A Queen’s research team has developed a new way to train AI systems so they focus on the bigger picture instead of specific, optimized data.
Patient digital twins aim to create computational replicas of an individual’s physiology that can predict disease trajectories and treatment response.
Researchers have devised a way to make computer vision systems more efficient by building networks out of computer chips’ logic gates. Networks programmed directly into computer chip hardware can ...
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 ...
Increasingly, AI models are able make short-term weather forecasts with surprising accuracy. But neural networks only predict based on patterns from the past—what happens when the weather does ...
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Neural data at risk – is the US ready to act?
Brain-computer interface (BCI) technologies are advancing rapidly, and – as with other innovations like artificial intelligence (AI) – regulation often lags, leaving the world to ‘play catch-up.’ In ...
Finnegan’s Lynn Parker Dupree and Baker McKenzie’s Lothar Determann discuss a wave of new state laws regarding brainwaves tracked by wearable devices, or data derived from the activity of a person’s ...
New research from the University of St Andrews, the University of Copenhagen and Drexel University has developed AI computational models that predict the degeneration of neural networks in amyotrophic ...
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