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Category: robotics/AI – Page 2
Researchers use statistics and math to understand how the brain works
Nothing rivals the human brain’s complexity. Its 86 billion neurons and 85 billion other cells make an estimated 100 trillion connections. If the brain were a computer, it would perform an exaflop (a billion-billion) mathematical calculations every second and use the equivalent of only 20 watts of power. As impressive as the brain is, neurologists can’t fully explain how neurons work together.
To help find answers, researchers at the Institute for Neuroscience, Neurotechnology, and Society (INNS) at Georgia Tech are using math, data, and AI to unlock the secrets of thought. Together they are helping turn the brain’s raw electrical “noise” into real insights about how people think, move, and perceive the world.
Fair warning: Prepare your neurons for the complexity of this brain research ahead.
Introducing MirrorBot, a robot designed to foster human connection
While technology has made the world “smaller,” it has also pulled individuals apart, thanks to mobile phones and other devices that command our attention. Cornell University researchers are using technology, in the form of a mirror-equipped robot, to help bring people together. Members of the Architectural Robotics Lab, led by Keith Evan Green, have built a four-foot-tall robot—dubbed MirrorBot—with dual mirrors that, when placed in front of a pair of strangers, let each participant see themself in one mirror and the other person in the other.
In a study involving participants in a waiting-room setting, MirrorBot spurred conversations, playful exchanges and other interactions between strangers. The findings suggest that robots can act not only as conversational partners, but also as spatial mediators. The research is published in the journal Proceedings of the 21st ACM/IEEE International Conference on Human-Robot Interaction.
“We weren’t just trying to trigger conversations, but to support the very first moment of social connection, which is the eye contact,” said Serena Guo, lead author of the paper.
Sovereign AI: Why Owning The Full Stack Is The New Strategic Imperative
By Chuck Brooks
Artificial intelligence has entered a new phase of strategic consequence, and executives, policymakers, and small business owners can no longer afford to treat it as a back-office technology decision. The central question is no longer whether an organization will use AI. It is how much of that AI the organization will actually own.
Sovereign AI—the end-to-end ownership of the data, the model, and the interaction layer that connects them to the people who depend on them—is rapidly moving from a geopolitical discussion into a board-level and Main Street requirement.
Sovereign AI has largely been framed as a national concern, but that framing is incomplete. The same logic that compels a nation to own its AI stack compels a hospital system, a regional bank, a defense supplier, and a mid-sized manufacturer to do the same.
Nuclei Limit Neural Network Quantum Simulations
For a fixed number of configurations, representing quantum states becomes less accurate as their non-stabilizerness increases. This demonstrates a clear limit to how well restricted Boltzmann machines can compress and represent highly entangled systems. Calculations using ground states of medium-mass atomic nuclei reveal non-stabilizerness as a key property governing neural network performance.
Efficacy and Safety of VMAT2 Inhibitors in the Treatment of Huntington DiseaseA Meta-Analysis of Randomized Clinical Trials
In patients with Huntington disease, vesicular monoamine transporter 2 inhibitors (VMAT2is) treatment improved chorea without significant changes in adverse effects or depressive symptoms.
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Influence of Decreased Kidney Function on Plasma Biomarkers of Neurodegenerative Disorders in Routine Care: Confirmation of the Interest of Ratios
This study found that impaired kidney function was linked to increased plasma cerebral amyloidosis biomarkers, but ratio-based measures showed stable sensitivity and specificity for detecting cerebral amyloidosis across all eGFR groups.
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