In response to serious new security flaws found in almost every computer chip on the market today, researchers at Technische Universität Kaiserslautern, Germany, in collaboration with scientists at Stanford, have developed a mathematical algorithm to automate and expedite the process of finding flaws in future designs prior to production.
Physicists at EPFL propose a new 'quantum simulator': a laser-based device that can be used to study a wide range of quantum systems. Studying it, the researchers have found that photons can behave like magnetic dipoles at temperatures close to absolute zero, following the laws of quantum mechanics. The simple simulator can be used to better understand the properties of complex materials under such extreme conditions.
Excluding the information recording and reading technology, in the next 15-20 years, the hypersensitive sensors operating under the magnetoresistive principle will be applied in an extensive number of innovative areas. Among them are biomedicine, flexible electronics, position sensors, and human-computer interaction, various types of monitoring, navigation and autonomous transport. An article about this was published in the industry journal IEEE Transactions on Magnetics.
Researchers at the University of Luxembourg are part of an international team that has proposed the first blockchain system to guarantee proper performance even when more than 51 percent of the system's computing power is controlled by an attacker.
University of Pennsylvania Engineers have designed a metamaterial device that can solve integral equations. The device works by encoding parameters into the properties of an incoming electromagnetic wave; once inside, the device's unique structure manipulates the wave in such a way that it exits encoded with the solution to a pre-set integral equation for that arbitrary input.
In a paper presented at the 2018 Conference on Neural Information Processing Systems (NeurIPS), researchers from The University of Texas at Austin described the results of experiments that used artificial neural networks to predict with greater accuracy than ever before how different areas in the brain respond to specific words. The work employed a type of recurrent neural network called long short-term memory (LSTM) that includes in its calculations the relationships of each word to what came before to better preserve context.
Taking a cue from biological cells, researchers from MIT, Columbia University, and elsewhere have developed computationally simple robots that connect in large groups to move around, transport objects, and complete other tasks.
A new computer program that spots when information in a quantum computer is escaping to unwanted states will give users of this promising technology the ability to check its reliability without any technical knowledge for the first time.
Transistors have been miniaturized for the past 50 years, but we've reached the point where they can't continue to be scaled any further. In Applied Physics Letters, researchers review negative capacitance field-effect transistors, a new device concept that suggests traditional transistors can be made much more efficient by simply adding a thin layer of ferroelectric material. If it works, the same chip could compute far more, yet require less frequent charging of its battery.
Researchers at the University of Washington have developed a robotic system that can feed people who need someone to help them eat.