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Subscribe to our monthly newsletter, full of our latest research and news!

Delivering high-impact
technology research
Our mission is to generate significant new knowledge
and create innovative solutions.
Data Science & System
Security
We aim to build novel big-data solutions and service
platforms to simplify computer systems management.
We also develop new information technology that
supports innovative applications, from big data
analytics to the Internet of Things.
Integrated Systems Banner Small 2Integrated SystemsOur goal is to innovate, design, evaluate and deliver parallel computing systems architectures for high-performance, energy-efficient enterprise computing.
Machine Learning Banner 3Machine LearningWe have been at the forefront of developments in such areas as deep learning, support vector machines and semantic analysis for over a decade.
Media Analytics Banner 2Media AnalyticsOur team overcomes fundamental challenges in computer vision and addresses key needs in mobility, security, safety and socially-relevant AI.
Optical Networking and Sensing Banner 5Optical Networking & SensingFrom the Internet backbone to the home, optics and photonics form the foundation of modern ICT infrastructure.

Link to: News

NEWS

Training Small AI Models Without Blindly Trusting Big Teacher Models

Training Small AI Models Without Blindly Trusting Big Teacher Models

May 27, 2026
Machine learning is shifting from learning from data alone to learning from both data and teacher models. Beta-KD uses uncertainty-aware Bayesian weighting to train compact multimodal AI without blindly trusting every teacher signal.
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https://www.nec-labs.com/wp-content/uploads/2026/05/Training-Small-AI-Models-Without-Blindly-Trusting-Big-Teacher-Models.jpg 628 1200 NEC Labs America https://www.nec-labs.com/wp-content/uploads/2025/08/NEC-Laboratories-America-Logo-Aug-2025-2.jpg NEC Labs America2026-05-27 12:37:532026-05-27 13:33:57Training Small AI Models Without Blindly Trusting Big Teacher Models
How Rule-Driven Routing Makes Retrieval-Augmented Generation Smarter

How Rule-Driven Routing Makes Retrieval-Augmented Generation Smarter

May 13, 2026
Most retrieval-augmented generation systems stop at documents, ignoring the relational databases that power finance, healthcare, and research. Our researchers built a rule-driven framework that learns which source to query for each question, delivering better answers at lower computational cost.
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https://www.nec-labs.com/wp-content/uploads/2026/05/How-Rule-Driven-Routing-Makes-Retrieval-Augmented-Generation-Smarter.jpg 628 1200 NEC Labs America https://www.nec-labs.com/wp-content/uploads/2025/08/NEC-Laboratories-America-Logo-Aug-2025-2.jpg NEC Labs America2026-05-13 19:54:092026-05-13 19:54:09How Rule-Driven Routing Makes Retrieval-Augmented Generation Smarter
Making Video AI Fast Enough for the Real World

Making Video AI Fast Enough for the Real World

May 4, 2026
State-of-the-art video models are accurate but too slow for live deployment. This work transfers their knowledge into causal streaming models that process video frames in real time, achieving 4x lower latency with competitive accuracy across action detection and pedestrian intent tasks.
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https://www.nec-labs.com/wp-content/uploads/2026/05/Making-Video-AI-Fast-Enough-for-the-Real-World.jpg 628 1200 NEC Labs America https://www.nec-labs.com/wp-content/uploads/2025/08/NEC-Laboratories-America-Logo-Aug-2025-2.jpg NEC Labs America2026-05-04 12:15:292026-05-04 16:12:19Making Video AI Fast Enough for the Real World
Link to: Events

EVENTS

CLEO 2026

Ezra Ip Presents at CLEO 2026 in Charlotte, NC on May 18th

May 12, 2026
Senior Researcher Ezra Ip has been invited to present Sensors Based on Forward Transmission using the Telecom Infrastructure at CLEO 2026 in Charlotte, NC, on Monday, May 18th, from 5:30-6:00pm. He explores a compelling frontier: using existing telecom networks as environmental sensors. He will present a review of environmental sensing using telecom infrastructure with sensors that measure accumulated phase and SOP.
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https://www.nec-labs.com/wp-content/uploads/2026/05/CLEO-2026.jpg 628 1200 NEC Labs America https://www.nec-labs.com/wp-content/uploads/2025/08/NEC-Laboratories-America-Logo-Aug-2025-2.jpg NEC Labs America2026-05-12 14:06:232026-05-27 16:01:16Ezra Ip Presents at CLEO 2026 in Charlotte, NC on May 18th
CVPR 2026 Revised

