You walk into a room, and it's empty, but you enter, and without hesitation, you sit down into mid air, and before you land, a chair materializes itself to catch you. The actual matter, the particles that make up the chair, have been engineered to become chairs. They have "chair" written not into their DNA, but into their fundamental physics. They have no power source because they take their energy from light waves, sound waves, vibrations, even gradients like in between high temperatures and lows, or saltwater and fresh, or whatever that means, since it could be an information gradient (could it?). They have no battery because they don't use more than they need in real time. Every particle of this special form of matter is a computer, with wireless communication, with sensors, all of it built into the physics of the particles themselves. It will know you're in the room, who you are and what you want. And that's why all you have to do is want to sit, and the chair materializes. It's still too hard to explain what it means when everything is a computer, but here is an introduction:
Photonic chip that 'fits together like Lego' opens door to semiconductor industry
Dec 2023, phys.org
Chiplets - The chip is built using an emerging technology in silicon photonics that allows the integration of diverse systems on semiconductors less than 5 millimeters wide; it's like fitting together Lego building blocks, where new materials are integrated through advanced packaging of components, using electronic "chiplets."
via University of Sydney Nano Institute: Matthew Garrett et al, Integrated microwave photonic notch filter using a heterogeneously integrated Brillouin and active-silicon photonic circuit, Nature Communications (2023). DOI: 10.1038/s41467-023-43404-x
Unexpected AI fingers image credit: AI Art - AI Fingers at Work on a Circuitboard - 2023
Study suggests that physical processes can have hidden neural network-like abilities
Jan 2024, phys.org
Natural molecular processes can do complex calculations that rival a simple neural network. On the face of it, the initial steps in the act of freezing - called 'nucleation' in physics - do not resemble 'thinking'. But the new study shows that the act of freezing can "recognize" subtly different chemical combinations - e.g., the smell of oatmeal raisin cookies versus chocolate chip - and build different molecular structures in response.The work points at a new view of computation that does not involve designing circuits, but rather designing what physicists call a phase diagram. For example, for water, a phase diagram might describe the temperature and pressure conditions in which liquid water will freeze or boil, which are 'muscle'-like material properties. But this work shows that the phase diagram can also encode 'thinking' in addition to 'doing,' when scaled up to complex systems with many different kinds of components.
via University of Chicago, California Institute of Technology, and Maynooth University: Constantine Glen Evans et al, Pattern recognition in the nucleation kinetics of non-equilibrium self-assembly, Nature (2024). DOI: 10.1038/s41586-023-06890-z
International research team develops new hardware for neuromorphic computing
Feb 2024, phys.org
In the eye, the visual information is pre-processed by hundreds of millions of the retina's photoreceptors and converted into electrical signals that are transmitted by the optic nerve to the brain. This process greatly reduces the amount of data processed in the brain by the visual cortex.
(The nose is far, far crazier in what it does, by the way)
Inspired by eyesight, this on-chip phonon-magnon reservoir for neuromorphic computing maps input signals into a multidimensional reservoir space. The reservoir is made of acoustic waves (phonons) and spin waves (magnons), and is not trained but only expedites recognition by a simplified artificial neural network, resulting in enormous reduction of computational resources and training time.
(Wait until they get inspired by the nose)
via Technische Universität Dortmund, Loughborough University, V. E. Lashkaryov Institute of Semiconductor Physics in Kyiv, University of Nottingham: Dmytro D. Yaremkevich et al, On-chip phonon-magnon reservoir for neuromorphic computing, Nature Communications (2023). DOI: 10.1038/s41467-023-43891-y
A low-cost system to collect EEG measurements during VR experiences
Feb 2024, phys.org
Everything gets it's own chip, just like this
NeuroVista, the new system proposed by the researchers, utilizes KS1092, a cost-effective biological potential measurement chip. The prototype of the device created by the researchers is comprised of this chip, along with a set of electrodes, and a lithium battery.
via South China University of Technology: Zhiyuan Yu et al, A low-cost, wireless, 4-channel EEG measurement system used in virtual reality environments, HardwareX (2024). DOI: 10.1016/j.ohx.2024.e00507.
Giant leap toward neuromorphic devices: High-performance spin-wave reservoir computing
Mar 2024, phys.org
It's a high-performance spin wave reservoir computing that uses spintronics. It works with a randomly generated network called the "reservoir" which enables the memorization of past input information and its nonlinear transformation, allowing physical systems to perform tasks for sequential data.
via Tohoku University Advanced Institute for Materials Research: Satoshi Iihama et al, Universal scaling between wave speed and size enables nanoscale high-performance reservoir computing based on propagating spin-waves, npj Spintronics (2024). DOI: 10.1038/s44306-024-00008-5
