"The Future of AI is Human" - CTO Interview on Quantum-Inspired Architecture
In the latest edition of TechTalk 2025's AI Summit, EGGYTIA's CTO
"We're not just optimizing AI - we're reimagining the fundamental architecture that powers it. Our quantum patterns approach creates 93x faster training times with 72% less energy." -, CTO of EGGYTIA
Interview available in full
version of the TechTalk 2025 recording
45:22
CTO, EGGYTIA
Chief Technology Officer @ EGGYTIA
With over 20 years in AI research and 15+ patents in machine learning architectures, Dr. Smith leads EGGYTIA's quantum-inspired computing initiatives. She has appeared in numerous TED Talks and featured in Nature AI for her work on energy-efficient neural networks.