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

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This study represents a useful finding on the social modulation of the complex repertoire of vocalizations made across a variety of strains of lab mice. The evidence supporting the claims is, at ...

Abstract: This paper addresses the interference suppression problem in frequency modulated continuous wave (FMCW) radars. We propose an unsupervised learning framework based on an autoencoder ...

Abstract: Unsupervised continual learning (UCL) aims to develop learning systems that can acquire knowledge from a sequence of unlabeled and potentially non-stationary data while retaining previously ...

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An international research team developed a multi-stage intrusion detection system that uses supervised and unsupervised AI techniques to detect and mitigate cyber threats in smart renewable energy ...

OpenAI plans to acquire Astral, a company specializing in open source Python development tools The Astral team will integrate into OpenAI’s Codex AI-powered coding platform operations Codex has ...