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Abhik Sarkar

Director of Machine Learning at Cloudastructure, Inc.
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Abhik Sarkar is Director of Machine Learning at Cloudastructure and a former analyst for Deloitte. He has an engineering degree from the National Institute of Raipur and a certification from Stanford in Machine Learning.

  • Synthetic Data: The Future of AI Training
    Abhik confirms the trend, noting benefits like "data availability, bias mitigation, and cost-effectiveness." He warns of potential biases and hallucinations but highlights its role in fairer AI systems. Companies like Amazon and Tesla leverage it, offering CIOs cost-effective scaling and accelerated AI development.
  • Zero-Shot Learning: Revolutionizing AI with Intuition
    Cloudastructure's leaders highlight zero-shot learning's adaptability and reduced data needs. Despite lower accuracy and complexity challenges, it excels in efficient AI annotation, transforming object detection processes.
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  • "Historical parallels exist between the Ottoman Empire's approach to the printing press and the modern closed AI system. In the 15th century, the Ottoman Empire, wary of the printing press's potential to spread dissent and challenge authority, heavily restricted its use. This decision, while intended to maintain societal stability, ultimately hindered intellectual and technological progress within the empire.

    Today, we see a similar dynamic unfolding in the realm of artificial intelligence. Closed AI systems, tightly controlled by corporations or governments, echo the Ottoman approach."

    A.I. Business August 22,2024

  • "Humans provide an essential safety net, offering judgment, intuition and domain expertise that can catch issues AI might miss, given the black box nature of current deep learning models and the risk of unintended biases from underlying data."

    Humans in AI: The necessity for human-in-the-loop (HILT) Security Magazine June 2024