Chris White Interviewed By Mike Vizard on Techstrong.AI
September 30, 2023|byNEC Labs America|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

Read more blog posts

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 Artificial Intelligence (AI) and foster scientific exchange between researchers, practitioners, scientists, students, and engineers across the entirety of AI and its affiliated disciplines. Our team presented technical papers, led special tracks, delivered talks on key topics, participated in workshops, conducted tutorials, and showcased research in poster sessions. The team greeted visitors at Booth #208 and was there Thursday through Saturday.

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.