This invention discloses a method and
system for
digital human hosting programs using AI technology, relating to the field of
artificial intelligence technology. The method includes: firstly,
parsing the program schedule to extract key
semantics, and dynamically calculating semantic temperature by combining the attention weight gradient change rate and action information entropy density; subsequently, in the action expression stage, using semantic temperature to inversely adjust the Brownian
diffusion coefficient; and strictly limiting the random differential increment within redundant
degrees of freedom using the Jacobi null space projection operator to ensure the accuracy of core action intentions while endowing posture with agility. A latent space similarity drift evolution mechanism controlled by semantic temperature is established, and the high-frequency action probability space after
elimination and alignment is jointly superimposed and normalized for expansion; finally, using an
accelerometer integral cost function to filter out mechanical twitches and perform interpolation stitching. This completely overcomes the technical pain point of monotonous
digital human expression, generating humanoid actions that balance physical accuracy and extremely high diversity.