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 ...
Why it's essential to combine sign-off accuracy, iterative feedback, and intelligent automation in complex designs.
Morning Overview on MSNOpinion
Firms hire AI specialists over data engineers, and it’s backfiring
Corporate leaders are racing to hire artificial intelligence talent, convinced that a few high-profile specialists can ...
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 ...
From Caseload to Health System Change: Patterns and Outcomes of Pediatric ENT Emergencies in Burundi
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 ...
Copyright 2025 The Associated Press. All Rights Reserved. Copyright 2025 The Associated Press. All Rights Reserved. This undated photo provided by California ...
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 ...
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