Thomas Clare

Philadelphia University, University of Pennsylvania

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About

Thomas Clare is a pioneering figure in the early development of analog neural computing, a field that sought to harness the speed and efficiency of analog circuits for real-time artificial intelligence. His key research areas include VLSI design for neural networks, programmable analog computation, and real-time pattern recognition. Clare’s major contributions are encapsulated in his foundational work on the design and fabrication of VLSI components for a general-purpose analog neural computer, a project that demonstrated how custom silicon could be used to implement neural architectures with remarkable efficiency. His 1989 paper on this topic, which has garnered 26 citations, remains a touchstone for researchers exploring neuromorphic hardware. In a seminal 1988 report, Clare described a programmable analog neural computer and simulator intended for real-world, real-time computations—such as the analysis of visual and acoustical patterns, robotics, and the development of specialized neural nets. This work was notable for its scalability and practical orientation, laying the groundwork for later advances in embedded neural systems. Though his citation counts are modest by today’s standards, Clare’s early vision and engineering ingenuity helped shape the trajectory of analog neural computing.