NTT Scientists Contribute Fifteen Research Papers to NeurIPS 2025

O que extraímos desta fonte

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• AI is becoming ubiquitous, but how these computational engines actually work remains—to a surprising degree—a mystery, which is why our scientists keep probing with fundamental questions

  80% confidence

• Standard SAEs architectures embed implicit geometric assumptions that not only reveal concepts inside models but also shape what concepts can be discovered

  80% confidence

• With the EU AI Act mandating watermarking, the topic has become increasingly urgent, and even state-of-the-art watermarking schemes can be reverse engineered, revealing significant risks for enterprises

  80% confidence

• Researchers must keep pace with operational challenges in AI development

  80% confidence

• Understanding training dynamics in in-context learning may enable engineering reliable ICL behavior

  80% confidence

• The watermarking vulnerability findings expose a foundational vulnerability in today's AI trust and traceability mechanisms

  80% confidence

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