Layered metasurfaces trained as optical neural networks enable multifunctional holograms and security features, integrating ...
Morning Overview on MSN
Meta demonstrates AI that decodes thoughts from brain signals
Meta is testing artificial intelligence systems that can turn patterns of brain activity into text, effectively letting ...
Artificial intelligence-enabled electrocardiography from scientific research to clinical application
Recent advancements in artificial intelligence (AI) have revolutionized the application of electrocardiography (ECG) in ...
She went from running a dry-cleaning shop in New Jersey to quietly igniting the deep learning revolution that powers today’s ...
In the evolving landscape of artificial intelligence (AI), the assumption that more data lead to better models has driven unchecked reliance on synthetic data to augment training datasets. Although ...
A new AI dataset teaches machines to smell by associating smell data with images, letting models match odors to objects, ...
The $12K machine promises AI performance can scale to 32 chip servers and beyond but an immature software stack makes ...
In a study published in Advanced Photonics, researchers at SPIE introduced a method to enhance photonic circuit adaptability without compromising compatibility with current technologies.
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 ...
Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language ...
Photons are fast, stable, and easy to manipulate on chips, making photonic systems a promising platform for QCNNs. However, photonic circuits typically behave linearly, limiting the flexible ...
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