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Image by Editor AI applications possess unparalleled computational capabilities that can propel progress at an unprecedented pace. Nevertheless, these tools rely heavily on energy-intensive data…
Words and phrases can be effectively represented as vectors in a high-dimensional space using embeddings, making them a crucial tool in the field of natural language…
With the ever-expanding scope of natural language processing applications, there has been a growing demand for models that can effectively comprehend and act upon specific instructions…
Vision Language Model (VLM) is an advanced artificial intelligence system that combines natural language understanding with image recognition capabilities. Like OpenAI’s CLIP and Google’s BigGAN, VLMs…
Dynamic view synthesis is the process of reconstructing dynamic 3D scenes from captured videos and creating immersive virtual playback. This process has been a long-standing research…
Transformer models find applications in various applications, ranging from powerful multi-accelerator clusters to individual mobile devices. The varied requirements for inference in these settings make developers…
A Raspberry Pi is All You NeedRaspberry Pi Zero (model 2021), Image source WikipediaOften, we need to collect some data within a certain period of time.…
Detecting multicollinearity in data sets is an important step but also challenging. I will demonstrate how to detect variables with similar behavior in mixed data sets…
Image by Author Statistics plays a pivotal role across numerous fields including data science, business, social sciences, and more. However, many of the foundational statistical…
Multimodal graph learning is a multidisciplinary field combining concepts from machine learning, graph theory, and data fusion to tackle complex problems involving diverse data sources and…