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

Coders have had a field day weeding through the treasures in the Claude Code leak. "It has turned into a massive sharing party," said Sigrid Jin, who created the Python edition, Claw Code. Here's how ...

There was a time when extraction shooters felt like a niche obsession reserved for the most hardcore players. They often felt intimidating for anyone used to traditional shooters, where respawns came ...

Here’s why emotional connection drives buying decisions — and how shifting your messaging from features to feelings can make your brand more memorable, persuasive and profitable. Over 50% of ...

Abstract: In the field of speech-based emotion recognition, Mel-Frequency Cepstral Coefficients (MFCCs) are widely used as representative acoustic features. Recent approaches have transformed MFCCs ...

Abstract: Recognizing human emotions from voice signals plays a vital role in developing natural human-computer interaction. This paper presents a Speech Emotion Recognition (SER) model based on a ...

Emotions may be a necessary ingredient to bring about a truly conscious AI, some scientists believe. A tech company is working on creating “micro-emotions” within AI to see how it effects their ...

Researchers at Tsinghua University developed the Optical Feature Extraction Engine (OFE2), an optical engine that processes data at 12.5 GHz using light rather than electricity. Its integrated ...