First, institutions must ensure that synthetic datasets are continuously recalibrated against fresh, real-world evidence. The world moves, behaviors shift, economies cycle and disease patterns evolve.
One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...
There are hundreds of cell types in the human body, each with a specific role spelled out in their DNA. In theory, all it ...
For safety-critical and highly regulated situations such as advanced driver assistance systems (ADAS) and automated driving ...
On an episode of the "20VC" podcast released last week, Matt Fitzpatrick, the CEO of Invisible Technologies, said that one of ...
A new framework restructures enterprise workflows into LLM-friendly knowledge representations to improve customer support automation. By introducing intent-based reasoning formats and synthetic ...
The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...
Founded in 2025, DoppelIQ builds AI-powered digital consumers for B2C brands, achieving 80–95% accuracy in predicting ...
In just three months, Phlow and Enveda generated and analyzed nearly 20,000 unique reactions, creating one of the largest high-quality datasets of its kind. The resulting uniform dataset is ...
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