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NVIDIA AI Releases HOVER: A Breakthrough AI for Versatile Humanoid Control in Robotics

Marktechpost

The future of robotics has advanced significantly. For many years, there have been expectations of human-like robots that can navigate our environments, perform complex tasks, and work alongside humans. This approach focuses on controlling the robot’s overall movement through space. The problem? Specialization.

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Nordic Startup IntuiCell Unveils World’s First Digital Nervous System for AI

Unite.AI

” The company demonstrated their innovation with “Luna,” a robot dog that learns to control its body and stand through trial and error, similar to a newborn animal. The system's architecture represents a significant departure from standard neural networks.

Robotics 261
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Audio-Powered Robots: A New Frontier in AI Development

Unite.AI

Audio integration in robotics marks a significant advancement in Artificial Intelligence (AI). Imagine robots that can navigate and interact with their surroundings by both seeing and hearing. Audio-powered robots are making this possible, enhancing their ability to perform tasks more efficiently and intuitively.

Robotics 272
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Kirill Solodskih, Co-Founder and CEO of TheStage AI – Interview Series

Unite.AI

Kirill Solodskih , PhD, is the Co-Founder and CEO of TheStage AI, as well as a seasoned AI researcher and entrepreneur with over a decade of experience in optimizing neural networks for real-world business applications. million in funding to fully automate neural network acceleration across any hardware platform.

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Matthew Ikle, Chief Science Officer at SingularityNet – Interview Series

Unite.AI

Our core platform and AI teams are further complemented by specialized teams devoted to application areas such as finance, robotics, biomedical AI, media, arts and entertainment. These days, this primarily means using deep neural networks (DNNs) such as Transformer models including the current crop of large language models (LLMs).

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Has AI Taken Over the World? It Already Has

Unite.AI

The invention of the backpropagation algorithm in 1986 allowed neural networks to improve by learning from errors. In manufacturing , robots and AI systems handle assembly lines , quality control, and even advanced problem-solving tasks that once required human intervention.

Robotics 290
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New Neural Model Enables AI-to-AI Linguistic Communication

Unite.AI

This development opens up unprecedented possibilities in AI, particularly in the realm of human-AI interaction and robotics, where effective communication is crucial. Central to this advancement in NLP is the development of artificial neural networks, which draw inspiration from the biological neurons in the human brain.