Author: Gabriel Giangi
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Towards AGI in Robotics: An Exploratory Approach to Self-Maintenance
Building upon the quest for General Artificial Intelligence (AI) in robotics, this article proposes a novel architecture for a self-maintaining robot. Employing a triad of Perception, Cognition, and Action modules, the approach leverages machine learning techniques, reinforcement learning, and control theory, allowing the robot to monitor and manage its energy consumption, troubleshoot faults, and perform…
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Federated Graph Neural Networks: An In-Depth Look
In the evolving field of Federated Learning, an under-explored aspect lies in the relationships between participants, often forming a complex graph topology. This post delves into the concept of these relationship graphs, using medical research collaboration and import/export logistic tracking as real-world examples.
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SPEAR
Leveraging a vast dataset and a state-of-the-art deep learning approach, SPEAR delivers unmatched SER performance.
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Harnessing the Power of Affective Computing: Use Cases and Research Areas
In the intriguing field of affective computing, Speech Emotion Recognition (SER) stands out as a rapidly evolving discipline. With the advent of deep learning and large pre-trained self-supervised models like Wav2Vec 2.0 and WavLM, SER is undergoing a significant transformation. The introduction of the SEIR-DB, one of the most diverse SER datasets, and the development…
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SEIR-DB
The Speech Emotion Intensity Recognition Database aims to facilitate tasks related to speech emotion recognition.
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DispatchBoost
DispatchBoost is an advanced system designed to optimize routing decisions for efficient and cost-effective transportation.
Gabriel Giangi 