/ en-us Â鶹ÒùÔº internet news portal provides the latest news on science including: Â鶹ÒùÔºics, Nanotechnology, Life Sciences, Space Science, Earth Science, Environment, Health and Medicine. Researchers at the University of Gothenburg have developed a novel Ising machine that utilizes surface acoustic waves as an effective carrier of dense information flow. This approach enables fast, energy-efficient solutions to complex optimization problems, offering a promising alternative to conventional computing methods based on von-Neumann architecture. The findings are published in the journal Communications Â鶹ÒùÔºics. /news/2025-03-acoustic-ising-machine-tackles-hard.html Condensed Matter Mon, 17 Mar 2025 13:09:05 EDT news661435741 In our data-driven era, solving complex problems efficiently is crucial. However, traditional computers often struggle with this task when dealing with a large number of interacting variables, leading to inefficiencies such as the von Neumann bottleneck. A new type of collective state computing has emerged to address this issue by mapping these optimization problems onto something called the Ising problem in magnetism. /news/2024-02-array-vcsels-optical-feedback.html Optics & Photonics Fri, 23 Feb 2024 13:43:31 EST news627918205 Like electronics or photonics, magnonics is an engineering subfield that aims to advance information technologies when it comes to speed, device architecture, and energy consumption. A magnon corresponds to the specific amount of energy required to change the magnetization of a material via a collective excitation called a spin wave. /news/2023-03-magnon-based-paradigm-shift.html Nanophysics Nanomaterials Wed, 29 Mar 2023 11:22:18 EDT news599307733 Sunlight sparkling on water evokes the rich phenomena of liquid-light interaction, spanning spatial and temporal scales. While the dynamics of liquids have fascinated researchers for decades, the rise of neuromorphic computing has sparked significant efforts to develop new, unconventional computational schemes based on recurrent neural networks, crucial to supporting wide range of modern technological applications, such as pattern recognition and autonomous driving. As biological neurons also rely on a liquid environment, a convergence may be attained by bringing nanoscale nonlinear fluid dynamics to neuromorphic computing. /news/2022-07-neuromorphic-optically-driven-nonlinear-fluid.html Optics & Photonics Mon, 25 Jul 2022 15:00:05 EDT news577978901 In a discovery published in the journal Nature, an international team of researchers has described a novel molecular device with exceptional computing prowess. /news/2021-09-molecular-device-unprecedented-reconfigurability-reminiscent.html General Â鶹ÒùÔºics Wed, 01 Sep 2021 16:43:54 EDT news549733429 Multifunctional and diverse artificial neural systems can incorporate multimodal plasticity, memory and supervised learning functions to assist neuromorphic computation. In a new report, Jinran Yu and a research team in nanoenergy, nanoscience and materials science in China and the US., presented a bioinspired mechano-photonic artificial synapse with synergistic mechanical and optical plasticity. The team used an optoelectronic transistor made of graphene/molybdenum disulphide (MoS2) heterostructure and an integrated triboelectric nanogenerator to compose the artificial synapse. They controlled the charge transfer/exchange in the heterostructure with triboelectric potential and modulated the optoelectronic synapse behaviors readily, including postsynaptic photocurrents, photosensitivity and photoconductivity. The mechano-photonic artificial synapse is a promising implementation to mimic the complex biological nervous system and promote the development of interactive artificial intelligence. The work is now published on Science Advances. /news/2021-03-bio-inspired-mechano-photonic-artificial-synapse.html General Â鶹ÒùÔºics Condensed Matter Fri, 26 Mar 2021 12:22:24 EDT news535980140 Scientists have given a fascinating new insight into the next steps to develop fast, energy-efficient, future computing systems that use light instead of electrons to process and store information—incorporating hardware inspired directly by the functioning of the human brain. /news/2021-01-photonics-artificial-intelligence-neuromorphic.html Optics & Photonics Fri, 29 Jan 2021 12:43:59 EST news531146635 Scalable nanoparticle-based computing architectures have several limitations that can severely compromise the use of nanoparticles to manipulate and process information through molecular computing schemes. The von Neumann architecture (VNA) underlies the operations of multiple arbitrary molecular logic operations in a single chip without rewiring the device. In a new report, Sungi Kim and a team of scientists at the Seoul National University in South Korea developed the nanoparticle-based VNA (NVNA) on a lipid chip. The nanoparticles on the lipid chip functioned as the hardware—featuring memories, processors and output units. The team used DNA strands as the software to provide molecular instructions to program the logic circuits. The nanoparticle-based von Neuman architecture (NVNA) allowed a group of nanoparticles to form a feed-forward neural network known as a perceptron (a type of artificial neural network). The system can implement functionally complete Boolean logical operations to provide a programmable, resettable and scalable computing architecture and circuit board to form nanoparticle neural networks and make logical decisions. The work is now published on Science Advances. /news/2020-09-nanoparticle-based-architecture-nanoparticle-neural-networks.html Nanophysics Wed, 02 Sep 2020 10:20:01 EDT news518259993 Organic-inorganic halide perovskite quantum dots (PQDs) form an attractive class of materials for optoelectronic applications. Their charge transport properties are, however, inferior compared to materials such as graphene. Conversely, graphene contains a charge generation efficiency that is too low for applications in optoelectronics. In a new report, Basudev Pradhan and a research team at the Nanoscience Technology Center, and the departments