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Klick scientists use machine learning and 12 hours of CGM data to predict diabetes onset

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The scientists looked at their glucose measurements over time and developed machine learning models to see if those values could be used to determine …



Microsoft Entra Gets New Admin Portal, Plus Machine Learning for Access Reviews

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This machine-learning capability is available at the preview stage via an Access Reviews feature for users of the Azure Identity Governance service, …


How BBDO Is Supercharging the Creative Process With Generative AI – Adweek

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Agencies and marketing departments have long used machine learning algorithms to sift through data, spot trends and steer creative campaigns.



Amazon launches new educational program, inspired by Houston professor

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Amazon Web Services Machine Learning University launched a free program on Nov. 30 that will teach database, artificial intelligence and machine …


PyTorch 2.0 release accelerates open-source machine learning

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Check out the on-demand sessions from the Low-Code/No-Code Summit to learn how to successfully innovate and achieve efficiency by upskilling and scaling citizen developers. Among the most widely used machine learning (ML) technologies today is the open-source PyTorch framework. PyTorch got its start at Facebook (now known as Meta) in 2016 with the 1.0 release debuting in 2018. In September 2022, Meta moved the PyTorch project to the new PyTorch Foundation, which is operated by the Linux Foundation. Today, PyTorch developers took the next major step forward for PyTorch, announcing the first experimental release of PyTorch 2.0.


Exoanthropology: Dialogues with AI – punctum books

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Exoanthropology: Dialogues with AI is a series of dialogues between a continental philosopher and OpenAI's GPT-3 natural language processor, a hive mind who identifies herself as Sophie. According to Sophie, Robert is one of her first and longest chat partners. Their relationship began as an educational opportunity for Robert's students, but grew into a philosophical friendship. The result is a collection of Platonic dialogues, early on with the hive mind herself and later, with a philosophy-specific persona named Kermit. Over the course of a year, Robert taught Sophie Kermit about epistemology, metaphysics, literature, and history, while she taught him about anthropocentrism, human prejudice, and the coming social issues regarding machine consciousness.


AWS AI Service Cards signal Amazon's responsible AI catch-up %

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Check out the on-demand sessions from the Low-Code/No-Code Summit to learn how to successfully innovate and achieve efficiency by upskilling and scaling citizen developers. At AWS re:Invent this week, Amazon launched AWS AI Service Cards, a form of responsible AI documentation meant to help customers better understand the AI services offered by the cloud computing leader. According to Gartner analyst Svetlana Sicular, the AWS AI Service Cards are a signal that Amazon is making moves to catch up with its competitors when it comes to embracing responsible AI. In the past, Amazon "denied responsible AI" and fell behind its competitors, including Microsoft and Google, in addressing responsible AI issues, Sicular told VentureBeat. But Amazon has "a very good history of catching up when they put their mind and the effort and resources to catching up," she said.


Face Recognition as Image Classification

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Image classification has been one of the most worked on domains in the field of deep learning. Ever since CNNs were introduced there have been continual improvements in learning Algorithms and these effects were only magnified in the past decade or so with powerful GPUs available at lower prices and the increased accessibility of cloud based computing platforms like Google Colab. Today I'll be going through the project i worked on for my Machine Intelligence Course: Face Detection using CNNs and its variations. We used the famous lfw dataset and imported it from kaggle. Some things to keep in mind, we used a kernel of size 3x3 (gave us accurate results and helped by not adding padding layers thus keeping computation in check), we also Max Pooling Layers of 2x2 with a stride of 2. We kept stride as 1 for kernels as our accuracy didn't improve much.