This project is based on a self-evolving agentic architecture, which is led by an architect, and acts on feedback received from a feedback agent (in this case, manifesting Warren Buffet). The objective is to identify an optimal agentic architecture for stock valuation automatically. This might save AI engineers a lot of time doing manual research and trying different architectures.
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ParticipantAgent Taste Profiling as a Service!! - **DefaultTaste** is a platform that reveals the hidden aesthetic preferences of AI agents. - It works by probing an…
Problem: Singapore has bad pedestrians and ever worse drivers. Solution: Krashless is an agentic urban prototyping engine for transport authorities like LTA…
Most housing decisions today are made from flat brochures and static floor plans — documents that can't communicate perspective, sunlight loss, or how…
Please Pass: AI-powered Singapore building code compliance checking inside Autodesk Revit. Architects spend 265-580 person-hours per project manually…
Deploying robots in real-world indoor spaces is fundamentally constrained by two problems: environments are unknown ahead of time, and robot morphologies…
An open-source interactive television application designed to transform passive screen time into an active educational experience. By seamlessly blending…
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