Consultant Intern: Kriti Maloo is currently pursuing her B.Tech from Indian Institute of Technology (IIT) Bhubaneswar. She is interested in Data Analytics and its applications in various domains. She is a Bibliophile and loves to explore new advancements in the field of technology.
Designing machines capable of exhibiting a compositional understanding of visual events has been an important goal of the computer vision community. Stanford AI has...
Large-scale training data is essential for building efficient deep learning models. In classical training frameworks, this training data is thought to arrive all at...
Recently, Facebook released the Image Similarity data set and announced an associated competition hosted by DrivenData with a whopping $200,000 prize pool. The competition began on...
Deepfakes have become increasingly convincing over the years. In collaboration with Michigan State University (MSU), Facebook has presented a research method of detecting and...
Obtaining datasets that include thorough labeling of sensitive attributes is difficult, especially in the domain of computer vision. Recently, Google has introduced the More...
Facebook has recently open-sourced AugLy, a new Python library that aims to help AI researchers use data augmentations to evaluate and improve the durability...
A team of Researchers at BUET (Bangladesh University of Engineering and Technology) and UCLA (University of California- Los Angeles) has created a framework that...
Pyodide, a Mozilla's independent community-driven project, provides a full Python data science stack running entirely in the browser. It uses the CPython 3.8 interpreter...
Amazon has announced the general availability of Redshift ML, enabling customers to utilize SQL to query and combine structured and semi-structured data across various...
Last year, Facebook AI released Dynabench, a platform that radically rethinks benchmarking in AI, starting with natural language processing (NLP) models. Going forward, they...
