How to know the unknowable in observational studies Introduction Problem Setup 2.1. Causal Graph 2.2. Model With and Without Z 2.3. Strength of Z as a Confounder Sensitivity Analysis 3.1.…
In the age of relentless technological advancement, artificial intelligence has emerged as the unsung hero, revolutionizing industries one algorithm at a time. Among the sectors witnessing a seismic shift, the…
It’s no secret that supervised machine learning models need to be trained on high-quality labeled datasets. However, collecting enough high-quality labeled data can be a significant challenge, especially in situations…
The emergence of Large Vision-Language Models (LVLMs) characterizes the intersection of visual perception and language processing. These models, which interpret visual data and generate corresponding textual descriptions, represent a significant…
Automation, machine learning and LLMs in the chip industry (source: chatGPT)I felt like one of those guys from Monsters Inc. You know, the ones in the big yellow hazmat suits.…
Optical character recognition (OCR) software help convert non-editable document formats such as PDFs, images, or paper documents into machine-readable formats that are editable & searchable. OCR applications are commonly used…
Diffusion models are a set of generative models that work by adding noise to the training data and then learn to recover the same by reversing the noising process. This…
How to Create a Speech-to-Text-to-Speech Program Image by Mariia Shalabaieva from unsplashIt’s been exactly a decade since I started attending GeekCon (yes, a geeks’ conference 🙂) — a weekend-long hackathon-makeathon…
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A month into 2024 and I’ve never seen my LinkedIn profile so busy with ‘Open to Work’ banners and posts. 2023 was already tough, with…
Understand Semantic Structures with Transformers and Topic Modeling We live in the age of big data. At this point it’s become a cliche to say that data is the oil…