about
Robots Go Mental is a technology company founded in 2016 that has developed an artificial intelligence method called Guided Transfer Learning (GTL). The company's core technology addresses a common challenge in machine learning: the need for massive amounts of data and computational power. GTL is designed to make the training of deep learning models significantly more efficient, enabling them to learn from small datasets and reducing resource requirements. The company was co-founded by CEO Dr. Danko Nikolić, CTO Davor Andric, and VP of Engineering Vjekoslav Nikolic. Dr. Nikolić is a brain scientist with a background in cognitive psychology and experience leading research at the Max Planck Institute, where he explored how the brain works to inform better AI. This scientific foundation is central to the company's approach, which deviates from traditional methods by applying principles from brain and mind theory. The GTL technology, detailed in a white paper and a proof-of-concept on GitHub, functions by adding a guiding parameter to each weight and bias in a neural network. This allows the model to learn a new task with fewer examples and resources than conventional transfer learning techniques. Robots Go Mental targets its technology towards clients in sectors like autonomous vehicles and the metaverse. For these industries, it offers a 'World Replica' service that generates 3D synthetic data for simulations, deep learning training, and verification. The firm states its GTL technology can lead to 3-5x faster inference and 20-50x smaller deep learning models that operate on 5-10x less data without a loss in quality. Keywords: Guided Transfer Learning, efficient AI, small data, deep learning, machine learning, synthetic data generation, autonomous vehicles, metaverse, AI theory, resource-efficient ML — this profile has been compiled from public sources. The founders haven't yet claimed it.
technology & focus
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team
Danko Nikolic
Founder
Davor Andric
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