Merge branch 'main' of github.com:eljoserass/open-neuromorphic.github.io into feature/tsp1-hardware-page

Author: eljoserass

content/contributors/chris-eliasmith/index.md

@@ -1,6 +1,6 @@
 ---
 title: "Chris Eliasmith"
-description: "Professor, Canada Research Chair in Theoretical Neuroscience, and co-creator of the Nengo neural simulator. Research focuses on large-scale brain modelling and neuromorphic engineering."
+description: "Professor, Canada Research Chair in Theoretical Neuroscience, and CTO at Applied Brain Research. Research focuses on large-scale brain modelling, neural dynamics, efficient AI, and neuromorphic engineering."
 image: "chris-eliasmith.jpg"
 social:
   - icon: "fa fa-house"
@@ -14,4 +14,4 @@ social:
     title: "scholar"
 draft: false
 ---
-Chris Eliasmith is a Professor and Canada Research Chair in Theoretical Neuroscience at the University of Waterloo. He is a co-creator of the Nengo neural simulator, with research focusing on large-scale brain modelling, cognitive architectures, and neuromorphic engineering.
+Chris Eliasmith is a Professor and Canada Research Chair in Theoretical Neuroscience at the University of Waterloo and CTO at Applied Brain Research. His research focuses on on large-scale brain modelling, cognitive architectures, and neuromorphic engineering.

…c-chip-chris-eliasmith/ABR-TSP1-Chip.jpg …r-chip-chris-eliasmith/ABR-TSP1-Chip.jpgcontent/workshops/tsp1-neuromorphic-chip-chris-eliasmith/ABR-TSP1-Chip.jpg renamed to content/workshops/tsp1-neural-network-accelerator-chip-chris-eliasmith/ABR-TSP1-Chip.jpg content/workshops/tsp1-neuromorphic-chip-chris-eliasmith/ABR-TSP1-Chip.jpg renamed to content/workshops/tsp1-neural-network-accelerator-chip-chris-eliasmith/ABR-TSP1-Chip.jpg

@@ -0,0 +1,67 @@
+---
+title: "The TSP1 Neural Network Accelerator Chip: Advancing Brain-Inspired Computing"
+author:
+  - "Chris Eliasmith"
+  - "Danny Rosen"
+date: 2025-11-11
+start_time: "8:00"
+end_time: "9:00"
+time_zone: "EST"
+description: "Join Chris Eliasmith for an in-depth exploration of the TSP1 chip from Applied Brain Research. Learn about this groundbreaking hardware platform and its implications for brain-inspired computing."
+upcoming: true
+video: ""
+aliases:
+  - /workshops/tsp1-neural-chip-chris-eliasmith/
+image: "ABR-TSP1-Chip.jpg"
+type: "workshops"
+hardware_tags: ["tsp1"]
+---
+
+## About This Workshop
+
+Join us for an exciting workshop featuring Dr. Chris Eliasmith as he presents the **TSP1 (Time Series Processor 1)** neural network accelerator chip — a cutting-edge hardware platform developed by Applied Brain Research.  
+This event will provide insights into how brain-inspired computing can set world records in efficiency for AI applications.
+
+## What You'll Learn
+
+In this workshop, Dr. Eliasmith will cover:
+
+- **The TSP1 Architecture**: An overview of the TSP1 chip's unique design and capabilities
+- **Brain-Inspired Computing**: How the TSP1 embodies principles from neuroscience to create efficient, low-power computing solutions
+- **Real-World Applications**: Practical use cases where neural accelerator hardware like TSP1 excels, including edge computing, robotics, and adaptive systems
+- **Performance and Efficiency**: Comparisons with traditional computing architectures and insights into power consumption and speed
+
+## About the TSP1 Chip
+
+The **TSP1 (Time Series Processor 1)** represents a significant advancement in brain-inspired computing, offering:
+
+- **Ultra-low power consumption** suitable for edge deployment
+- **Real-time processing** of complex neural computations
+- **Scalable architecture** for building large-scale AI applications
+- **Native support** for temporal dynamics and time series processing
+
+This hardware platform enables researchers and developers to deploy sophisticated AI applications and neural networks in real-world applications where power efficiency and real-time performance are critical.
+
+## Who Should Attend
+
+This workshop is ideal for:
+
+- Researchers in neural computing and efficient AI
+- Engineers working on edge AI and embedded systems
+- Developers interested in brain-inspired computing platforms
+- Students exploring neural accelerator hardware and time series modeling
+- Anyone curious about the future of efficient AI computing
+
+## Speaker
+
+**Chris Eliasmith**, Professor and Canada Research Chair in Theoretical Neuroscience, and CTO at Applied Brain Research.  
+His research focuses on large-scale brain modelling, neural dynamics, efficient AI, and brain-inspired computing.
+
+## Resources
+
+- [Applied Brain Research Technology Page](https://www.appliedbrainresearch.com/technology)
+- [Centre for Theoretical Neuroscience](https://uwaterloo.ca/centre-for-theoretical-neuroscience/)
+
+## Registration
+
+Registration details and the event link will be announced soon. Stay tuned for updates on how to join this exciting workshop!