Ricursive Intelligence introduces Ripple-65B Preview, a 65B parameter dense Transformer model pretrained on 12 trillion tokens with support for up to 1M context length. Ripple-65B Preview delivers strong results on agentic coding, scoring 80.52 on TerminalBench 2.1 and…
Eval-driven development helps you build AI agents against a consistent set of metrics. Define good behavior, write the eval first, then compare experiments.
So it is with two new TPU accelerators that Google will be rolling out next year for its eponymous cloud and maybe even for some of its handful of direct customers who can get their hands on iron based on Google's homegrown compute engines for their own datacenters.
Pillar Security announced on November 9, 2026 that Vanta had signed a definitive agreement to acquire the AI security company. The planned deal would connect Pillar's agent testing and runtime protection with Vanta's
In the past few months, partly autonomous or "agentic" artificial intelligence (AI) systems have racked up some astonishing feats, from hacking tech startups to solving some of the world's most famous open mathematical questions.
Vanta, a security and compliance automation platform provider, has entered into a definitive agreement to acquire Pillar Security, an AI security company specializing in runtime protection, adversarial testing,
HUMAIN Infra financing: the National Infrastructure Fund signs up to SAR 2.5bn ($667m) for GPUs and grid links for HUMAIN's AI data centres in Saudi Arabia.
Autonomous software generation (ASG) aims to turn human requirements into executable applications, but delivering these applications does not necessarily establish that their interacting components satisfy the specified behavioral requirements. We introduce GameASG-Bench, a…
Patient world models and clinical agents aim to predict changes in patients' health and support clinical work. Developing these systems requires reliable histories of patient conditions, treatments, and the information available at each decision. Electronic health records…
Surface electromyography (sEMG)-based silent speech interfaces are limited by cross-user variability and calibration burden. We study a limited-data setting in which each of 27 speech-typical participants contributed less than 0.5 h of data (21.3 min on average) across Aloud…
Long-running AI agents outlive initiating processes through credentials, delegated tasks, queues, callbacks, reservations, and provider-side operations. Cancellation, process exit, and credential revocation neither close every pre-cut carrier nor distinguish independently…