring at the ceiling, you might start craving guilty pleasures, like a cigarette or a carb-heavy meal.

Plenty of evidence suggests the human mind functions differently if awake at nighttime. Past midnight, negative emotions tend to draw our attention more than positive ones, dangerous ideas grow in appeal, and inhibitions fall away.

Some researchers think the human circadian rhythm is heavily involved in these critical changes in function, as they outline in a 2022 paper summarizing the evidence of how brain systems function differently after dark.

Chinese Hackers Exploit ArcGIS Server as Backdoor for Over a Year

“This attack highlights not just the creativity and sophistication of attackers but also the danger of trusted system functionality being weaponized to evade traditional detection,” the researchers noted. “It’s not just about spotting malicious activity; it’s about recognizing how legitimate tools and processes can be manipulated and turned against you.”

ReliaQuest told The Hacker News it cannot share any further details regarding when the attack commenced other than noting that the attackers had access to the system for over a year.

“The threat actor likely resorted to this method over an N-day flaw for a simple reason: why use an exploit if they didn’t have to?,” it pointed out. “They likely gained initial access through a weak administrator password and then repurposed a software component into a backdoor.”

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