COMPUTING WITH AUTOMATED REASONING: THE VANGUARD OF TRANSFORMATION OF HIGH-PERFORMANCE AND UNIVERSAL AI ARCHITECTURES

Machine learning has made remarkable strides in recent years, with systems surpassing human abilities in diverse tasks. However, the main hurdle lies not just in creating these models, but in utilizing them optimally in everyday use cases. This is where inference in AI becomes crucial, arising as a key area for scientists and industry professionals