News

Open-access AI tool makes biomedical image analysis accessible to non-experts
An international team of researchers has developed BiaPy, an open-code artificial intelligence platform that facilitates the ...
Making AI models more trustworthy for high-stakes contexts, like classifying diseases in medical images
The ambiguity in medical imaging can present major challenges for clinicians who are trying to identify disease. For instance ...
Semiconductor Engineering18h
Inference Framework For Deployment Challenges of Large Generative Models On GPUs (Google)
A new technical paper titled “Scaling On-Device GPU Inference for Large Generative Models” was published by researchers at ...
Purdue University5d
New imaging technologies achieve real-time boundary detection, single-shot high-dynamic range imaging
Purdue engineers are developing CT-Bound and MetaHDR, imaging technologies with applications as broad as medical imaging, ...
IEEE6d
Multi-scale Spatial-Spectral CNN-Transformer Network for Hyperspectral Image Super-Resolution
To address this limitation, we innovatively propose a Multi-scale Spatial-spectral CNN-transformer network for Hyperspectral image Super Resolution, namely MSHSR. MSHSR not only applies the local ...
Microsoft introduces Phi-4 reasoning SLM models — Still "making big leaps in AI" while its partnership with OpenAI frays
Microsoft's most advanced Phi-4 small language model (SLM) competes with the performance of larger-scale models. While ...
Science|Business5d
INESC-ID contributes to Europe’s digital autonomy in high-performance computing and AI through the DARE Project
INESC-ID is one of 38 partners involved in a major European effort to build a sovereign computing infrastructure through the new project DARE SGA1 – Digital Autonomy with RISC-V in Europe. Our ...
Microsoft5d
Background erasers
For example, changing the brush size or hardness or restoring parts of the subject that were accidentally removed. A good background eraser supports multiple image formats—such as JPEGs, PNGs, and ...