Hosting Dublin.AI @ Trinity

Last week we in Trinity Innovation KnEx Knowledge Exchange were pleased to co-host a DublinAI event in TCD. DublinAI is a community for developers, data scientists, researchers, and founders based in Dublin. Their goal is to foster collaboration, knowledge sharing, and advancement in the field of AI and Machine Learning. The event was sponsored by Weights and Biases and Atlantic Bridge. Weights and Biases build the operation tools for machine learning and Atlantic Bridge is an international venture capital fund.

There were three extraordinary presentations on the evening before networking over what else for techies but Beer and Pizza.

First Up was a spin out from TU Dublin Frank Sierra?-?Senior Data Scientist of ?Micronagritech.com. Micron Agritech specialises in rapid, pen-side diagnostics for animal health. Their innovative approach combines machine learning video processing, hardware, and veterinary science to reimagine how we care for grazing animals.

This was followed by a wonderful presentation on the use of AI for Error Reduction in #Quantumcomputing by Brendan Barry?-?CTO at Irish company ?Equal1. Their breakthrough lies in their Quantum System-on-a-Chip (#QSoC). This chip integrates all essential quantum computer elements onto a single silicon chip, enabling scalable, datacenter-ready quantum servers. Brendan's presentation started with an overview of the history of quantum computing from Richard Feynman through Shor's and Grover's algorithms.

Brendan then described how Equal1 essentially Equal makes Qubits out of Electrons and Holes using #CMOS technology . In other words Quantum Readiness has arrived For Silicon CMOS. A major almost philosphical takeaway was when Brendan explained how computer scientists that have been trained from the beginning in quantum computing methodologies have an important advantage over those that have come from a classical computing background.

Finally Morgan McGuire?- Director of Growth ML at?Weights and Biases showed real examples of how their Python libraries can be used by developers to easily get Generative AI ( #GenAI #LLM) applications into production while maintaining high quality.