of Optics and Photonics, Materials Science Engineering, Â鶹ÒùÔºics and Chemistry at the University of Central Florida, U.S., Developed an ultrathin photon transistor and photonic synapses using graphene-PQD (graphene-perovskite quantum dot; G-PQD) superstructures. To prepare the superstructures they grew PQDs directly from a graphene lattice. Phototransistors made of G-QPDs exhibited excellent responsivity and specific detectivity. The light-assisted memory effects of the superstructures allowed photonic synaptic behavior for neuromorphic computing, which the team demonstrated through facial recognition applications with the assistance of machine learning. Pradhan et al. expect the G-PQD superstructure to bolster new directions to develop highly effective optoelectronic devices. /news/2020-02-ultrasensitive-ultrathin-phototransistors-photonic-synapses.html Nanophysics Nanomaterials Wed, 26 Feb 2020 09:30:01 EST news501923660 IBM researchers are developing a new computer architecture, better equipped to handle increased data loads from artificial intelligence. Their designs draw on concepts from the human brain and significantly outperform conventional computers in comparative studies. They report on their recent findings in the Journal of Applied Â鶹ÒùÔºics. /news/2018-10-brain-inspired-architecture-advance-ai.html General Â鶹ÒùÔºics Wed, 03 Oct 2018 15:49:09 EDT news457800540 U.S. Army Research Laboratory scientists have discovered a way to leverage emerging brain-like computer architectures for an age-old number-theoretic problem known as integer factorization. /news/2018-03-army-brain-like-closer-codes.html Computer Sciences Thu, 22 Mar 2018 03:56:24 EDT news440909766 One of the big challenges in computer architecture is integrating storage, memory and processing in one unit. This would make computers faster and more energy efficient. University of Groningen physicists have taken a big step towards this goal by combining a niobium doped strontium titanate (SrTiO3) semiconductor with ferromagnetic cobalt. At the interface, this creates a spin-memristor with storage abilities, paving the way for neuromorphic computing architectures. The results were published on 22 January in Scientific Reports. /news/2018-01-metal-semiconductor-interface-brain-inspired.html Condensed Matter Mon, 22 Jan 2018 06:48:31 EST news435826100 "In-memory computing" or "computational memory" is an emerging concept that uses the physical properties of memory devices for both storing and processing information. This is counter to current von Neumann systems and devices, such as standard desktop computers, laptops and even cellphones, which shuttle data back and forth between memory and the computing unit, thus making them slower and less energy efficient. /news/2017-10-ibm-scientists-in-memory-million-devices.html Nanophysics Tue, 24 Oct 2017 09:30:05 EDT news428055737 A collaborative of Russian and Italian scientists has created a neural network based on polymeric memristors, devices that can potentially be used to build fundamentally new computers. According to the researchers, these developments have applications in systems for machine vision, hearing, and other sensory organs, and also intelligent control systems for various devices, including autonomous robots. /news/2016-01-scientists-neural-network-plastic-memristors.html Computer Sciences Fri, 29 Jan 2016 06:46:20 EST news373272343 "Imagine a heart surgeon operating to repair a blocked coronary artery. Someday soon, the surgeon might run a detailed computer simulation of blood flowing through the patient's arteries, showing how millions of red blood cells jostle and tumble through the small vessels. The simulation would identify the best repair strategy. /news/2014-07-exascale.html Computer Sciences Wed, 23 Jul 2014 09:50:02 EDT news325323820 (Â鶹ÒùÔº) —If technology expertise can advance artificial intelligence, what can we imagine for artificial vision? An interesting development in artificial vision comes from a Swiss company iniLabs. They have developed a camera that behaves like the human eye, based on the wonders of the human retina. Just as robotics developers take their cues from biology, this Swiss team has recognized how biology can inspire an alternative to conventional machine vision. The workings of the human eye require far less power than a digital camera would require and leave less information to be processed. Borrowing from the way the eye functions, the company has built a more efficient digital camera. /news/2013-08-dynamic-vision-sensor-tech-human.html Engineering Mon, 26 Aug 2013 05:40:01 EDT news296709858 Scientists from IBM today unveiled a breakthrough software ecosystem designed for programming silicon chips that have an architecture inspired by the function, low power, and compact volume of the brain. The technology could enable a new generation of intelligent sensor networks that mimic the brain's abilities for perception, action, and cognition. /news/2013-08-ibm-foundation-synapse-chips-human.html Computer Sciences Thu, 08 Aug 2013 04:08:56 EDT news295153713 (Â鶹ÒùÔº) —The brain's repute took a big hit in 1997 when an IBM supercomputer defeated world chess champion Gary Kasparov in a match reported around the world. But in the second round, the brain is back. /news/2013-05-nice-brain-future-supercomputers.html Computer Sciences Tue, 14 May 2013 14:08:40 EDT news287759300 A new paradigm in quantum information processing has been demonstrated by physicists at UC Santa Barbara. Their results are published in this week's issue of Science Express online. /news/2011-09-physicists-quantum-von-neumann-architecture.html Quantum Â鶹ÒùÔºics Thu, 01 Sep 2011 15:16:34 EDT news234108874 (Â鶹ÒùÔºOrg.com) -- Today at SC 09, the supercomputing conference, IBM announced significant progress toward creating a computer system that simulates and emulates the brain's abilities for sensation, perception, action, interaction and cognition, while rivaling the brain's low power and energy consumption and compact size. /news/2009-11-based-insights-brain-closer-reality.html Computer Sciences Wed, 18 Nov 2009 05:37:37 EST news177744958