In the current situation of Covid19, the whole world is experiencing unprecedented scenarios everywhere, which often everyone is terming as the “new normal”. But before becoming the “new normal”, these abnormal or anomalous outcomes can result in positive or negative impact for any organization and are important to keep track…

A detailed walk-through for applied computer vision for absolute beginners with basic knowledge of Python. — Throughout my career as a Data Scientist and AI Researcher, it is the image data domain that has attracted me the most. The main reason is I find the image domain quite “colorful” and although there has been significant progress made in this domain so far, yet there are many…

This article presents a comprehensive guide for researchers to select relevant statistical tests for hypothesis testing. — Scientists and researchers conduct various statistical tests to test their hypotheses. Hypothesis testing is a statistical method used to determine whether there is enough evidence to support or reject a hypothesis about a population parameter. In hypothesis testing, a null hypothesis (H0) is initially assumed to be true, and an…

Learn about data-centric explanation and its different types in this article — Explainable AI (XAI) is an emerging concept that aims to bridge the gap between AI and end-users, thereby increasing AI adoption. XAI can make AI/ML models more transparent, trustworthy, and understandable. It is a necessity, especially for critical domains such as healthcare, finance, and law enforcement. To get an introduction…

Explain deep neural networks using concept-based explanations — Explainable AI (XAI) is a subfield of artificial intelligence (AI) that aims to develop AI systems that can provide clear and understandable explanations of their decision-making processes to humans. The goal of XAI is to make AI more transparent, trustworthy, responsible, and ethical. XAI is an important element in increasing…

Read this story to learn from my experiences as I continuously push myself outside my comfort zone Every new year brings a lot of hope and positive energy to progress continuously in our journey called “life” to fulfill our goals and dreams. Like the past few years…

Utilize the power of AI to reimagine how fictional characters should look like — Stable Diffusion models and Dall-E are one of the most latest hot topics of discussion in the world of AI. It is always fascinating to see how AI is already matching and even exceeding human beings in terms of generating artwork and content that requires a lot of creativity and…

Top 9 Python frameworks for applying Explainable AI in practice — Explainable Artificial Intelligence is the most effective practice to ensure that AI and ML solutions are transparent, trustworthy, responsible, and ethical so that all regulatory requirements on algorithmic transparency, risk mitigation, and a fallback plan are addressed efficiently. AI and ML explainability techniques provide the necessary visibility into how these…

Utilize Anomalib from Intel OpenVinoToolkit to benchmark, develop, and deploy deep learning based image anomaly detection — Detecting image anomalies is even more difficult than detecting anomalies in structured datasets or from time series data. It is partly because visual features are more difficult to capture than numerical features in structured datasets. That is where Deep Learning (DL) techniques come in, as deep learning models can perform…