NeuroNexus 2024 Symposium

Bridging the future of neuromorphic computing and evolutionary AI - May 25-27, San Francisco

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Conference highlights
Keynote Dr. Emily Chen MIT Neural Systems Lab
Workshop AI Hardware Demo Friday 14:00 - 17:00

Conference Highlights

Neuromorphic Breakthroughs

Attend keynote sessions exploring cutting-edge developments in neuromorphic engineering, including real-time adaptive hardware accelerators and evolutionary AI systems.

Hands-On Workshops

Participate in practical sessions on AI hardware prototyping, including bio-inspired neural network design and low-power computing architectures.

Industry Panels

Engage with leading researchers and industry experts in panel discussions about ethical AI and future of computing in healthcare and robotics.

Event Schedule

Day 1: May 25

Workshops
10:00 AM
Intro to Neuromorphic Computing
2:30 PM
AI Hardware Hacking

Day 2: May 26

Keynotes
9:00 AM
The Future of Adaptive Systems
1:30 PM
Ethical AI & Regulatory Frameworks

Day 3: May 27

Networking
11:00 AM
Tech Demo Showroom
4:00 PM
Closing Keynote & Awards

Keynote Speakers

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Dr. Jane Doe

Chief Neuroscientist at TechCore Labs

"Reimagining AI through neurobiology and evolutionary algorithms."

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Prof. Raj Patel

Director, Cognitive Systems Lab @ Stanford

"Building adaptive AI systems for medical diagnostics."

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Dr. Alex Wu

Lead Researcher, Bio-Inspired Computing

"The convergence of neuromorphic and quantum computing."