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Using artificial intelligence, researchers show how γ-secretase recognizes substrates - an important advance for fundamental and translational research. The γ-secretase enzyme is capable of cleaving ...
A major scientific advance in protein modeling developed by Microsoft Research AI for Science, has been published in Science.
Using a high-throughput fluorescence microscopy system and machine learning algorithms, oxidative stress-related changes in ...
Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...
In this paper, we introduce a masked autoencoder (MAE) based traffic transformer with multi-level flow representation to tackle these problems. To model raw traffic data, we design a formatted traffic ...
Learn how to implement, automate, and manage structured data across thousands of enterprise pages to boost SEO performance, visibility, and rich results.
A Hybrid-Feature-Based Autoencoder Model for Predicting Traffic Flow to Accelerate Ambulance Medical Response Time in Internet of Vehicles Traffic congestion during ambulance travel can delay medical ...
Google retires seven structured data features including Book Actions, Course Info, and Claim Review to streamline search results. Rankings unaffected.
Critical zero-click AI vulnerability EchoLeak exposed sensitive Microsoft 365 Copilot data; Microsoft patched it to prevent data leaks.
A new attack dubbed 'EchoLeak' is the first known zero-click AI vulnerability that enables attackers to exfiltrate sensitive data from Microsoft 365 Copilot from a user's context without interaction.
Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire ...