Research provides new evidence that generalized anxiety disorder (GAD) and depressive disorder (DD) have distinct patterns of brain activity. Machine learning analysis of EEG data reveals signature brain features that may enable more accurate diagnosis. Key Facts: DD showed increased beta band power and complexity compared to GAD Brain network connectivity was altered in both …
Scientists have developed a new way to identify hit songs that people will love by measuring listeners’ brain activity responses using machine learning AI. This approach was much more accurate than asking people if they liked each song. Key Facts: Researchers measured people’s brain activity while they listened to 24 new songs. They tracked emotional …
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 …
Artificial intelligence (AI) systems are rapidly becoming more sophisticated and human-like. This raises an intriguing question: could AI systems one day become conscious? A new interdisciplinary paper explores this complex issue, assessing theories about the neural basis of consciousness and their implications for AI. Key takeaways: Current AI systems are not conscious, but there may …
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 …
