Scientists from the University of Lisbon (Portugal) and the University of Stuttgart (Germany) have managed to synthesize and extensively characterize a series of cobalt molecules that exhibit the properties of molecular magnets, an encouraging result for the future of quantum-scale computing. The current demand for the exchange and manipulation of data through information technologies, caused by the massification of electronic devices, has led scientists to reflect about more efficient computation methods. Storing information in binary systems works by switching between…
A joint research group led by Genki Kanda at the RIKEN Center for Biosystems Dynamics Research (BDR) has developed a robotic artificial intelligence (AI) system for autonomously determining the optimal conditions for growing replacement retina layers necessary for vision. The AI controlled a trial and error process spanning 200 million possible conditions that succeeded in improving cell culture recipes used in regenerative medicine. This achievement, published in the scientific journal eLife on June 28, is just one example of how…
Breakthrough by Berkeley engineers could dramatically improve the efficiency of lasers for sensing, communication and imaging. Berkeley engineers have created a new type of semiconductor laser that accomplishes an elusive goal in the field of optics: the ability to maintain a single mode of emitted light while maintaining the ability to scale up in size and power. It is an achievement that means size does not have to come at the expense of coherence, enabling lasers to be more powerful…
The work has been accepted at “SIGGRAPH”, the most important conference on computer graphics and interactive techniques. “LeviPrint” is a system that uses acoustic manipulation for assembling objects without physical contact. We generate acoustic fields that trap small particles, glue droplets and, most importantly, elongated stick-like elements that can be manipulated and reoriented as we levitate them. In short, it is a fully functional system for manufacturing 3D structures using contactless manipulation.” This is how it was explained by researchers…
A new GPU-based machine learning algorithm developed by researchers at the Indian Institute of Science (IISc) can help scientists better understand and predict connectivity between different regions of the brain. The algorithm, called Regularized, Accelerated, Linear Fascicle Evaluation, or ReAl-LiFE, can rapidly analyse the enormous amounts of data generated from diffusion Magnetic Resonance Imaging (dMRI) scans of the human brain. Using ReAL-LiFE, the team was able to evaluate dMRI data over 150 times faster than existing state-of-the-art algorithms. “Tasks that…
… will aim to think and act for themselves in the most hazardous places on Earth – and beyond. Manchester experts are combining expertise in “hot-robotics” and AI to make a new generation of robots to work in harsh hotspots. A new generation of smart robots is being developed at The University of Manchester as part of an ambitious R&D programme to help the UK maintain its leadership in automatation technologies, These new AI-powered machines will be designed to think…
Glass-free technique could enable visual features that don’t require special reading devices or illumination. Researchers have developed a new ultra-thin film that can create detailed 3D images viewable under normal illumination without any special reading devices. The images appear to float on top of the film and exhibit smooth parallax, which means they can be clearly viewed from all angles. With additional development, the new glass-free approach could be used as a visual security feature or incorporated into virtual or…
The first report of room temperature ferroelectricity in bulk hafnia could extend Moore’s Law for data storage. The Science Ferroelectric materials are substances with spontaneous electrical polarization. Polarization refers to the separation of the negative and positive charges within a material. For ferroelectric materials, this means the “memory” of the material’s prior state (referred to as hysteresis) can store information in a way similar to magnetic storage devices such as hard disks. Ferroelectric materials based on the element hafnium show…
… through automation & robotics from Fraunhofer IFAM in Stade. From efficiency-enhancing flow-line manufacturing for large CFRP components over automated rudder fork assembly in aircraft vertical tails and automated pre-assembly of thermoplastic CFRP integral frames to assembly technologies for a promising lighter Clean Sky 2 aircraft fuselage of the future made of thermoplastic fiber-reinforced composites (FRP). ILA 2022 l Hall 4 l Booth 350 – The Automation and Production Technology experts from the Fraunhofer Institute for Manufacturing Technology and Advanced…
Osaka Metropolitan University researchers observed unprecedented collective resonance motion in chiral helimagnets that allow a boost in current frequency bands. When will 6G be a reality? The race to realize sixth generation (6G) wireless communication systems requires the development of suitable magnetic materials. Scientists from Osaka Metropolitan University and their colleagues detected an unprecedented collective resonance at high frequencies in a magnetic superstructure called a chiral spin soliton lattice (CSL), revealing CSL-hosting chiral helimagnets as a promising material for 6G…
New microelectronics device can program and reprogram computer hardware on demand through electrical pulses. What if computers could learn to reconfigure their circuits when presented with new information? A multi-institutional team, including the U.S. Department of Energy’s (DOE) Argonne National Laboratory, has developed a material with which computer chips can be designed to do just that. It does so by mimicking functions in the human brain with so-called “neuromorphic” circuits and computer architecture. The team was led by Shriram Ramanathan, a…
Inspired by fireflies, researchers create insect-scale robots that can emit light when they fly, which enables motion tracking and communication. Fireflies that light up dusky backyards on warm summer evenings use their luminescence for communication — to attract a mate, ward off predators, or lure prey. These glimmering bugs also sparked the inspiration of scientists at MIT. Taking a cue from nature, they built electroluminescent soft artificial muscles for flying, insect-scale robots. The tiny artificial muscles that control the robots’…
Giant arsenals of unexploded ordinance are sitting on the ocean floor, lost in battle or dumped as waste. The risky job of detecting these underwater hazards is currently given to submarines specially fitted for the purpose. But even they cannot get to some of the tighter or harder to reach spots, forcing expert divers to go down and take over the often life-threatening work. A German research consortium including Fraunhofer IZM is now using a submarine robot that is as…
Boosting light power revolutionizes communications and autopilots. Erbium-doped fiber amplifiers (EDFAs) are devices that can provide gain to the optical signal power in optical fibers, often used in long-distance communication fiber optic cables and fiber-based lasers. Invented in the 1980s, EDFAs are arguably one of the most important inventions, and have profoundly impacted our information society enabling signals to be routed across the Atlantic and replacing electrical repeaters. What is interesting about erbium ions in optical communications is that they…
EuroHPC JU, the European High Performance Computing Joint Undertaking, has selected Forschungszentrum Jülich – a partner in Germany’s Gauss Centre for Supercomputing – to operate the first next-generation European supercomputer. The computer, which will bear the name JUPITER (short for “Joint Undertaking Pioneer for Innovative and Transformative Exascale Research”), will be installed as of 2023 in a specially designed building on the campus of Forschungszentrum Jülich. It is intended that the system will be operated by the Jülich Supercomputing Centre…
Collaborative research published in Nature Electronics shows promise of probabilistic computers. The rise of artificial intelligence (AI) and machine learning (ML) has created a crisis in computing and a significant need for more hardware that is both energy-efficient and scalable. A key step in both AI and ML is making decisions based on incomplete data, the best approach for which is to output a probability for each possible answer. Current classical computers are not able to do that in an…
Feedback
