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Category: computing – Page 204

Oxide Ionic Neuro-Transistors for Bio-inspired Computing

Current computing systems rely on Boolean logic and von Neumann architecture, where computing cells are based on high-speed electron-conducting complementary metal-oxide-semiconductor (CMOS) transistors. In contrast, ions play an essential role in biological neural computing. Compared with CMOS units, the synapse/neuron computing speed is much lower, but the human brain performs much better in many tasks such as pattern recognition and decision-making. Recently, ionic dynamics in oxide electrolyte-gated transistors have attracted increasing attention in the field of neuromorphic computing, which is more similar to the computing modality in the biological brain. In this review article, we start with the introduction of some ionic processes in biological brain computing. Then, electrolyte-gated ionic transistors, especially oxide ionic transistors, are briefly introduced. Later, we review the state-of-the-art progress in oxide electrolyte-gated transistors for ionic neuromorphic computing including dynamic synaptic plasticity emulation, spatiotemporal information processing, and artificial sensory neuron function implementation. Finally, we will address the current challenges and offer recommendations along with potential research directions.

Keywords: bio-inspired computing; ionic transistors; oxide semiconductors.

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Neotype kuramite optoelectronic memristor for bio-synaptic plasticity simulations

Memristive devices with both electrically and optically induced synaptic dynamic behaviors will be crucial to the accomplishment of brain-inspired neuromorphic computing systems, in which the resistive materials and device architectures are two of the most important cornerstones, but still under challenge. Herein, kuramite Cu3SnS4 is newly introduced into poly-methacrylate as the switching medium to construct memristive devices, and the expected high-performance bio-mimicry of diverse optoelectronic synaptic plasticity is demonstrated. In addition to the excellent basic performances, such as stable bipolar resistive switching with On/Off ratio of ∼486, Set/Reset voltage of ∼-0.88/+0.96 V, and good retention feature of up to 104 s, the new designs of memristors possess not only the multi-level controllable resistive-switching memory property but also the capability of mimicking optoelectronic synaptic plasticity, including electrically and visible/near-infrared light-induced excitatory postsynaptic currents, short-/long-term memory, spike-timing-dependent plasticity, long-term plasticity/depression, short-term plasticity, paired-pulse facilitation, and “learning-forgetting-learning” behavior as well. Predictably, as a new class of switching medium material, such proposed kuramite-based artificial optoelectronic synaptic device has great potential to be applied to construct neuromorphic architectures in simulating human brain functions.

© 2023 Author(s). Published under an exclusive license by AIP Publishing.

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ESM3: Simulating 500 million years of evolution with a language model

More than 3.5 billion years ago, life on Earth emerged from chemical reactions. Nature invented RNA, proteins, and DNA, the core molecules of life, and created the ribosome, a molecular factory that builds proteins from instructions in the genome.

Proteins are wondrous dynamic molecules with incredible functions—from molecular engines that power motion, to photosynthetic machines that capture light and convert it to energy, scaffolding that builds the internal skeletons of cells, complex sensors that interact with the environment, and information processing systems that run the programs and operating system of life. Proteins underlie disease and health, and many life-saving medicines are proteins.

Biology is the most advanced technology that has ever been created, far beyond anything that people have engineered. The ribosome is programmable—it takes the codes of proteins in the form of RNA and builds them up from scratch—fabrication at the atomic scale. Every cell in every organism on earth has thousands to millions of these molecular factories. But even the most sophisticated computational tools created to date barely scratch the surface: biology is written in a language we don’t yet understand.

Discover the future of brain-computer interfaces with Neuralink #shorts

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