Video super-resolution, aiming to elevate the quality of low-quality videos to high fidelity, faces the daunting challenge of addressing diverse and intricate degradations commonly found in real-world scenarios. Unlike previous focuses on synthetic or specific camera-related degradations, the complexity arises from multiple unknown factors like downsampling, noise, blur, flickering, and video compression. While recent CNN-based…
New research drawing upon pragmatics and philosophy proposes ways to align conversational agents with human values Language is an essential human trait and the primary means by which we communicate information including thoughts, intentions, and feelings. Recent breakthroughs in AI research have led to the creation of conversational agents that are able to communicate with…
Modern Data Warehousing. State-of-the-art data platform design | by đź’ˇMike Shakhomirov | Dec, 2023
State-of-the-art data platform design 12 min read · 13 hours ago Photo by Nubelson Fernandes on UnsplashIn this story, I will try to shed some light on the benefits of modern data warehouse solutions (DWH) compared to other data platform architecture types. I would dare to say that DWH is the most…
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Large Language Model (LLM) has recently started to find their foot in the business, and it will expand even further. As the company began understanding the benefits of implementing the LLM, the data team would adjust the model to the business requirements.
The optimal path for the business…
3D human motion reconstruction is a complex process that involves accurately capturing and modeling the movements of a human subject in three dimensions. This job becomes even more challenging when dealing with videos captured by a moving camera in real-world settings, as they often contain issues like foot sliding. However, a team of researchers from…
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Using batting stats from Major League Baseball’s 2023 season Shohei Ohtani, photo by Erik Drost on Flikr, CC BY 2.0Outlier detection is an unsupervised machine learning task to identify anomalies (unusual observations) within a given data set. This task is helpful in many real-world cases where our available dataset is already “contaminated” by anomalies. Scikit-learn…
With the evolving digital landscape, a wealth of data is being generated and captured from diverse sources. While immensely valuable, this vast universe of information often reflects the imbalanced distribution of real-world phenomena. The problem of imbalanced data is not merely a statistical challenge; it has far-reaching implications for the accuracy and reliability of the…
The field of pose estimation, which involves determining the position and orientation of an object in space, is a rapidly evolving area, with researchers continuously developing new methods to improve its accuracy and performance. Researchers from three highly regarded institutions – Tsinghua Shenzhen International Graduate School, Shanghai AI Laboratory, and Nanyang Technological University – have…
Applying our AI research to help enrich the lives of billions of people around the world Building useful products with new technologies has always been one of my greatest joys. As a boy, I’d spend hours connecting resistors, capacitors, and other electronic components with wires. First I’d assemble a Morse code circuit. Then dissemble the…