Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

To fight deepfakes, you have to be able to make them. The deepfake detection industry primarily exists to address one of ...

Abstract: The tremendous progress of 5G technology has transformed the landscape of the Internet of Things (IoT), allowing for fast data speeds, low delay, and widespread connection that is crucial ...

If you've ever desperately wanted to know exactly what your golden retriever is yelling at the mailman, a newly emerged tech startup claims to have the answer. Enter Pettichat, an AI-powered smart ...

Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...

Abstract: With the applications of deep learning networks booming in physical layer communication, deep-learning-based channel decoding methods have become a research hotspot. However, the high ...

SAN FRANCISCO, Jan 29 (Reuters) - Apple (AAPL.O), opens new tab on Thursday said it has acquired Q.ai, an Israeli startup working on artificial intelligence technology for audio. Apple did not ...

The efficacy of deep residual networks is fundamentally predicated on the identity shortcut connection. While this mechanism effectively mitigates the vanishing gradient problem, it imposes a strictly ...

We can't protect what we don't understand. From decoding wolf howls to making sense of millions of citizen-science sightings, we explore the tools helping researchers understand the wild in new ways.

Can you really solve a crime with pushpins and string? We're sorry, but something went wrong while fetching your podcast feeds. Please contact us at plus@slate.com ...