Headquarters
ViSSee SA
6900 Lugano, Switzerland
In 2008, we reversed engineered the brain of the fruit fly. Now we explore massive multi-agent exploration and Robot Consciousness. We combine AI, Robotics, Machine Learning, and Neuroscience through Generative Approaches.
The Shape of Insight
ScienceMaps
Interactive atlas · Web prototype
Explore how scientific ideas connect and change over time.
Move through an interactive atlas, travel across centuries, and enter illustrated scenes that reveal scientific ideas, methods, and evidence.
Explore ScienceMaps
Choose a trait you can follow Sort before you explain Research Notes
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The Origin of the Machine Species How AI Mirrors Human Reasoning and Evolves in Digital Ecosystems -
Robot Self-Awareness Or, does the Universe want to understand itself? -
From Knowledge Graphs to GPTs — Navigating Latent Spaces How does ChatGPT generate complex and coherent responses, even to abstract questions, by simply predicting the next word in a sequence? In this high-level article, parallels between Knowledge Graphs and GPTs and how transformers n... -
Simulating Consciousness with AI Agents Using interplaying Large Language Models as a tool for understanding -
Flying at the speed of light The story of how visual speed measurement was discovered from fruit flies — A 10th anniversary celebration -
Knowledge Graphs and Machine Learning A Knowledge Graph is a set of datapoints linked by relations that describe a domain, for instance a business, an organization, or a field of study. It is a powerful way of representing data because Knowledge Graphs can be built au... -
Building Digital Societies of Tomorrow How can we avoid compromising on our values in digital worlds? Over the last 30 years, the diffusion of internet has broken down barriers and caused a proliferation of digital societies. This acceleration in cultural evolution is... -
Turing was wrong But it was actually Golgi's fault — An introduction to the dense paradigm -
Beyond Machine Learning Thinking Machines will have imagination, learn continuously using multimodal (possibly active) feedback, and still be driven by fundamental instincts.