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Categories: Computer Science: Encryption, Offbeat: Computers and Math

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Sensing a hug from each other via the internet may be a possibility in the near future. A research team recently developed a wireless, soft e-skin that can both detect and deliver the sense of touch, and form a touch network allowing one-to-multiuser interaction. It offers great potential for enhancing the immersion of distance touch communication.

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Researchers have demonstrated a new hands-free approach to convey realistic haptic feedback in virtual reality (VR). Their 'multisensory pseudo-haptics' uses a combination of headset visuals and tactile feedback from a wrist bracelet to convey sensations of touch.

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Researchers have demonstrated a switch, analogous to a transistor, made from a single molecule called fullerene. By using a carefully tuned laser pulse, the researchers are able to use fullerene to switch the path of an incoming electron in a predictable way. This switching process can be three to six orders of magnitude faster than switches in microchips, depending on the laser pulses used. Fullerene switches in a network could produce a computer beyond what is possible with electronic transistors, and they could also lead to unprecedented levels of resolution in microscopic imaging devices.

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In a new approach to security that unites technology and art, E researchers have combined silver nanostructures with polarized light to yield a range of brilliant colors, which can be used to encode messages.

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New artificial intelligence technology being developed by engineers could significantly cut down on the time and cost that goes into film study for Super Bowl-bound teams (and all NFL and college football teams), while also enhancing game strategy by harnessing the power of big data.

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Researchers have demonstrated that quantum bits (qubits) can directly transfer between quantum computer microchips and demonstrated this with record-breaking connection speed and accuracy. This breakthrough resolves a major challenge in building quantum computers large and powerful enough to tackle complex problems that are of critical importance to society.

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A synthetic biosensor that mimics properties found in cell membranes and provides an electronic readout of activity could lead to a better understanding of cell biology, development of new drugs, and the creation of sensory organs on a chip capable of detecting chemicals, similar to how noses and tongues work.

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FRIDA, a robotic arm with a paintbrush taped to it, uses artificial intelligence to collaborate with humans on works of art. Ask FRIDA to paint a picture, and it gets to work putting brush to canvas. The robot uses AI models similar to those powering tools like OpenAI's ChatGPT and DALL-E 2, which generate text or an image, respectively, in response to a prompt. FRIDA simulates how it would paint an image with brush strokes and uses machine learning to evaluate its progress as it works. FRIDA's final products are impressionistic and whimsical. The brushstrokes are bold. They lack the precision sought so often in robotic endeavors. If FRIDA makes a mistake, it riffs on it, incorporating the errant splotch of paint into the end result.

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Can a pigeon match wits with artificial intelligence? Researchers tested pigeons' learning abilities and concluded the birds employ the same basic process, called associative learning, as the most advanced AI technologies.

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Researchers developed a new approach to building deformable underwater robots, using simple repeating substructures. The team demonstrated the new system in two different example configurations, one like an eel and the other a wing-like hydrofoil.

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Performing human-like motions that involve multiple contacts is challenging for robots. In this regard, a researcher has envisioned an interactive cyber-physical human (iCPH) platform with complementary humanoid (physical twin) and simulation (digital twin) elements. iCPH combines human measurement data, musculoskeletal analysis, and machine learning for data collection and augmentation. As a result, iCPH can understand, predict, and synthesize whole-body contact motions.

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Trapped ions have previously only been entangled in one and the same laboratory. Now, teams have entangled two ions over a distance of 230 meters. The nodes of this network were housed in two labs at the Campus Technik to the west of Innsbruck, Austria. The experiment shows that trapped ions are a promising platform for future quantum networks that span cities and eventually continents.

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When it comes to the 'evolution' of mobile robots, it may be a long time before legged robots are able to safely interact in the real world, according to a new study.

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Researchers have developed an automated driving system based on the concept of 'collaborative steering', which aims to increase transportation safety, efficiency, and comfort by encouraging active interaction between autonomous vehicles and their human drivers.

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Researchers have applied a deep learning technique to a previously studied dataset of nearby stars and uncovered eight previously unidentified signals of interest.

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Researchers have combined low-power chip design, machine learning algorithms, and soft implantable electrodes to produce a neural interface that can identify and suppress symptoms of various neurological disorders.

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The loss of pollinators, such as bees, is a huge challenge for global biodiversity and affects humanity by causing problems in food production. Researchers have now developed the first passively flying robot equipped with artificial muscle. Could this artificial fairy be utilized in pollination?

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In the global push for practical quantum networks and quantum computers, an international team of researchers has demonstrated a leap in preserving the quantum coherence of quantum dot spin qubits.

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In a new breakthrough, researchers have solved a problem that has caused quantum researchers headaches for years. The researchers can now control two quantum light sources rather than one. Trivial as it may seem to those uninitiated in quantum, this colossal breakthrough allows researchers to create a phenomenon known as quantum mechanical entanglement. This in turn, opens new doors for companies and others to exploit the technology commercially.

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Quasiparticles -- long-lived particle-like excitations -- are a cornerstone of quantum physics, with famous examples such as Cooper pairs in superconductivity and, recently, Dirac quasiparticles in graphene. Now, researchers have discovered quasiparticles in a classical system at room temperature: a two-dimensional crystal of particles driven by viscous flow in a microfluidic channel. Coupled by hydrodynamic forces, the particles form stable pairs -- a first example of classical quasiparticles, revealing deep links between quantum and classical dissipative systems.