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…
Agent harnesses are executable code that specifies the prompts, tools, and control flow around a language model. A single global harness can struggle with heterogeneous tasks that require different execution strategies. In this work, we introduce Object-Oriented Harness…
Homotopy type theory (HoTT) provides a natural setting for studying the metatheory of type theory, as it comes with additional extensionality principles compared to ordinary Martin-Löf type theory. In particular, it is especially suitable for developing semantics of type…
A growing body of work proposes dynamic expert-skipping methods for Mixture-of-Experts (MoE) models that adjust the number of experts activated per token during inference, aiming to preserve model quality while further reducing the number of active parameters. These methods…
Independently trained autoregressive language models often acquire similar capabilities, but it remains unclear whether their internal representations organize behaviorally relevant information in compatible ways. We show that models do in fact organize information similarly by…