As governments pursue competing approaches to AI regulation and infrastructure development, data center operators face growing pressure to document security controls, verify workload...
/PRNewswire/ -- Asuri today announced the launch of its multi-agent enterprise AI platform, designed to help businesses move beyond copilots and deploy...
MOUNTAIN VIEW, Ca., October 21, 2026--Bloomreach, the AI company for personalized customer engagement, today announced that brands, technology partners, and agencies around the world have already built more than 200 agents using Loomi Connect, the integration foundation for its Loomi intelligence layer. Loomi comprises multiple models, including purpose-built, adaptive models that learn from each business’s unique data, orchestrated together to drive revenue. Loomi Connect gives businesses a str
Optical chiplets for AI data centers gained Japan government backing as NEDO selected an NTT-led consortium to develop silicon photonics mass-production infrastructure. The project targets production samples in 2028 and requires a tenfold manufacturing productivity gain to become commercially
DeepSeek-V4.1-Flash-1017 is a minor update to DeepSeek-V4.1-Flash, delivering substantial improvements across reasoning, coding, agentic tasks, and visual benchmarks. Alongside these gains, the model reduces task execution time and output length, enabling users to complete…
Riemannian manifolds are powerful models for problems with non-Euclidean structure. Recent work in geometric machine learning has focused on training deep neural networks to learn Riemannian metrics from high-dimensional data. However, many geometric algorithms require repeated…
Test-time scaling allocates additional inference compute to refining existing solutions or generating new ones. This raises a fundamental question: Should I keep improving this solution, or stop working on it and try a completely new solution? Existing methods make this…
Undersampled magnetic resonance imaging (MRI) reconstruction aims to recover high-quality images from partially acquired k-space data, thereby reducing scan time. However, missing frequency-domain measurements often lead to residual aliasing artifacts, blurred edges, and loss…
Radiologists interpret follow-up chest X-rays by comparing current and prior examinations to identify new, resolved or progressing findings. Most report generation systems either omit this longitudinal context or fuse prior features without distinguishing interval changes from…