Amazon has updated its instructions for how customers should more securely implement AWS’s traffic-routing service known as Application Load Balancer, but it’s not clear everyone will get the memo.
A new adaptive 3D printing system can identify the positions of randomly distributed organisms and safely move them to specific locations for assembly.
On a research cruise around Hawaii in 2018, Yuening Zhang SM ’19, Ph.D. ’24 saw how difficult it was to keep a tight ship. The careful coordination required to map underwater terrain could sometimes lead to a stressful environment for team members, who might have different understandings of which tasks must be completed in spontaneously …
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Learning by doing is the best way to master essential skills for becoming a machine learning engineer. Instead of just focusing on simple classification and regression models. In this blog, we will focus on advanced machine learning projects that will impact your resume and attract recruiters and hiring managers. We will learn about computer vision …
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Self-supervised features are typically used in place of filter-bank features in speaker verification models. However, these models were originally designed to ingest filter-banks as inputs, and thus, training them on self-supervised features assumes that both feature types require the same amount of learning for the task. In this work, we observe that pre-trained self-supervised speech …
The Cohere Rerank 3 Nimble foundation model (FM) is now generally available in Amazon SageMaker JumpStart. This model is the newest FM in Cohere’s Rerank model series, built to enhance enterprise search and Retrieval Augmented Generation (RAG) systems. In this post, we discuss the benefits and capabilities of this new model with some examples. Overview …
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It’s one of the best times of the year to score a new mattress. Here are all the best deals (plus some exclusive sale codes) to snag ahead of the long weekend.
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Preparing categorical data correctly is a fundamental step in machine learning, particularly when using linear models. One Hot Encoding stands out as a key technique, enabling the transformation of categorical variables into a machine-understandable format. This post tells you why you cannot use a categorical variable directly and demonstrates the use One Hot Encoding in …
Read more “One Hot Encoding: Understanding the “Hot” in Data”