SPARETECH announced on November 10, 2026, that it had raised $20 million in Series B funding co-led by Blume Equity and Insight Partners, with participation from Headline. The company will use the capital to develop AI
ChainCatcher report, according to Dajia Ribo, at 20:30 on November 10, Luo Yonghao will make his debut in the "Jiao Ge Pengyou" live stream to promote TRAE, an
Timo Zhang's Blind LLM Agents project hardens shipped packages, command-line tools and WebAssembly modules with transforms and decoys to raise the cost of LLM-aided reverse engineering, while its creator says it will not stop determined traditional reverse engineering.
America now buys far more computer and electronics gear from Taiwan than from China. One company sits at the center of that shift, and its sales just jumped 60%.
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…
When you deploy an agent, whether it is working is really several questions: did it finish the task, stay on topic, leak data, or skip steps? This post shows how to evaluate agents on Amazon Bedrock AgentCore with built-in, DeepEval, and AutoEval evaluators, and how to match…
Generating coherent meta-reviews from multiple peer reviews is challenging when reviewer evidence conflicts and varies in reliability. Existing approaches typically formulate meta-review generation as a multi-document summarization task and aggregate reviewer feedback…
In this paper, we investigate the limitations of fixed, hand-crafted connectors in hierarchical semantic representations for open-vocabulary object detection. Existing methods establish semantic relationships between base categories and unseen novel categories by placing a…
We present a method for synthesizing reactive character behaviors for continuous games as compact, human-readable programs. Game AI practice still relies heavily on manually authored behavior trees, state machines, and scripts, while academic reinforcement learning typically…