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Outlook is a popular email service for business communication and is often the first choice for large business users.While it offers a wide range powerful features…
Digital pathology converts traditional glass slides into digital images for viewing, analysis, and storage. Advances in imaging technology and software drive this transformation, which has significant…
The data estate is evolving, and data quality management needs to evolve right along with it. Here are three common approaches and where the field is…
An outlier detector method that supports categorical data and provides explanations for the outliers flagged10 min read·13 hours agoOutlier detection is a common task in machine…
Advancements in AI have led to proficient systems that make unclear decisions, raising concerns about deploying untrustworthy AI in daily life and the economy. Understanding neural…
The memory footprint of the key-value (KV) cache can be a bottleneck when serving large language models (LLMs), as it scales proportionally with both sequence length…
Transformers have greatly transformed natural language processing, delivering remarkable progress across various applications. Nonetheless, despite their widespread use and accomplishments, ongoing research continues to delve into…
Reinforcement learning (RL) is predicated on agents learning to make decisions by interacting with an environment. RL has achieved remarkable feats in various applications, including games,…
AI-enabled autopay systems leverage advanced machine learning algorithms to automate payment processes and make transactions faster and more efficient. Due to their ability to streamline operations…
A breakdown of what my data science role truly entailsPhoto by Corinne Kutz on UnsplashI have ~three years of experience working as a full-time data scientist,…