Lab overview
Step into the extraordinary world of limitless possibilities with the Software and Data Systems Research Lab at Nokia Bell Labs! Our global team is on a quest to revolutionize the way you live, explore, and interact with cutting-edge software and data solutions. Imagine a future where innovation knows no bounds and privacy and safety are seamless companions on your journey.
Whether it is navigating the uncharted realms of multi-sensory reality, unlocking the potential of artificial intelligence, or ensuring the privacy of your digital existence, we are here to redefine the very fabric of modern living.
Embracing the power of Web3 and decentralized technologies, we envision a future where individuals have full control over their data, where transparency reigns supreme, and where every interaction becomes a seamless, secure experience. Join us on this transformative journey as we together shape a tomorrow that is not just innovative, but empowers and benefits everyone.
Research labs
We study emerging mobile, IoT, and wearable devices, focusing on the system and algorithmic challenges of building multi-sensory platforms that enhance human behavior.
Building a federated data fabric for real-time processing in Industry 4.0, enabling seamless analytics and trusted ML model distribution.
Accelerate the programmability of services through pair programming assistants and live programming principles.
The UNIX Game is a fun programming contest where players solve coding challenges by creating "pipelines" using UNIX text processing utilities.
Nokia is developing a seamless connectivity solution for private wireless networks, enabling secure, efficient ad-hoc connections for visitors and improving enterprise…
We’re advancing Zero-Knowledge Proofs (ZKPs) for scalable, privacy-preserving collaboration in trustless environments, enabling secure transactions in Industry 4.0.
The Autonomous Network Operations (ANO) project at Nokia Bell Labs leverages AI and ML to automate network management, improving efficiency and reducing OPEX costs.
Intelligent automation and self-healing for networks
Bell Labs Inferencing as a Service
The research focuses on creating an ML and AI-based platform for network error handling, utilizing a multi-protocol analyzer to detect anomalies and aid troubleshooting.
We are rethinking data and compute design to enable ad hoc, trustworthy collaborations, advancing Web3 and Privacy-Enhancing Technologies for scalable, verifiable systems.
Delfin-NG is a distributed platform that optimizes GPU resource utilization across enterprise environments, enabling efficient use for ML and video processing workloads.
MLaaS is a flexible MLOps platform for efficient ML model deployment, monitoring, and drift detection, optimizing performance across various real-world applications.
Techniques for Machine Learning training that safeguard data privacy as well as model confidentiality.
Our research enables trustless data and model sharing by leveraging verifiable provenance and computations, facilitating collaboration in Industry 4.0 ecosystems and private…
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