NEC Labs America Attends CVPR 2026 in Denver, CO June 3-7, 2026

May 8, 2026
NEC Labs America is heading to Denver for CVPR 2026, one of the most prestigious gatherings in computer vision, machine learning, and pattern recognition. The IEEE/CVF Conference on Computer Vision and Pattern Recognition brings innovators from around the world to share breakthroughs.
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https://www.nec-labs.com/wp-content/uploads/2026/05/CVPR-2026-Revised.jpg 628 1200 NEC Labs America https://www.nec-labs.com/wp-content/uploads/2025/08/NEC-Laboratories-America-Logo-Aug-2025-2.jpg NEC Labs America2026-05-08 11:19:252026-05-27 16:00:24NEC Labs America Attends CVPR 2026 in Denver, CO June 3-7, 2026
Kunal April

Future of Cloud Computing with GenAI: Kunal Rao at Cloud Computing 2026

April 20, 2026
Generative AI is transforming cloud computing. At Cloud Computing 2026, Kunal Rao will chair the GenAI4Cloud track and deliver a keynote on software engineering in the AI era, exploring how AI agents, LLMs, and intelligent infrastructure are redefining the cloud stack.
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https://www.nec-labs.com/wp-content/uploads/2026/04/Kunal-April-1.jpg 628 1200 NEC Labs America https://www.nec-labs.com/wp-content/uploads/2025/08/NEC-Laboratories-America-Logo-Aug-2025-2.jpg NEC Labs America2026-04-20 14:45:452026-04-20 16:17:10Future of Cloud Computing with GenAI: Kunal Rao at Cloud Computing 2026

AREAS OF RESEARCH

Research

We take a multidisciplinary approach to develop innovative solution for a broad range of research areas. Importantly, we engage with NEC business units to use these disruptive solutions to create key differentiation in NEC products and platforms, opening new markets and providing a competitive advantage to NEC Corporation.

Data Science and System Security

We aim to build novel big-data solutions and service platforms to simplify complex systems management. We also develop new information technology that supports innovative applications, from big data analytics to the Internet of Things.

Integrated Systems

We innovate, design and prototype high-performance intelligent distributed systems, applications and services on communication networks like 5G and beyond. We develop next generation wireless technologies for sensing the world and improving communication networks.

Machine Learning

Machine learning is the key technology for data analytics and artificial intelligence. Recent progress in this field opens opportunities for a wide variety of new applications. As leaders in the industry, we develop innovative technologies which are integrated into NEC’s products and services.

We solve fundamental challenges in computer vision, with a focus on understanding and interaction in 3D scenes, representation learning in visual and multimodal data, learning across domains and tasks, as well as responsible AI.

Optical Networking and Sensing

In the optical networking and sensing department, we are leading world-class optics research into the next-generation of optical networks and sensing systems that will power ICT-based social solutions for years to come.

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We aim to develop tangible solutions that address real-world challenges and bring about positive change. With a dedicated team of experts, we delve into cutting-edge fields such as artificial intelligence, machine learning, data science, integrated systems, media analytics, and optical networking.

ABOUT US

NEC Laboratories America, Inc. (NEC Labs) is the US-based center for NEC Corporation’s global network of corporate research laboratories. We aspire to perform problem-driven research motivated by fundamental human needs with the intent to remove critical barriers and open new commercial markets. Our diverse research groups collaborate with industry, academia and governments to provide disruptive solutions to complex problems. A leader in the integration of IT and network technologies with more than 100 years of expertise, NEC provides a combination of products and solutions that cross-utilize the company’s experience and global resources to meet the complex and ever-changing needs of its customers.

For more information, visit NEC.

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About Us

NEC Laboratories America, Inc. (NEC Labs) is the US-based center for NEC Corporation’s global network of corporate research laboratories. Our diverse research groups collaborate with industry, academia and governments to provide disruptive solutions to complex problems. A leader in the integration of IT and network technologies with more than 100 years of expertise, NEC provides a combination of products and solutions that cross-utilize the company’s experience and global resources to meet the complex and ever-changing needs of its customers.

