Multimodal mathematical reasoning enables machines to solve problems involving textual information and visual components like diagrams and figures. This requires combining language understanding and visual interpretation to make sense of complex mathematical contexts. Such capabilities are vital in education, automated…
Discovering faster algorithms for matrix multiplication remains a key pursuit in computer science and numerical linear algebra. Since the pioneering contributions of Strassen and Winograd in the late 1960s, which showed that general matrix products could be computed with fewer…
Researchers are reimagining how models operate as demand skyrockets for faster, smarter, and more private AI on phones, tablets, and laptops. The next generation of AI isn’t just lighter and faster; it’s local. By embedding intelligence directly into devices, developers…
Over time, the pursuit of better performance of language models has pushed researchers to scale them up, which typically involves increasing the number of parameters or extending their computational capacity. As a result, the development and deployment of language models…
Marktechpost AI Media has unveiled its most comprehensive publication—The Agentic AI and AI Agents Report for 2025—delivering a technically rigorous exploration into the architectures, frameworks, and deployment strategies shaping the future of AI agents. The report spans the full agentic…
In this tutorial, we provide a practical guide for implementing LangGraph, a streamlined, graph-based AI orchestration framework, integrated seamlessly with Anthropic’s Claude API. Through detailed, executable code optimized for Google Colab, developers learn how to build and visualize AI workflows…
