Machine Learning
We have been at the forefront of machine learning developments, including deep learning, support vector machines, and semantic analysis, for over a decade.
NEC Laboratories America
Link to: ML Projects
PROJECTS
Link to: ML People
PEOPLE
Link to: ML Publications
PUBLICATIONS
Link to: ML Patents
PATENTS
As leaders in the industry, we develop innovative technologies integrated into NEC’s products and services. Machine learning is the critical technology for data analytics and artificial intelligence. Recent progress in this field opens opportunities for various new applications.
Deep learning will maintain prominence with more robust model architectures, training methods, and optimization techniques. Enhanced interpretability and explainability will be imperative, especially for AI systems in critical domains like healthcare and finance. Addressing bias and ensuring fairness in AI algorithms will be a top priority, leading to the development of tools and guidelines for ethical AI. Federated learning, quantum computing’s potential impact, and the growth of edge computing will diversify ML applications.
Natural language processing will continue to advance, driving progress in conversational AI, while healthcare, finance, education, and creative industries will witness profound AI integration. As quantum computing matures, it could revolutionize machine learning, while edge computing and federated learning will expand AI’s reach across various domains.
Our machine learning research will produce innovation across industries, including more accurate medical diagnoses, safer autonomous systems, and efficient energy use while enabling personalized education and AI-generated creativity.
Want to learn more about our machine learning department?
Meet our team of experts, check out our blog posts, or read our latest publications.
Join Us
Are you interested in joining us? We seek the next generation of thought leaders in machine learning for researcher positions. Outstanding applicants pursuing a career in all areas of machine learning are encouraged to visit our careers page to learn more and to apply for our available positions.
Summer 2026 Internship Applications are now closed.
Exciting internship opportunities for Summer 2027 will be available on our internship page this fall. We are looking for students pursuing advanced degrees in Computer Science and Electrical Engineering. Internships are typically 3 months long during the summer. The benefits of working for us include the opportunity to quickly join a project team applying cutting-edge technology to industry-leading concepts.
To apply for a Summer Internship, visit our Internship page.
Featured Machine Learning Research Projects
Link to: Human Collaborative LLM Agent
Human Collaborative LLM Agent
This research project is at the forefront of integrating advanced Large Language Models (LLMs) into the process of deriving actionable insights from vast and complex document repositories. This initiative focuses on creating a system that allows users to interact with the LLM, guiding its analysis and refining the results based on the user’s expertise and evolving needs.
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Link to: Physics Informed Machine Learning
Physics Informed Machine Learning
Since 2019, the parameters of large deep learning models have increased by over 300 times every 18 months. However, future ML progress cannot continue simply by using more data or creating larger models because the growing gap between model demand and resource supply is not sustainable. In addition, for many problems in practice, e.g., predicting protein-drug interactions, catalyst discovery, and advanced material design, we don’t have a huge amount of training data to build big models.
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