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Recent Publications

  • Open-SAT: LLM-Guided Query Embedding Refinement for Open-Vocabulary Object Retrieval in Satellite Imagery
  • Event Classification by Physics-Informed Inpainting for Distributed Multichannel Acoustic Sensor with Partially Degraded Channels
  • Learning to Tune OpticalWANs: A Field Deployment of Noise Models in Optical Networks
  • Mix-Clap: Adaptive Fusion of Knowledge-Distilled Audio Embeddings for Noise-Aware Audio-Language Models
  • GNPy as a Benchmark for Open and Disaggregated Optical Networks
  • Quantitative Bounds for Length Generalization in Transformers
  • Agentic Placement of Microservices on the Computing Continuum
  • Learning to Route: A Rule-Driven Agent Framework for Hybrid-Source Retrieval-Augmented Generation
  • Uncertainty-Guided Latent Diagnostic Trajectory Learning for Sequential Clinical Diagnosis
  • HorizonWeaver: Generalizable Multi-Level Semantic Editing for Driving Scenes
  • Uncertainty-Aware Knowledge Distillation for Multimodal Large Language Models
  • Leveraging Deployed Telecom Cables for Distributed Fiber Sensing Topologies and Applications
  • DeepSieve: Information Sieving via LLM-as-a-Knowledge-Router
  • Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation
  • Multi-Agent Procedural Graph Extraction with Structural and Logical Refinement
  • Interpretability and Implicit Model Semantics in Biomedicine and Deep Learning
  • Frequency-Division Multiplexed Time-Interleaved Phase-OTDR with Nested Phase References
  • Field study on phase and polarization dynamics of deployed anti-resonant hollow core fiber cable for vibration sensing
  • Agnostic QoT Probing via Receiver-Side ASE Loading in a Production Metro for Transparent Datacenter Exchange
  • Mobile Orbital Domain-based Hierarchical Routing in Satellite Networks
  • Image-Specific Adaptation of Transformer Encoders for Compute-Efficient Segmentation
  • Logical Guidance for the Exact Composition of Diffusion Models
  • HorizonForge: Driving Scene Editing with Any Trajectories and Any Vehicles
  • Field Trial of High-Sensitivity Forward-Transmission Sensing for Real-World Event Detection Over Live Urban Fiber Networks
  • Manhole Localization and Condition Diagnostics in Telecom Networks Using Distributed Acoustic and Temperature Sensing

Events

  • NEC Labs America Attends CVPR 2026 in Denver, CO June 3-7, 2026
  • Ezra Ip Presents at CLEO 2026 in Charlotte, NC on May 18th
  • Future of Cloud Computing with GenAI: Kunal Rao at Cloud Computing 2026
  • Eric C. Blow to Deliver Photonic AI Keynote at COOL Chips 29 in Tokyo on April 17th
  • Yangmin Ding Presents at the 5th Workshop on Foundation Models of the Electric Grid on March 18th
  • NEC Labs America Attending OFC 2026 Los Angeles, March 15-19
  • NeurIPS 2025 in San Diego from Nov 30th to Dec 5th, 2025
  • Eric Blow Presents at the IEEE Photonics Conference Singapore on November 10th & 13th

News

  • Training Small AI Models Without Blindly Trusting Big Teacher Models
  • Open-SAT: LLM-Guided Query Embedding Refinement for Open-Vocabulary Object Retrieval in Satellite Imagery
  • How Rule-Driven Routing Makes Retrieval-Augmented Generation Smarter
  • Making Video AI Fast Enough for the Real World
  • How Our AI Contributed to NASA’s Artemis Missions
  • Rethinking Molecular Drug Design: From Generation to Control
  • Driving the Future of Scene Editing with HorizonForge
  • Beyond Explainability: How We Are Redefining Interpretability in AI
  • The Best April Fools’ Day Hoaxes by Companies
  • Influential NEC Researchers in the United States Who Helped Shape Modern Computing
  • Celebrating the Women of NEC Laboratories America
  • Honoring Black Innovators Who Shaped Technology
  • NEC Laboratories America 2025: A Year of Disruptive Innovation
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