AKCAGE.COM

Artificial intelligence is increasingly integrated into different sectors, yet there is limited empirical evidence of its real world application across industries. Traditional research methods – such as predictable modeling and user surveys – struggle to capture AI’s evolving role in workplaces. This makes it difficult to assess its influence on productivity, labor markets and economic … Read more

Transformer-based models have significantly advanced Natural Language Processing (NLP), which is distinguished in different tasks. However, they are struggling with reasoning for long contexts, multi-stage inference and numeric reasoning. These challenges arise from their square complexity in self -perception, making them ineffective for expanded sequences and their lack of explicit memory, limiting their ability to … Read more

Mathematical reasoning is still one of the most complex challenges in AI. While AI is advanced in NLP and pattern recognition, its ability to solve complex mathematical problems with human -like logic and reasoning still hangs. Many AI models struggle with structured problem solving, symbolic reasoning and understand the deep relations between mathematical concepts. Tackling … Read more