|Artificial skin creates first ticklish devices|
A new interface takes touch technology to the next level by providing an artificial skin-like membrane for augmenting interactive devices such as phones, wearables or computers.
|New haptic arm places robotics within easy reach|
Imagine being able to build and use a robotic device without the need for expensive, specialist kit or skills. That is the vision that researchers have now turned into reality, creating a lightweight, affordable and simple solution for everyday users.
|Deep learning method transforms shapes|
Called LOGAN, the deep neural network, i.e., a machine of sorts, can learn to transform the shapes of two different objects, for example, a chair and a table, in a natural way, without seeing any paired transforms between the shapes.
|Big data technique reveals previously unknown capabilities of common materials|
Researchers have found a new way to optimize nickel by unlocking properties that could enable numerous applications, from biosensors to quantum computing.
|Blanket of light may give better quantum computers|
Researchers describe how -- by simple means -- they have created a 'carpet' of thousands of quantum-mechanically entangled light pulses. The discovery has the potential to pave the way for more powerful quantum computers.
|Bio-circuitry mimics synapses and neurons in a step toward sensory computing|
Researchers have demonstrated bio-inspired devices that accelerate routes to neuromorphic, or brain-like, computing. Their discovery could support the emergence of computing networks modeled on biology for a sensory approach to machine learning.
|New augmented reality system lets smartphone users get hands-on with virtual objects|
A new augmented reality system places virtual objects within real-world backgrounds on cell phone screens and lets people interact with those object by hand as if they were really there.
|Recovering 'lost dimensions' of images and video|
Researchers have developed a model that recovers valuable data lost from images and video that have been 'collapsed' into lower dimensions.
|Do we trust artificial intelligence agents to mediate conflict? Not entirely|
We may listen to facts from Siri or Alexa, or directions from Google Maps or Waze, but would we let a virtual agent enabled by artificial intelligence help mediate conflict among team members? A new study says not just yet.
|Diversity may be key to reducing errors in quantum computing|
In quantum computing, as in team building, a little diversity can help get the job done better, computer scientists have discovered.
|Controlling superconducting regions within an exotic metal|
Researchers have created a metallic microdevice in which they can define and tune patterns of superconductivity. Their discovery holds great promise for quantum technologies of the future.
|Engineers solve 50-year-old puzzle in signal processing|
Engineers have solved a 50-year-old puzzle in signal processing. They've formulated the 'inverse chirp z-transform,' an algorithm related to one that's running on your cell phone right now. It took some computing power and some math expertise to do it.
|New material could someday power quantum computer|
Quantum computers with the ability to perform complex calculations, encrypt data more securely and more quickly predict the spread of viruses, may be within closer reach thanks to a new discovery.
|Physicists couple key components of quantum technologies|
Researchers are engaged in intensive work on the components of quantum technologies - these include circuits processing information using single photons instead of electricity, as well as light sources producing such quanta of light. Coupling these components to produce integrated quantum optical circuits on chips presents a challenge. Researchers have developed an interface that couples light sources for single photons with nanophotonic networks consisting of photonic crystals which can be replicated by using established nanofabrication processes.
|Deep3DFly: The deep-learning way to design fly-like robots|
Scientists have developed a deep-learning based motion-capture software that uses multiple camera views to model the movements of a fly in three dimensions. The ultimate aim is to use this knowledge to design fly-like robots.