Researchers trained living neuronal networks to perform temporal learning tasks using a machine learning framework. The ...

A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously ...

Brain scans reveal that people with dark personality traits show heightened resting activity in goal-directed networks and ...

Psilocybin, LSD, mescaline, DMT, and ayahuasca have different chemical structures, different durations, different cultural ...

In December, The Conversation hosted a webinar on AI's revolutionary role in drug discovery and development. Science and ...

Skolnick has developed AI-based approaches to predict protein structure and function that may help with drug discovery and ...

Read more about Deep learning and AI unlock new era of solar energy forecasting and performance on Devdiscourse ...

Patel and colleagues took 20 healthy adults and dropped them into a seven-day retreat that was part classroom, part monastery ...

Scientists have demonstrated, for the first time, that several psychedelic drugs – including psilocybin, LSD, mescaline, DMT and ayahuasca – produce a common pattern of brain activity despite their ...

NVIDIA researchers have proposed a neural compression method for material textures that enables random-access lookups and ...

The study examines detection systems, cryptographic provenance frameworks, watermarking techniques, adversarial resilience, and governance mechanisms, presenting deepfake mitigation as a complex, ...

Scientists have demonstrated, for the first time, that several psychedelic drugs – including psilocybin, LSD, mescaline, DMT and ayahuasca – produce a common pattern of brain activity despite their ...