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May 25, 2019Artificial Intelligence
How Artificial Intelligence sees, hears, and relates concepts
António Roldão While most AI companies are focused on teaching computers to beat humans in win/lose scenarios (e.g. IBM with DeepBlue & Jeopardy, DeepMind with AlphaGo, ...), at muse.ai, we have been focused on making machines see, hear, and relate concepts in a way similar to humans. Ensuring a consistent perception of the world by humans and machines is not only foundational for a Video Search company like ours, it is also key to evolve machines so that they can empathize and collaborate with humans to devise win/win outcomes.
May 25, 2019Design
How we designed muse.ai
Tomás Thor Palmeirim Developing a refined service involves making a myriad of trade-offs, and ideally these decisions follow an ethos that conveys a certain ideology. In the case of muse.ai, these principles need are centered on serving our clients in the most efficient and straightforward way using the most advanced artificial intelligence technologies. This is why our design is guided by minimalism and utility.
May 25, 2019 Artificial IntelligenceComputer Vision
Signal Processing for Computer Vision
Tamara Lipowski Developing a refined service involves making a myriad of trade-offs, and ideally these decisions follow an ethos that conveys a certain ideology. In the case of muse.ai, these principles need are centered on serving our clients in the most efficient and straightforward way using the most advanced artificial intelligence technologies. This is why our design is guided by minimalism and utility.
May 25, 2019Artificial Intelligence
Convolutional Recurrent Neural Networks for Polyphonic Sound Event Detection
Rimvydas Naktinis Developing a refined service involves making a myriad of trade-offs, and ideally these decisions follow an ethos that conveys a certain ideology. In the case of muse.ai, these principles need are centered on serving our clients in the most efficient and straightforward way using the most advanced artificial intelligence technologies. This is why our design is guided by minimalism and utility.
May 25, 2019Systems
Why build our own cloud storage solution
Pedro Ramos Developing a refined service involves making a myriad of trade-offs, and ideally these decisions follow an ethos that conveys a certain ideology. In the case of muse.ai, these principles need are centered on serving our clients in the most efficient and straightforward way using the most advanced artificial intelligence technologies. This is why our design is guided by minimalism and utility.
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