This capability allows advertisers to plan campaigns based on deduplicated reach across platforms, delivering more cost-effective campaigns, and avoiding wasted ad spend.

Anti-forgetting representation learning method reduces the weight aggregation interference on model memory and augments the representation ...

Google quietly published a research paper on personalized semantics for recommender systems like Google Discover and YouTube.

Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving ...

Bots and AI are dominating Polymarket by exploiting mispriced odds and latency, leaving human traders struggling to compete.

National precipitation forecasting has for decades been hamstrung by static and inadequate climate models, but new tools are ...

According to TII’s technical report, the hybrid approach allows Falcon H1R 7B to maintain high throughput even as response ...

A newly designed robust mechanophore provides early warning against mechanical failure while resisting heat and UV, report ...

The topic of AI and its implications for orthopedic surgeons became of high personal importance when Bill Gates predicted that AI would replace physicians and others within the next decade. As an ...

Enclosing the sun deck of a yacht won big in the International Achievement Awards (IAAs), including Best of Canada, for SALTY ...

Beijing, Jan. 05, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning ...

Abstract: The data-driven techniques have been developed to deal with the output regulation problem of unknown linear systems by various approaches. In this article, we first extend an existing result ...