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Abstract: Developing deep learning models for accurate segmentation of biomedical CT images is challenging due to their complex structures, anatomy variations, noise, and unavailability of sufficient ...

PtychoNN is a two-headed encoder-decoder network that simultaneously predicts sample amplitude and phase from input diffraction data alone. PtychoNN is 100s of times faster than iterative phase ...

Abstract: Point cloud filtering is a fundamental problem in geometry modeling and processing. Despite of significant advancement in recent years, the existing methods still suffer from two issues: 1) ...

Meta recently open-sourced Brain2Qwerty v2, a noninvasive Brain–Computer Interface (BCI) that can decode sentences from ...

A new 3D image projection system from researchers at the UCLA Samueli School of Engineering and the California NanoSystems Institute (CNSI) marks a major step toward overcoming a longstanding problem ...

Most data teams discover quality problems the same way: a dashboard looks wrong, a stakeholder files a ticket, and an engineer traces the damage backward through the pipeline. By then, the bad data ...

A glass of water may look perfectly uniform, but at the molecular level, it could be carrying two different forms that are constantly swapping places. Scientists have suspected that liquid water is ...

Could pure AI encoding reinvent compression and make traditional codecs obsolete? Monica Heck examines what the future might ...

Emerging wireless demands are reshaping how next-generation networks are built, from spectrum strategy to intelligent signal ...

Meta’s Brain2Qwerty v2 offers a breakthrough non-invasive brain-to-text AI model with 61% word accuracy, challenging Neuralink’s invasive methods by decoding brain signals into text without surgery.

Katha Room hosts more than 250 stories across five languages and has notched over 10,000 downloads on iOS and Android combined, while being bootstrapped. Katha Room addresses the decline of ...