Encoding individual behavioral traits into a low-dimensional latent representation enables the accurate prediction of decision-making patterns across distinct task conditions.

The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...

FriendlyELEC has launched the "Plus" variant of the NanoPC-T6 Rockchip RK3588 SBC using up to 32GB LPDDR5, instead of LPDDR4x RAM ...

Chinese outfit Zhipu AI claims it trained a new model entirely using Huawei hardware, and that it’s the first company to ...

Abstract: Remote sensing semantic segmentation is a critical technology in the field of remote sensing image processing, with broad applications in environmental monitoring, urban planning, disaster ...

PPA constraints need to be paired with real workloads, but they also need to be flexible to account for future changes.

Manzano combines visual understanding and text-to-image generation, while significantly reducing performance or quality trade-offs.

Apple's researchers continue to focus on multimodal LLMs, with studies exploring their use for image generation, ...

For the past few years, a single axiom has ruled the generative AI industry: if you want to build a state-of-the-art model, ...

With PFITRE, Brookhaven scientists achieve breakthrough 3D imaging in nanoscale X-ray tomography, combining AI and physics ...

X-ray tomography is a powerful tool that enables scientists and engineers to peer inside of objects in 3D, including computer ...

Abstract: Detecting land cover changes from multitemporal and multimodal remote sensing images acquired by different sensors at the same location is a complex yet highly valuable task. Recently, ...