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Led by Zhou, an international team used the ultra-sensitive Atacama Large Millimeter/submillimeter Array (ALMA) to probe the ...

Abstract: In the field of autonomous driving, 3-D object detection is a crucial technology. Visual sensors are essential in this area and are widely used for 3-D object detection tasks. Recent ...

The Luba 3 AWD leads the new lineup, featuring LiDAR, RTK, and AI vision navigation, The more compact Luba and Yuka models ...

Boasting edge AI plus Google Gemini processing in the cloud, each of the Xthings Ulticam products will support Matter.

A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric ...

As the industry continues to face rising fire incidents and insurance challenges, operators are rethinking how they manage ...

KEY OBSERVATIONS The first alert came quietly. The data did not look wrong—just unfamiliar. What followed has forced ...

Big models did not guarantee results in 2025. Now companies want AI that works under pressure and earns trust.

Robot vacuums have steadily improved their cleaning performance and object avoidance over the years, but during our testing at CNET Labs, we discovered an odd trade-off.

Instead of building yet another LLM, LeCun is focused on something he sees as more broadly applicable. He wants AI to learn ...

Abstract: In recent years, numerous efficient object detectors have emerged in computer vision. However, applying these models to remote sensing images remains challenging due to complex backgrounds, ...