AI (Artificial Intelligence) refers to the simulation of human intelligence in machines or computer systems. It involves the development of algorithms, software, and hardware that enable computers and machines to perform tasks that typically require human intelligence. These tasks include problem-solving, learning, reasoning, perception, understanding natural language, and making decisions.

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

How Our AI Contributed to NASA’s Artemis Missions

NEC Laboratories America’s AI research played a role in NASA’s Artemis missions, helping analyze complex spacecraft data at scale. Our System Invariant Analysis Technology enables faster insights, improved anomaly detection, and greater confidence in mission readiness for deep space exploration.

Beyond Explainability: How We Are Redefining Interpretability in AI

AI interpretability has long been the focus, but what if it’s only part of the story? New research introduces model semantics, a framework for understanding what AI systems truly represent and how their internal structures connect to real-world phenomena.

NeurIPS 2025 in San Diego from Nov 30th to Dec 5th, 2025

NEC Laboratories America is heading to San Diego for NeurIPS 2025, where our researchers will present cutting-edge work spanning optimization, AI systems, language modeling, and trustworthy machine learning. multi-agent coordination, scalable training, efficient inference, and techniques for detecting LLM-generated text.

Graph Neural Networks, Explained: Our Role in the Future of AI

NEC Laboratories America (NECLA) is advancing the frontier of Graph Neural Networks (GNNs), a transformative AI technology that processes complex, interconnected data. Through innovations like PTDNet for robust learning, novel frameworks for explainability, StrGNN for anomaly detection in dynamic graphs, and GERDQ for calibration with out-of-distribution nodes, NECLA is addressing critical challenges in GNN development. These breakthroughs have real-world implications in fields such as cybersecurity, bioinformatics, and recommendation systems, positioning NECLA as a leader in the evolution of graph-based AI.

Shaping the Future with Responsible AI, Collaboration, and Disruption

Chris White, President of NEC Laboratories America, reflects on the lab’s mission to build responsible, human-centered technology—from AI to streetscape innovation—that tackles real-world challenges. In recent keynotes and interviews, he’s emphasized the power of collaboration, the importance of designing AI as a tool that empowers (not replaces), and the discipline required to scale truly disruptive ideas. He’s also shared thoughts on using digital tools for sustainability, such as optimizing global water systems, and the need for cooperative decision-making in complex environments like supply chains. Through it all, he reminds us: real innovation isn’t about flashy tech—it’s about solving meaningful problems, at scale, with intention and integrity.

NEC Labs America Attends the 39th Annual AAAI Conference on Artificial Intelligence #AAAI25

Our NEC Lab America team attended the Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI-25), in Philadelphia, Pennsylvania at the Pennsylvania Convention Center from February 25 to March 4, 2025. The purpose of the AAAI conference series was to promote research in AI and foster scientific exchange between researchers, practitioners, scientists, students, and engineers.

NEC Labs America Team Attending NeurIPS24 in Vancouver

NEC Labs America is proud to attend NeurIPS 2024 in Vancouver, Canada from December 10-15. Zachary Izzo will present Subgroup Discovery with the Cox Model, Shaobo Han will present VB-LoRA: Extreme Parameter Efficient Fine-Tuning with Vector Banks and Jonathan Warrell will present Discrete-Continuous Variational Optimization with Local Gradients.

Introducing the Trustworthy Generative AI Project: Pioneering the Future of Compositional Generation and Reasoning

We are thrilled to announce the launch of our latest research initiative, the Trustworthy Generative AI Project. This ambitious project is set to revolutionize how we interact with multimodal content by developing cutting-edge generative models capable of compositional generation and reasoning across text, images, reports, and even 3D videos.

The Evolution of Disciplines: From Experimental Roots to Theoretical Frameworks

Chris White discusses the evolution of scientific disciplines, which often begin with exploration driven by curiosity and experimentation. As fields grow in complexity and cost, they shift to theoretical frameworks that optimize research. This transition is crucial for sustainable progress. Currently, AI and ML remain largely experimental, highlighting the need for theoretical foundations to ensure development.