Nikhil is an intern consultant at Marktechpost. He is pursuing an integrated dual degree in Materials at the Indian Institute of Technology, Kharagpur. Nikhil is an AI/ML enthusiast who is always researching applications in fields like biomaterials and biomedical science. With a strong background in Material Science, he is exploring new advancements and creating opportunities to contribute.
The Need for Cognitive and Adaptive Search Engines
Modern search systems are evolving rapidly as the demand for context-aware, adaptive information retrieval grows. With the...
Understanding the Importance of Benchmarking in Tabular ML
Machine learning on tabular data focuses on building models that learn patterns from structured datasets, typically composed...
Introduction to Learning-Based Robotics
Robotic control systems have made significant progress through methods that replace hand-coded instructions with data-driven learning. Instead of relying on explicit...
In this tutorial, we demonstrate a fully functional and modular data analysis pipeline using the Lilac library, without relying on signal processing. It combines...
The Rising Need for Scalable Reasoning Models in Machine Intelligence
Advanced reasoning models are at the frontier of machine intelligence, especially in domains like math...
Why Multimodal Reasoning Matters for Vision-Language Tasks
Multimodal reasoning enables models to make informed decisions and answer questions by combining both visual and textual information....
Why Web Agents Struggle with Dynamic Web Interfaces
Digital agents designed for web environments aim to automate tasks such as navigating pages, clicking buttons, or...
Redefining Job Execution with AI Agents
AI agents are reshaping how jobs are performed by offering tools that execute complex, goal-directed tasks. Unlike static algorithms,...
The development and deployment of advanced AI systems increasingly depend on flexible, robust orchestration layers that bridge diverse models, tools, and resources. IBM’s MCP...
Multimodal LLMs: Expanding Capabilities Across Text and Vision
Expanding large language models (LLMs) to handle multiple modalities, particularly images and text, has enabled the development...
Understanding Subgroup Fairness in Machine Learning ML
Evaluating fairness in machine learning often involves examining how models perform across different subgroups defined by attributes such...
The Challenge of Long-Context Reasoning in AI Models
Large reasoning models are not only designed to understand language but are also structured to think through...
