The implications of AI for data governance and security don’t often grab the headlines, but the work of incorporating this ...

An innovative and scalable proximity labelling method profiled proteins present in the Caenorhabditis elegans brain during learning, identifying known regulators as well as novel biological pathways.

This is Part 2 of our two-part technical analysis on the Gopher Strike and Sheet Attack campaigns. For details on the Gopher Strike campaign, go to Part 1.IntroductionIn September 2025, Zscaler ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

Liu, Y. and Luo, Y. (2026) A Corpus-Based Study of Musicality in Zhu Shenghao’s Translation of Shakespeare’s Four Great Tragedies. Open Journal of Social Sciences, 14, 425-438. doi: ...

Streaming is an actively evolving technology, writes Wheatstone's Rick Bidlack, and the queen of streaming, metadata, will ...

Abstract: Generating images that align with textual input using text-to-image (TTI) generation models is a challenging task. Generative adversarial network (GAN) based TTI models can produce realistic ...

TL;DR: We propose ReAlign, a plug-and-play reward-guided alignment strategy for text-to-motion generation, which explicitly enhances both semantic consistency and motion realism throughout the ...

The data inputs that enable modern search and recommendation systems were thought to be secure, but an algorithm developed by Cornell Tech researchers successfully teased out names, medical diagnoses ...

“The representation is gradually going to accumulate some noise. As a result, when you see an image or a sentence for a ...

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