Real-world time-to-event detection of immune-related adverse events from electronic health records using clinical natural language processing. Accuracy by cohort, variable, and data processing method.

The value of edge AI within various industries. How edge AI utilizes machine learning. Which hardware works best with edge AI workloads. From smart-home assistants (think Alexa, Google and Siri) to ...

Microsoft has announced and is open-sourcing a new data processing system called Drasi that can detect and react to changes in complex systems. This new project “simplifies the automation of ...

Apache Arrow defines an in-memory columnar data format that accelerates processing on modern CPU and GPU hardware, and enables lightning-fast data access between systems. Working with big data can be ...

Graphics processing units have become much more prominent in recent years because of their ability to perform the complex calculations on large data sets that underpin modern artificial intelligence ...

The lower the uncertainty in solar resource data, the lower the investment costs. IEA PVPS Task 16 has organized and published two benchmarks to make uncertainty of models and data comparable – a ...

Successful businesses don't choose between business intelligence and big data analytics. Instead, they take advantage of each to create a comprehensive data analytics strategy that supports both ...

Doctolib will train AI models with health data in France. Affected individuals can object. Why this could also be conceivable ...

In today's data-driven economy, the ability to effectively manage, integrate, and leverage vast amounts of information is paramount to business success. Yet, many organizations find themselves ...