NTT Scientists Contribute Fifteen Research Papers to NeurIPS 2025

SUNNYVALE, Calif. & TOKYO--( BUSINESS WIRE)-- NTT Research, Inc. and NTT R&D, divisions of NTT (TYO:9432), and NTT DATA, Inc. announced that NTT scientists and researchers have contributed to fifteen presentations at this year’s Conference on Neural Information Processing Systems (NeurIPS), a leading machine-learning (ML) and computational neuroscience conference. The eight papers associated with NTT Research mostly address foundational issues. The six papers generated by scientists in various NTT Inc. laboratories focus on system-level and applied-science themes. The paper from NTT DATA highlights the importance of trustworthy AI, directly relevant to enterprise adoption.

One of the three primary annual conferences in ML and AI research, NeurIPS 2025 is taking place Dec. 2-7 at the San Diego Convention Center.

“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,” NTT Research Physics of Artificial Intelligence (PAI) Group Director Hidenori Tanaka said. “At the same time, researchers must keep pace with operational challenges. Work in these domains is well represented at NeurIPS by our colleagues at NTT Inc., NTT DATA and collaborating institutions.”

The largest group of NTT-affiliated papers concern understanding and shaping model behavior, focus areas for the PAI Group. At a high level, these five papers address the question of how models think:

Also at a foundational level, four other papers explored advances in interpretability (understanding the internal mechanisms of complex models) and representation learning (automatic discovery of useful internal features or representations of data.) The papers include:

The next five papers reflect NTT Inc.’s focus on applied science. The first two focus on efficient and distributed AI systems, and the next three on sensing, imaging and applied systems:

Finally, there is the contribution from NTT DATA and other collaborators, which falls under a heading of security, provenance and trustworthiness, topics of keen concern to the enterprise customers of this division of NTT:

“With the EU AI Act mandating watermarking for all AI-generated content, the topic has become increasingly urgent,” said Shayleen Reynolds, NTT DATA director and AI lead. “This work shows that even state-of-the-art watermarking schemes can be reverse engineered, revealing significant risks for enterprises that depend on watermarking for content provenance, plagiarism detection, copyright protection, and output authenticity. The findings expose a foundational vulnerability in today’s AI trust and traceability mechanisms.”

NeurIPS 2025 marks the 39th year of this event. The multi-track interdisciplinary annual meeting includes invited talks, demonstrations, symposia, and oral and poster presentations of refereed papers. Accompanying the conference is a professional exposition focusing on machine learning in practice, tutorials and topical workshops that provide a less formal setting for the exchange of ideas.

About NTT Research

NTT Research opened its offices in July 2019 in Silicon Valley to conduct basic research and advance technologies as a foundational model for developing high-impact innovation across NTT Group’s global business. Currently, four groups are housed at NTT Research facilities in Sunnyvale: the Physics and Informatics (PHI) Lab, the Cryptography and Information Security (CIS) Lab, the Medical and Health Informatics (MEI) Lab, and the Physics of Artificial Intelligence (PAI) Group. The organization aims to advance science in four areas: 1) quantum information, neuroscience and photonics; 2) cryptographic and information security; 3) medical and health informatics; and 4) artificial intelligence. NTT Research is part of NTT, a global technology and business solutions provider with an annual R&D investment of thirty percent of its profits.

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