In the domain of data-driven decision-making, AutoML (Automated Machine Learning) emerges as a revolutionary tool. It automates the complex process of applying machine learning to real-world problems, enabling users of all expertise levels to swiftly build high-performing models. By simplifying tasks such as data preprocessing, model selection, and hyperparameter tuning, AutoML streamlines workflows, saving valuable …
Here is a set of frequently asked interview questions on generative AI. What is generative AI, and how does it differ from other types of AI? Generative AI focuses on creating new data, such as images, texts, or sounds, that resemble real data. Unlike other AI, which might classify or predict, generative AI produces entirely …
In the ever-evolving landscape of artificial intelligence, there emerges a groundbreaking approach that combines the prowess of multiple modalities such as text, images, speech, and more – to enhance comprehension and interaction. This integration of diverse data sources gives birth to what is known as multimodal AI, revolutionizing how machines perceive and understand the world …
The power of Integrated Technology: Multimodal AI Read More »
Generative Artificial Intelligence (AI) stands at the forefront of innovation, reshaping the boundaries of creativity and technology. It represents a paradigm shift in AI research, enabling machines to autonomously produce original content across various domains, including artwork, music, literature, and design. This technology emerged from the intersection of deep learning, neural networks, and computational creativity. …
The Boundless Creativity of Generative AI: From Art to Science Read More »
In recent years, the integration of machine learning (ML) techniques with material science research has catalyzed innovation, revolutionizing traditional approaches to material discovery, characterization, and optimization. This article explores the diverse applications of ML in material science, highlighting its transformative impact on various research domains. Areas in Material Science where Machine Learning is Used Prediction …
Introduction TinyML is the field which involves deployment of machine learning models into resource constrained devices such as micro-controllers. Such devices called edge devices often have few Kilobytes of RAM and flash memory but consumes power in milli-watts range. This feature makes the technology an ideal choice for remote sensing applications, weather stations, tiny gadgets …
Data science has become an indispensable field in today’s digital age, revolutionizing industries with its ability to derive valuable insights from vast amounts of data. While proficiency in programming languages and data manipulation tools is crucial, having a solid foundation in mathematics is equally essential for success in this field. In this article, we’ll explore …
Essential Math for Data Science : A Guide to Beginner’s Read More »
Stable diffusion models stand out for their ability to capture intricate data distributions while maintaining stability during training and inference. Unlike traditional approaches that may suffer from issues like mode collapse or vanishing gradients, stable diffusion models offer a robust solution for tasks ranging from image generation to data denoising. The title image depicting a …
The concept of the Internet of Things (IoT) revolves around the integration of sensors with compact computing devices like Arduino boards. This fusion enables a multitude of applications, ranging from surveillance monitoring to automated door locking and smart farming. A pivotal component of IoT systems is the dashboard, which serves as a hub for visualizing …
A Simple Data Visualization Web App Using Streamlit Library Read More »
The two or three-dimensional mapping of crystals in reciprocal space is known as reciprocal space mapping (RSM). The RSM is performed by a coupled scan of $2\theta-\omega$ for a set of $\omega$ values. These maps, centered around reciprocal lattice spots, offer insights beyond those obtained from single line scans, such as high-resolution rocking curves. In epitaxial …