Every day, organizations face complex logistical challenges—from optimizing delivery routes and managing supply chains to streamlining production schedules. These tasks
Converting complex documents into structured data has long posed significant challenges in the field of computer science. Traditional approaches, involving
Optical Character Recognition (OCR) is a powerful technology that converts images of text into machine-readable content. With the growing need
Machine learning has expanded beyond traditional Euclidean spaces in recent years, exploring representations in more complex geometric structures. Non-Euclidean representation
VLMs have shown notable progress in perception-driven tasks such as visual question answering (VQA) and document-based visual reasoning. However, their
Multimodal reasoning is an evolving field that integrates visual and textual data to enhance machine intelligence. Traditional artificial intelligence models
Machine Translation (MT) has emerged as a critical component of Natural Language Processing, facilitating automatic text conversion between languages to
Lowe’s, a leading home improvement retailer with 1,700 stores and 300,000 associates, is establishing itself as a pioneer in AI
At NVIDIA GTC25, Gnani.ai experts unveiled groundbreaking advancements in voice AI, focusing on the development and deployment of Speech-to-Speech Foundation
Reinforcement learning (RL) has become central to advancing Large Language Models (LLMs), empowering them with improved reasoning capabilities necessary for
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