The world's first flexible, transparent augmented reality (AR) display screen using 3D printing and low-cost materials has been created by researchers at the University of Melbourne, KDH Design Corporation and the Melbourne Centre for Nanofabrication (MCN). The development of the new display screen is set to advance how AR is... Read more
High-performance computing (HPC) has become an essential tool for processing large datasets and simulating nature's most complex systems. However, researchers face difficulties in developing more intensive models because Moore's Law—which states that computational power doubles every two years—is slowing, and memory bandwidth still cannot keep up with it. But scientists... Read more
Researchers have created atomically thin artificial neurons capable of processing both light and electric signals for computing. The material enables the simultaneous existence of separate feedforward and feedback paths within a neural network, boosting the ability to solve complex problems.... Read more
Researchers at the Technical University of Berlin say they uncovered a new vulnerability in AMD's Trusted Platform Module (TPM). The flaw exposes firmware TPMs, or fTPMs, to attack.... Read more
Neural networks are distributed computing structures inspired by the structure of a biological brain and aim to achieve cognitive performance comparable to that of humans but in a much shorter time.... Read more
Researchers have developed a new light-based computing scheme that uses a photonic integrated circuit to reduce the energy necessary for cryptocurrency and blockchain applications. Mining cryptocurrencies like Bitcoin—a process of verifying transactions and adding new cryptocurrency to the blockchain—consumes up to 1% of the world's energy. This energy expenditure is... Read more
Researchers from the College of Electronic Information and Optical Engineering at Nankai University have used flexible artificial synapse devices to develop a neuromorphic motion perception system that realizes the brain's multisensory functions at the hardware level and exhibits excellent motion perception performance.... Read more
Mass spectrometers are extremely precise chemical analyzers that have many applications, from evaluating the safety of drinking water to detecting toxins in a patient's blood. But building an inexpensive, portable mass spectrometer that could be deployed in remote locations remains a challenge, partly due to the difficulty of miniaturizing the... Read more
Researchers in Carnegie Mellon University's Robotics Institute (RI) have designed a system that makes an off-the-shelf quadruped robot nimble enough to walk a narrow balance beam—a feat that is likely the first of its kind.... Read more
Urban real-world environments have limited physical space for foot-based locomotion and present challenges to natural VR locomotion (since virtual environments are much larger than the corresponding real-world environment), a fact that has been noted in past studies (Mandal 2013; Pai and Kunze 2017).... Read more
Cornell University researchers have developed a silent-speech recognition interface that uses acoustic-sensing and artificial intelligence to continuously recognize up to 31 unvocalized commands, based on lip and mouth movements.... Read more
Whether drilling, turning or milling: In machining—as well as in primary forming and re-forming, die casting and many other applications—tools are of pivotal importance for industrial production. Their performance significantly influences both the quality and the cost of the manufactured product and, consequently, the economic and ecological sustainability of the... Read more
Say goodbye to games controllers or keyboards, say hello to highly flexible, ultrathin silicone films. Professor Stefan Seelecke and his team at Saarland University are currently developing a novel type of technology that allows humans and computers to communicate more naturally and more intuitively.... Read more
Imagine a movie about a rogue employee who breaches security in a company that implants chips inside half of the world's computers. They embed a Trojan in systems around the globe and hold the world to ransom.... Read more
The case for building Scalable Neuromorphic Networks is this: like humans, smarter chips have a larger, tighter neural network. Indeed, neural networks are the current state-of-the-art for machine learning. This isn't robotics, where a non-sentient arm follows explicit instructions. Instead, machine learning uses algorithms and statistical models to analyze and... Read more