Healthcare claims often fail due to small data errors. Mukesh Kumar Mishra has built cloud-based validation and anomaly ...

Abstract: This paper presents LogiCode, a novel framework that leverages Large Language Models (LLMs) for identifying logical anomalies in industrial settings, moving beyond the traditional focus on ...

Do you get energy from building AI systems that make a tangible difference in operational environments? Do you want to work at the intersection of machine learning and complex infrastructure, on ...

As if the Miasma situation weren't bad enough, now this weapon is spreading like wildfire. Someone open sourced the entire Miasma worm supply-chain attack toolkit, likely using previously compromised ...

Hello everyone! This is PrimeQUADRAFLOW. As of May 16, 2026, our business environment is changing rapidly, and there is an even greater demand for efficiency and productivity improvements. It is no ...

In 2026, organizations are tackling the “semantic gap” in AI outputs by embedding LLM-as-judge evaluations, multi-prompt chains, and human oversight directly into CI/CD pipelines. Tools like Vellum, ...

This is the official code to reproduce the experiments in the paper AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2, accepted at IEEE/CVF Winter Conference on Applications of ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

Have you ever found yourself wrestling with Excel formulas, wishing for a more powerful tool to handle your data? Or maybe you’ve heard the buzz about Python in Excel and wondered if it’s truly the ...