CONFIGURABLE NONLINEAR ACTIVATION FUNCTION CIRCUITS

    公开(公告)号:US20230083597A1

    公开(公告)日:2023-03-16

    申请号:US17807125

    申请日:2022-06-15

    Abstract: Certain aspects of the present disclosure provide a processor, comprising: a configurable nonlinear activation function circuit configured to: determine, based on a selected nonlinear activation function, a set of parameters for the nonlinear activation function; and generate output data based on application of the set of parameters for the nonlinear activation function, wherein: the configurable nonlinear activation function circuit comprises at least one nonlinear approximator comprising at least two successive linear approximators, and each linear approximator of the at least two successive linear approximators is configured to approximate a linear function using one or more function parameters of the set of parameters.

    Method and apparatus for producing programmable probability distribution function of pseudo-random numbers
    2.
    发明授权
    Method and apparatus for producing programmable probability distribution function of pseudo-random numbers 有权
    用于生成伪随机数的可编程概率分布函数的方法和装置

    公开(公告)号:US09417845B2

    公开(公告)日:2016-08-16

    申请号:US14195988

    申请日:2014-03-04

    CPC classification number: G06F7/584 G06N3/0472 G06N3/049 G06N3/063

    Abstract: Certain aspects of the present disclosure provide methods and apparatus for producing programmable probability distribution function of pseudo-random numbers that can be utilized for filtering (dropping and passing) neuron spikes. The present disclosure provides a simpler, smaller, and lower-power circuit than that typically used. It can be programmed to produce any of a variety of non-uniformly distributed sequences of numbers. These sequences can approximate true probabilistic distributions, but maintain sufficient pseudo-randomness to still be considered random in a probabilistic sense. This circuit can be an integral part of a filter block within an ASIC chip emulating an artificial nervous system.

    Abstract translation: 本公开的某些方面提供了用于产生可用于过滤(丢弃和传递)神经元峰值的伪随机数的可编程概率分布函数的方法和装置。 本公开提供了比通常使用的电路更简单,更小和更低功率的电路。 它可以被编程以产生各种不均匀分布的数字序列。 这些序列可以近似真实的概率分布,但是保持足够的伪随机性仍然在概率上被认为是随机的。 该电路可以是模拟人造神经系统的ASIC芯片内的滤波器块的组成部分。

    Circular accumulator for floating point addition

    公开(公告)号:US11275559B2

    公开(公告)日:2022-03-15

    申请号:US16920242

    申请日:2020-07-02

    Abstract: Certain aspects of the present disclosure are directed to methods and apparatus for circular floating point addition. An example method generally includes obtaining a first floating point number represented by a first significand and a first exponent, obtaining a second floating point number represented by a second significand and second exponent, and adding the first floating point number and the second floating point number using a circular accumulator device.

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