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Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 1

AWS Machine Learning Blog

Because ML algorithms are often not adequate in protecting the privacy of patient-level data, there is a growing interest among HCLS partners and customers to use privacy-preserving mechanisms and infrastructure for managing and analyzing large-scale, distributed, and sensitive data. [1]. Chaoyang He is Co-founder and CTO of FedML, Inc.,

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TILTomorrow today: dynamic factors predicting changes in intracranial pressure treatment intensity after traumatic brain injury

Flipboard

We extracted all heterogeneous data (2008 pre-ICU and ICU variables) collected from a prospective cohort (n = 844, 51 ICUs) of ICP-monitored TBI patients in the Collaborative European NeuroTrauma Effectiveness Research in TBI study.

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AI-discovered drugs will be for sale sooner than you think

Flipboard

Between 2008 and 2015, many companies focused on AI drug discovery launched, including Evaxion, Exscientia, Recursion, Benevolent AI, and Insilico Medicine. AI, with its powerful algorithms and data-driven approaches, has the potential to revolutionize the process of discovering new drugs.”

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Joshua Walker: Using Data to Improve the Legal System

DataRobot

Computer scientists are also trying to classify data. ‘Is Then we have algorithms, and algorithms are tools for resolving disputes. Joshua even credits a lawyer, Gottfied Wilhelm Leibniz , who created some of the earliest notions that would drive modern computing. “He That is what led Joshua to found Lex Machina in 2008.

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Customizing coding companions for organizations

AWS Machine Learning Blog

This retrieval can happen using different algorithms. He received his PhD in Computer Science from Purdue University in 2008. In the past, Ramesh has provided science leadership in delivering many NLP-based AWS products such as Kendra, Quicksight Q and Contact Lens.

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[Latest] 20+ Top Machine Learning Projects for final year

Mlearning.ai

Read the full article here —  [link] For final-year students pursuing a degree in computer science or related disciplines, engaging in machine learning projects can be an excellent way to consolidate theoretical knowledge, gain practical experience, and showcase their skills to potential employers. Working Video of our App [link] 20.

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Financial text generation using a domain-adapted fine-tuned large language model in Amazon SageMaker JumpStart

AWS Machine Learning Blog

To make things easy, these three inputs depend solely on the model name, version (for a list of the available models, see Built-in Algorithms with pre-trained Model Table ), and the type of instance you want to train on. learning_rate – Controls the step size or learning rate of the optimization algorithm during training.

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