Chris White Interviewed By Mike Vizard on Techstrong.AI

September 30, 2023||inMedia|tagschris white, chris white media

In this excellent Techstrong.ai videocast, Michael Vizard interviews our Christopher White, President of NEC Labs America, about #AI and its future. They discuss generative AI, its current hype, its potential impact on content creation and the augmentation of human abilities. Chris emphasizes that generative AI systems are not “thinking machines” but tools to enhance human capabilities. Chris highlights the need for a better fundamental understanding of AI systems and the shift toward “invisible AI” that optimizes and predicts individual needs. He advises organizations not to get overwhelmed by AI hype but to identify areas where AI can enhance their operations and business processes.

Watch: https://lnkd.in/eYffyX6A

Chris White Interviewed By Mike Vizard on Techstrong.AI

Read more blog posts

NEC Labs America Joins CS3 Advisory Board to Advance Smart Streetscapes

NEC Labs America Joins CS3 Advisory Board to Advance Smart Streetscapes

NEC Laboratories America has joined the Center for Smart Streetscapes (CS3) Advisory Board, a National Science Foundation–funded initiative advancing urban innovation through technology, data, and design. As a leader in AI, computer vision, and edge computing, NEC Labs America will collaborate with researchers, civic leaders, and industry partners to develop intelligent infrastructure that enhances safety, accessibility, and efficiency in public spaces.
Read more
Graph Neural Networks Explained Our Role in the Future of AI

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.
Read more