Niharika is a Technical consulting intern at Marktechpost. She is a third year undergraduate, currently pursuing her B.Tech from Indian Institute of Technology(IIT), Kharagpur. She is a highly enthusiastic individual with a keen interest in Machine learning, Data science and AI and an avid reader of the latest developments in these fields.
In the world of technology, navigating graphical user interfaces (GUIs) can be challenging, especially when dealing with complex or unfamiliar systems. This issue becomes...
Running large models for AI applications typically requires powerful and expensive hardware. For individuals or smaller organizations, this poses a significant barrier to entry....
Many developers face the challenge of safely executing AI-generated code. Running such code locally can pose security risks and may require extensive setup. Additionally,...
Generating comprehensive and detailed outlines for long-form articles, such as those on Wikipedia, poses a significant challenge. Traditional approaches often do not capture the...
Speed and efficiency are crucial in computer graphics and simulation. It can be challenging to create high-performance simulations that can run smoothly on various...
In robotics, understanding the position and movement of a sensor suite within its environment is crucial. Traditional methods, called Simultaneous Localization and Mapping (SLAM),...
Creating datasets for training custom AI models can be a challenging and expensive task. This process typically requires substantial time and resources, whether it's...
Managing, analyzing, and extracting data from large volumes of documents is a crucial yet challenging task. Traditionally, this has required expensive proprietary software solutions....
Developers often face challenges when working on large coding projects. These challenges include getting stuck on unfamiliar technologies, managing extensive backlogs, and spending much...
Artificial Intelligence (AI) projects require powerful hardware to function efficiently, especially when dealing with large models and complex tasks. Traditional hardware often needs help...
