In the evolving landscape of artificial intelligence (AI), the assumption that more data lead to better models has driven unchecked reliance on synthetic data to augment training datasets. Although ...
Explore the challenges sponsors and CROs face in maintaining clinical reference data, uncover the hidden costs of traditional upkeep models, and see how integrated data solutions can streamline ...
Former U.S. chief data scientist warns that Trump is suppressing, altering, and dismantling data essential to public safety ...
As AI becomes more pervasive, the challenge for business leaders is not to outpace technology, but to elevate it.
Patients with polycythemia vera (PV) taking the investigational therapy rusfertide were able to largely maintain hematocrit control and avoid the need for phlebotomy over 52 weeks, according to ...
Global programs encounter difficulties when they rush their deployment. They succeed when they take the time to align and ...
BHUBANESWAR: Chairman of Telecom Regulatory Authority of India (TRAI) Anil Kumar Lahoti on Thursday said India continues to ...
Ecolab's Tim Cassidy speaks on the importance of direct-to-chip liquid cooling in data centers and how its 3D Trasar ...
Data engineering is the gritty, often unglamorous work that underpins every AI model, every dashboard, and every strategic data driven decision. For years, we treated our data lakes like giant, messy ...
A few years ago, data centers seemed like something purely technical and invisible - infrastructure hidden deep in the ...
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