Rapid and Scalable Bayesian AB Testing

AB testing aids business operators with their decision making, and is considered the gold standard method for learning from data to improve digital user experiences. However, there is usually a gap between the requirements of practitioners, and the constraints imposed by the statistical hypothesis testing methodologies commonly used for analysis of AB tests. These include …

SIEM and threat intelligence: Stay current on trending threats

With the average cost of a data breach soaring to an all-time high at USD $4.45 million dollars in 2023, organizations face an ever-increasing array of cybersecurity threats. These threats can range from ransomware attacks to phishing campaigns and insider threats, potentially resulting in data breaches. As cybercriminals become more sophisticated and their tactics more …

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RO-ViT: Region-aware pre-training for open-vocabulary object detection with vision transformers

Posted by Dahun Kim and Weicheng Kuo, Research Scientists, Google The ability to detect objects in the visual world is crucial for computer vision and machine intelligence, enabling applications like adaptive autonomous agents and versatile shopping systems. However, modern object detectors are limited by the manual annotations of their training data, resulting in a vocabulary …

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University of San Francisco Data Science Conference 2023 Datathon in partnership with AWS and Amazon SageMaker Studio Lab

As part of the 2023 Data Science Conference (DSCO 23), AWS partnered with the Data Institute at the University of San Francisco (USF) to conduct a datathon. Participants, both high school and undergraduate students, competed on a data science project that focused on air quality and sustainability. The Data Institute at the USF aims to …

Computer scientists develop open-source tool for dramatically speeding up the programming language Python

A team of computer scientists at the University of Massachusetts Amherst, led by Emery Berger, recently unveiled a prize-winning Python profiler called Scalene. Programs written with Python are notoriously slow—up to 60,000 times slower than code written in other programming languages—and Scalene works to efficiently identify exactly where Python is lagging, allowing programmers to troubleshoot …