The future of edge AI: Dye-sensitized solar cell-based synaptic device

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Physical reservoir computing (PRC) utilizing synaptic devices shows significant promise for edge AI. Researchers from the Tokyo University of Science have introduced a novel self-powered dye-sensitized solar cell-based device that mimics human synaptic behavior for efficient edge AI processing, inspired by the eye’s afterimage phenomenon. The device has light intensity-controllable time constants, helping it achieve …

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The next evolution of AI begins with ours: Neuroscientists devise a potential explanation for innate ability

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In a sense, each of us begins life ready for action. Many animals perform amazing feats soon after they’re born. Spiders spin webs. Whales swim. But where do these innate abilities come from? Obviously, the brain plays a key role as it contains the trillions of neural connections needed to control complex behaviors.

Multimodal Autoregressive Pre-Training of Large Vision Encoders

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*Equal Contributors A dominant paradigm in large multimodal models is to pair a large language de- coder with a vision encoder. While it is well-known how to pre-train and tune language decoders for multimodal tasks, it is less clear how the vision encoder should be pre-trained. A de facto standard is to pre-train the vision …

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