PROCESSING BY MEANS OF DEEP LEARNING: THE VANGUARD OF IMPROVEMENT IN OPTIMIZED AND REACHABLE NEURAL NETWORK ARCHITECTURES

AI has achieved significant progress in recent years, with systems matching human capabilities in diverse tasks. However, the main hurdle lies not just in training these models, but in implementing them optimally in everyday use cases. This is where machine learning inference comes into play, arising as a key area for experts and innovators alike.W

Machine learning has advanced considerably in recent years, with models achieving human-level performance in diverse tasks. However, the main hurdle lies not just in developing these models, but in implementing them efficiently in everyday use cases. This is where inference in AI comes into play, surfacing as a key area for researchers and innovato