Biological neural networks are immensely complex systems underlying all aspects of cognition and behavior. Despite significant advances in neuroscience, a ...
Before jumping into the AI deep end, it’s vital to take the time to understand how your infrastructure really fits together.
The performance of skilled behaviors requires a balance between consistency and adaptability. Although the neural mechanisms that regulate this balance have been extensively studied at systems and ...
The authors have performed a potentially valuable new kind of analysis in connectomics, mapping to an interesting developmental problem of synaptic input to sensory neurons. While the analysis itself ...
Fara-7B is our first agentic small language model for computer use. This experimental model includes robust safety measures ...
The best kind of follow-up article isn’t one that clarifies a topic that someone got wrong (although I do love that, ...
At the 2025 Society for Neuroscience meeting, scientists discussed how artificial intelligence can aid fundamental ...
Power Technology on MSN
Working smarter in nuclear: Nuclearn on using AI to optimise operations
Nuclearn believes that AI can transform the nuclear industry, not by replacing decision-makers but by freeing them from repetitive tasks.
Interesting Engineering on MSNOpinion
The hidden backbone of AI: why networks, not chips, will decide the future
Looking ahead, Kar is certain the future belongs to openness. “Five years from now, open standards will take hold; there’s no ...
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