We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Next-generation systems can suture soft tissue with minimal human input

Intempus wants to retrofit robots to be able to convey human expression to make them easier to understand and to deliver richer data.

Fujikawa, R., Ramsaran, A.I., Guskjolen, A. et al. Neurogenesis-dependent remodeling of hippocampal circuits reduces PTSD-like behaviors in adult mice. Mol Psychiatry 29, 3316–3329 (2024). https://doi.org/10.1038/s41380-024-02585-7

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Founded by former Uber managers, the startup builds a general-purpose AI teammate for the workplace.

The chat bot earned a B, slightly below the class average. It excelled in practice problems and computing exercises but was unable to justify its work or simplify systems.

Human brains are great at sorting through a barrage of sensory information—like discerning the smell of tomato sauce upon stepping into a busy restaurant—but artificial intelligence systems are challenged by large bursts of unregulated input.

Using the brain as a model, Cornell researchers from the Department of Psychology’s Computational Physiology Lab and the Cornell University AI for Science Institute have developed a strategy for AI systems to process olfactory and other sensory data.

Human (and other mammalian) brains efficiently organize unruly input from the outside world into reliable representations that we can understand, remember and use to make long-lasting connections. With these brain mechanisms as a guide, the researchers are designing low-energy, efficient robotic systems inspired by biology and useful for a wide range of potential applications.