About researchguy blogs
Hello reader! Thank you for visiting researchguy! The blogs here encompass some of the latest and past developments in technology across Machine Learning (ML) and Artificial Intelligence (AI). I am indebted to some really meaningful content encompassing ML and AI across the internet – THE BATCH @ DeepLearning.AI, AlphaSignal, Papers With Code, to name name a few, that help shape the blogs. A part of the blogs do reflect my own thoughts about the topic being blogged. I do hope you will enjoy the content and reach out for any constructive feedback to help improve the content.
Blogs
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Abstractly: Agentic Research Analysis for arXiv
ML and AI Blogs | Issue# 18 [May 18, 2026] Introduction Research papers on arXiv are one of the richest, most current sources of knowledge in science and technology. However, keeping up with them is hard. Researchers and practitioners regularly face the same friction: searching arXiv manually, sifting through abstracts, downloading papers, and synthesizing findings…
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Reinforcement Learning with TensorFlow: Solving MountainCar-v0 with Deep Q-Network using TF-Agents
ML and AI Blogs | Issue# 17 [August 15, 2025] There are many applications of Reinforcement Learning (RL) – a branch of ML where an agent learns to make decisions by interacting with an environment and receiving rewards as feedback. Examples include game-playing AI, robotics control, recommendation systems, traffic signal optimization, resource management, and autonomous…
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AskVeracity: An Agentic Fact-Checking System for Misinformation Detection
ML and AI Blogs | Issue# 16 [April 27, 2025] Introduction In today’s digital landscape, misinformation spreads at unprecedented speeds. The ease with which false information can propagate through social media platforms, news aggregators, and messaging apps has created an urgent need for effective fact-checking solutions. To address this challenge, we have developed AskVeracity – an AI-powered…