Understanding

of this series on multimodal AI systems, we’ve moved from a broad overview into the technical details that drive the architecture. In the primary article, I laid the muse by showing how layered, modular design...

In the primary story of this series, we've got: Addressed multiplication of a matrix by a vector, Introduced the concept of X-diagram for a given matrix, Observed behavior of several special matrices, when being multiplied by...

with calculating an application’s performance is that the real-world performance and theoretical performance can differ. With an ecosystem of products that's growing with high performance needs corresponding to High Performance Computing (HPC), gaming,...

The role of Artificial Intelligence in technology firms is rapidly evolving;  AI use cases have evolved from passive information processing to proactive agents able to executing tasks. In keeping with a March 2025 survey...

trees are a preferred supervised learning algorithm with advantages that include with the ability to be used for each regression and classification in addition to being easy to interpret. Nevertheless, decision trees aren’t...

(AI) capabilities and autonomy are growing at an accelerated pace in Agentic Ai, escalating an AI alignment problem. These rapid advancements require latest methods to make sure that AI agent behavior is aligned...

Since generative AI began to garner public interest, the pc vision research field has deepened its interest in developing AI models able to understanding and replicating physical laws; nonetheless, the challenge of teaching machine...

The video understanding artificial intelligence (AI) Twelbraps (CEO Jae -Sung Lee) announced on the seventh that it would provide multimodal models (LMM) 'Marengo' and 'Pegasus' to Amazon Web Service (AWS) 'Amazon Bedrock'. Amazon Bedrock is...