Fujifilm’s new instant camera captures video with vintage effects
You hold Fujifilm’s new instant camera sideways like a camcorder. | Image: Fujifilm Fujifilm is expanding its hybrid instant camera line with the new Instax Min...
You hold Fujifilm’s new instant camera sideways like a camcorder. | Image: Fujifilm Fujifilm is expanding its hybrid instant camera line with the new Instax Min...
The holidays — and the copious amounts of binge-watching that come with them — are very much behind us at this point, but that doesn’t mean there won’t be time...
The application of machine learning on healthcare data is often hindered by the lack of standardized and semantically explicit representation, leading to limite...
Beijing doesn't want tech companies stockpiling H200 chips while it's still figuring out how to balance the needs of its AI industry and its push for homegrown...
Pathology foundation models (PFMs) have become central to computational pathology, aiming to offer general encoders for feature extraction from whole-slide imag...
We introduce RFC Bench, a benchmark for evaluating large language models on financial misinformation under realistic news. RFC Bench operates at the paragraph l...
Remote photoplethysmography (rPPG) estimates a blood volume pulse (BVP) waveform from facial videos captured by commodity cameras. Although recent deep models i...
Language models have become effective at a wide range of tasks, from math problem solving to open-domain question answering. However, they still make mistakes, ...
At CES, Jensen Huang was pressed on margins, memory costs, and whether Nvidia’s growing use of SRAM and open AI models might finally loosen the company’s grip o...
Direct Preference Optimization (DPO) has recently improved Text-to-Video (T2V) generation by enhancing visual fidelity and text alignment. However, current meth...
Audio-video joint generation has progressed rapidly, yet substantial challenges still remain. Non-commercial approaches still suffer audio-visual asynchrony, po...
Class imbalance significantly degrades classification performance, yet its effects are rarely analyzed from a unified theoretical perspective. We propose a prin...