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…
Although deep learning has advanced Whole Slide Image (WSI) Analysis, tissue artifacts like bubbles and folds often cause silent failures by concealing essential morphology. Current pathology image restoration methods are mostly restricted to small patches, struggling to…
Tool-calling LLM agents are increasingly deployed in enterprise applications. However, effective evaluation and optimization require high-quality, diverse task datasets that are often difficult to obtain due to privacy and other constraints. Existing synthetic task generation…
Calibration count reuse raises separate validity and efficiency questions. We give a validity criterion for general count-dependent nonconformity scores: transferring one count from another class to the scored class must not improve its conformity. A leave-self-out full…
Causal Bayesian Optimization (CBO) combines causal inference with Bayesian optimization to enable sample-efficient intervention selection in systems with causal structure. This survey provides a systematic review of CBO through a unified BO-loop perspective, showing how causal…