Brain-Inspired AI Chip: The Future of Energy-Efficient Speech Recognition

Researchers have developed a new artificial intelligence (AI) chip that mimics the human brain for more energy-efficient speech recognition. The analog AI chip uses phase-change memory devices to perform computations in parallel, dramatically reducing power consumption. In tests, the chip achieved up to 12.4 trillion operations per second per watt, 14 times more energy-efficient than …

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AI Reconstructs Pink Floyd Music from Auditory Cortex with Decoding Models

Researchers have reconstructed a recognizable version of the Pink Floyd song “Another Brick in the Wall” directly from recorded brain activity. Using advanced machine learning techniques, the team was able to extract enough acoustic information from listeners’ brain signals to identify the song and recreate an intelligible version. Key highlights: Researchers recorded brain activity via …

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AI Converts Brainwaves to Speech with Uncanny Accuracy

Summary: Advances in brain-computer interface (BCI) technology could one day give voice to those who have lost the ability to speak. New research brings us one step closer to this goal by reconstructing identifiable words and sentences directly from brain activity. Major Findings: Researchers optimized deep learning models to reconstruct speech sounds from brain recordings …

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