A two-chip photonic neuromorphic system performs real time spiking reinforcement learning using only light, achieving ...
The results include a comparison between two different basis functions for temporal selectivity and how these generate different predictions for the dynamics of neural populations. The conclusions are ...
It's been 10 years since Go champion Lee Sedol lost to DeepMind's AlphaGo. Has the technology lived up to its potential?
What if the thermal noise that hinders the efficiency of both classical and quantum computers could, instead, be used as a ...
To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...
Neural tracking shows learning increases shared signaling among sensory neurons during decisions, helping combine sensory input with expectations.<br /> ...
Researchers present a comprehensive review of frontier AI applications in computational structural analysis from 2020 to 2025 ...
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'Thermodynamic computer' can mimic AI neural networks — using orders of magnitude less energy to generate images
Researchers generated images from noise, using orders of magnitude less energy than current generative AI models require.
Astrocytes in the cerebellum trigger a shift in GABA signaling during late adolescence, enabling adult-level motor coordination.
Researchers challenge the long-standing "neural independence" theory, showing that learning actually makes neurons more coordinated.
Ericsson offered a measured view of AI’s impact on telecoms at MWC: fiber may lead the telco boom today, but AI will shift through the mid-cycle 5G evolution in AI-RAN.
A new study reveals that astrocytes—star-shaped support cells traditionally viewed as passive partners of neurons—play a ...
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