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.
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.
Apply for a Summer 2024 Internship
Applications for Summer 2024 Internships are now open. Visit our Internship page to learn more about our programs and intern applicants interested in working with our Machine Learning team can apply here.
Featured Machine Learning Research Projects
Link to: eigen Video Understanding
eigen Video Understanding
Aiming to achieve near-human video understanding, in this project we analyze several gigabytes of spatiotemporal data to perform action recognition, multi-person tracking, object permanence and video reasoning. eigen has built a scalable video-understanding platform for long-form video reasoning that scales to new environments and camera angles without any re-training.
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Link to: Semantic Analysis & Reasoning
Semantic Analysis & Reasoning
We develop several types of algorithms for high-level semantic analysis, which are used for tasks such as scene interpretation, document retrieval and question answering. For text interpretation, a syntactic analysis extracts relevant elements followed by concept interpretation. To combine different data types, a data-specific module first generates metadata representations that are integrated into a deep learning network.
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Link to: Digital Pathology
Digital Pathology
Accurate and fast diagnosis based on histological samples is crucial for prevention, early detection and treatment of cancer. We have developed a digital pathology system that uses machine learning algorithms to analyze images of tissue to assist in cancer diagnosis. This system is used in major diagnostics laboratories in Japan for quality control
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