Fast Prototyping
Fast prototyping focuses on rapidly creating functional models or systems to accelerate development and testing across diverse fields. Current research emphasizes efficient frameworks for various applications, including federated learning (using architectures like transformers and homomorphic encryption), spiking neural networks (leveraging JAX and novel training algorithms), and AI-driven design (employing diffusion models and no-code AutoML). This approach significantly reduces development time and costs, enabling quicker iteration and evaluation of new designs and algorithms in areas ranging from robotics and AI to user interface design and agricultural technology.
Papers
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