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…
Peer review is under strain from the growth of submissions, and review comments written by humans or AI can misstate what a paper says. We introduce ReviewFact, a benchmark that labels such factual errors in review comments under one definition across NLP, machine learning, and…
GPT-6-Astra demonstrates a level of competence in robotic manipulation and navigation that challenges the conventional paradigm of building specialized models for individual tasks and embodiments. In this report, we ask not only how capable GPT-6-Astra is, but what its…
Time-series foundation models provide strong zero-shot forecast, but deployment for real-world applications still requires task-specific designs for model inputs and outputs. Direct inference can leave domain knowledge and recurring forecast errors unaddressed, while tailored…