Abstract: Active learning significantly reduces labeling costs in machine learning systems, but its dynamic nature exposes it to unique vulnerabilities, particularly to data poisoning attacks. In this ...

Uber’s Ceilometer framework automates infrastructure performance benchmarking beyond applications. It standardizes testing ...

Document intelligence is no longer a feature; it is infrastructure. In payments, lending, and digital banking, documents ...

Corporate leaders are racing to hire artificial intelligence talent, convinced that a few high-profile specialists can transform their businesses overnight. Instead, many are discovering that without ...

Our study assessed the impact of using Control-IQ technology, an automated insulin delivery system, on achievement of a Healthcare Effectiveness Data and Information Set (HEDIS) quality measure ...

Pediatric ENT emergencies pose unique risks because small anatomic airways can make minor pathology life-threatening in minutes. The WHO pediatric emergency care framework underscores the urgency of ...

Abstract: The need for effective Extract, Transform, Load (ETL) technologies that can manage the growing volumes of both structured and unstructured data in information lakehouse architectures is ...

It stands to reason that if you have access to an LLM’s training data, you can influence what’s coming out the other end of the inscrutable AI’s network. The obvious guess is that you’d need some ...

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As introduced in #1704, we need to pass a callback to create and spawn an ingestion job to adapt different type of job creation. This design complicates things. We should avoid using the callback in a ...