The US Is Sending Money to Countries Devastated by Cyberattacks
The White House is providing $25 million to Costa Rica, after giving Albania similar aid following aggression by hackers linked to Iran.
New chip design to provide greatest precision in memory to date
Everyone is talking about the newest AI and the power of neural networks, forgetting that software is limited by the hardware on which it runs. But it is hardware, says USC Professor of Electrical and Computer Engineering Joshua Yang, that has become “the bottleneck.” Now, Yang’s new research with collaborators might change that. They believe …
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Building a Logistic Regression Classifier in PyTorch
Logistic regression is a type of regression that predicts the probability of an event. It is used for classification problems and has many applications in the fields of machine learning, artificial intelligence, and data mining. The formula of logistic regression is to apply a sigmoid function to the output of a linear function. This article …
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Leveraging transfer learning for large scale differentially private image classification
Posted by Harsh Mehta, Software Engineer, and Walid Krichene, Research Scientist, Google Research Large deep learning models are becoming the workhorse of a variety of critical machine learning (ML) tasks. However, it has been shown that without any protection it is plausible for bad actors to attack a variety of models, across modalities, to reveal …
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Enable predictive maintenance for line of business users with Amazon Lookout for Equipment
Predictive maintenance is a data-driven maintenance strategy for monitoring industrial assets in order to detect anomalies in equipment operations and health that could lead to equipment failures. Through proactive monitoring of an asset’s condition, maintenance personnel can be alerted before issues occur, thereby avoiding costly unplanned downtime, which in turn leads to an increase in …
Announcing new BigQuery inference engine to bring ML closer to your data
Organizations worldwide are excited about the potential of Artificial Intelligence and Machine Learning capabilities. However, according to HBR, only 20% see their ML models go into production because ML often is deployed separately from their core data analytics environment. To bridge this increasing gap between data and AI, organizations need to build massive data pipelines, …
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Google and Replit Join forces to challenge Microsoft in coding tools
Cloud-based coding platform Replit partners with Google Cloud to provide access to Google’s AI and infrastructure — and challenge Microsoft.Read More
Preschoolers prefer to learn from a competent robot than an incompetent human
Researchers found that preschoolers prefer learning from what they perceive as a competent robot over an incompetent human. This study is the first to use both a human speaker and a robot to see if children deem social affiliation and similarity more important than competency when choosing which source to trust and learn from.
Strengthening trust in machine-learning models
Probabilistic machine learning methods are becoming increasingly powerful tools in data analysis, informing a range of critical decisions across disciplines and applications, from forecasting election results to predicting the impact of microloans on addressing poverty.
Training Logistic Regression with Cross-Entropy Loss in PyTorch
Last Updated on March 28, 2023 In the previous session of our PyTorch series, we demonstrated how badly initialized weights can impact the accuracy of a classification model when mean square error (MSE) loss is used. We noticed that the model didn’t converge during training and its accuracy was also significantly reduced. In the following, …
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