Like fingerprints, no 3D printer is exactly the same. That's the takeaway from a new University at Buffalo-led study that describes what's believed to be the first accurate method for tracing a 3D-printed object to the machine it came from. The advancement could help law enforcement and intelligence agencies track the origin of 3D-printed guns, counterfeit products and other goods.
In novel concepts of magnetic data storage, it is intended to send small magnetic bits back and forth in a chip structure, store them densely packed and read them out later. The magnetic stray field generates problems when trying to generate particularly tiny bits. Now, researchers were able to put an 'invisibility cloak' over the magnetic structures. In this fashion, the magnetic stray field can be reduced in a fashion allowing for small yet mobile bits.
The more attractive the image and design of the telephone, the stronger the emotional relationship that consumers are going to have with the product, which is a clear influence on their purchasing decision. After analysing the data collected, the experts indicated that technical characteristics and functionality are the next factors to influence the purchase of smartphones.
Based on an analysis of data leakages and opportunities to prevent the potential misuse of genetic information, researchers have developed a new file format for functional genomics data that enables data sharing while protecting the personal information of research participants. The findings were presented at the American Society of Human Genetics (ASHG) 2018 Annual Meeting in San Diego, Calif.
The environmental costs of smartphones are often exacerbated by the relatively short lifespans of these globally ubiquitous devices. When it comes to extending the lifespan of these products, brand name might be more important than repairability, a Yale-led study finds.
Hardware that mimics the neural circuitry of the brain requires building blocks that can adjust how they synapse. One such approach, called memristors, uses current resistance to store this information. New work looks to overcome reliability issues in these devices by scaling memristors to the atomic level. Researchers demonstrated a new type of compound synapse that can achieve synaptic weight programming and conduct vector-matrix multiplication with significant advances over the current state of the art.
A group of researchers in Canada reports the construction of the first reservoir computing device built with a microelectromechanical system. Published in the Journal of Applied Physics, the neural network exploits the nonlinear dynamics of a microscale silicon beam to perform its calculations. The group's work looks to create devices that can act simultaneously as a sensor and a computer using a fraction of the energy a normal computer would use.
Targeting applications like neural networks for machine learning, a new discovery is paving the way for atomic ultra-efficient electronics, the need for which is increasingly critical in our data-driven society. The key to unlocking untold potential for the greenest electronics? Creating bespoke atomic patterns to in turn control electrons.
Scientists from EPFL and ETH Zurich have developed an ultra-light glove -- weighing less than 8 grams per finger- that enables users to feel and manipulate virtual objects. Their system provides extremely realistic haptic feedback and could run on a battery, allowing for unparalleled freedom of movement.
A NIMS research group has invented an ionic device, termed as ionic decision-maker, capable of quickly making its own decisions based on previous experience using changes in ionic/molecular concentrations. The group then succeeded in demonstrating its operation. This device is capable of making decisions while efficiently adapting to changing situations by a means unrelated to the storage of past experiences in computer memory or to the performance of decision-making computations.