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ASHA: Assistive Teleoperation via Human-in-the-Loop Reinforcement Learning
Building assistive interfaces for controlling robots through arbitrary, high-dimensional, noisy inputs (e. g., webcam images of eye gaze) can be challenging, especially when it involves inferring the user's desired action in the absence of a natural 'default' interface.
Reconstruction-Computation-Quantization (RCQ): A Paradigm for Low Bit Width LDPC Decoding
RCQ facilitates dynamic non-uniform quantization to achieve good frame error rate (FER) performance with very low message precision.
FPGA Implementations of Layered MinSum LDPC Decoders Using RCQ Message Passing
Non-uniform message quantization techniques such as reconstruction-computation-quantization (RCQ) improve error-correction performance and decrease hardware complexity of low-density parity-check (LDPC) decoders that use a flooding schedule.
Validate and Enable Machine Learning in Industrial AI
However, manufacturers and solution partners need to understand how to implement and integrate an AI model into the existing industrial control system.
