Sevii Redefines Cybersecurity at RSAC 2026, Winning Multiple Global InfoSec Awards for Autonomous Defense & Remediation - PR Newswire
<a href="https://news.google.com/rss/articles/CBMigwJBVV95cUxQcDFHUHBSdzVEV2o5eUNDMFgyS3kyMEh4b0Y3eWVCeG4zdlFPb080cjdKNHQ0RjFnN1dBcHZXczlQNWc1R2M4OEtIdUUtYVRWcW5xRlhDRndXVDdzakJDVUJRTE5CbThmb3dDdWVnQXRabUFpWEZJU18wbi1UZTB4d29wYjVzTnZpbEcwNGVaWnFPc2pXb1g1WXZoYjhxa1NZN0YwZzk1SjRtTVp5UzM3dmFsUGpqUG9WM216V21ZNk5zbU1fVVYzVFg2SEw2dGxoV2tyLXVlYzVfNFFBRHlDelJkLVVmWU80S1UtbENFLU14d3gtVVlCS3IzYTVKbXlmbDBZ?oc=5" target="_blank">Sevii Redefines Cybersecurity at RSAC 2026, Winning Multiple Global InfoSec Awards for Autonomous Defense & Remediation</a> <font color="#6f6f6f">PR Newswire</font>
Could not retrieve the full article text.
Read on GNews AI cybersecurity →Sign in to highlight and annotate this article
Conversation starters
Daily AI Digest
Get the top 5 AI stories delivered to your inbox every morning.
More about
globalautonomous
The Rashomon Effect for Visualizing High-Dimensional Data
arXiv:2604.00485v1 Announce Type: new Abstract: Dimension reduction (DR) is inherently non-unique: multiple embeddings can preserve the structure of high-dimensional data equally well while differing in layout or geometry. In this paper, we formally define the Rashomon set for DR -- the collection of `good' embedding -- and show how embracing this multiplicity leads to more powerful and trustworthy representations. Specifically, we pursue three goals. First, we introduce PCA-informed alignment to steer embeddings toward principal components, making axes interpretable without distorting local neighborhoods. Second, we design concept-alignment regularization that aligns an embedding dimension with external knowledge, such as class labels or user-defined concepts. Third, we propose a method t
Locally Confident, Globally Stuck: The Quality-Exploration Dilemma in Diffusion Language Models
arXiv:2604.00375v1 Announce Type: new Abstract: Diffusion large language models (dLLMs) theoretically permit token decoding in arbitrary order, a flexibility that could enable richer exploration of reasoning paths than autoregressive (AR) LLMs. In practice, however, random-order decoding often hurts generation quality. To mitigate this, low-confidence remasking improves single-sample quality (e.g., Pass@$1$) by prioritizing confident tokens, but it also suppresses exploration and limits multi-sample gains (e.g., Pass@$k$), creating a fundamental quality--exploration dilemma. In this paper, we provide a unified explanation of this dilemma. We show that low-confidence remasking improves a myopic proxy for quality while provably constraining the entropy of the induced sequence distribution. T
Brain Corp unveils BrainOS Clean 2.0 in partnership with Tennant
Brain Corp’s BrainOS Clean 2.0 introduces SelfPath AI, enabling Tennant robots to autonomously map and adapt routes without manual training. The post Brain Corp unveils BrainOS Clean 2.0 in partnership with Tennant appeared first on The Robot Report .
Knowledge Map
Connected Articles — Knowledge Graph
This article is connected to other articles through shared AI topics and tags.
More in Countries
Trust drives Korea’s generative AI adoption; usability and interaction sustain use - CHOSUNBIZ - Chosunbiz
<a href="https://news.google.com/rss/articles/CBMiekFVX3lxTFBnMnpqbERjM19jMTFyR1BienZ4MFEzbEhJWEpBa3UzSkJwZnhsWDZUNkFOM3ItemNsanNnY1lCZFFWaDJqeWd2NXZkUlRXX1NjVmtYMWdEYzNnR2NzUkJzT3hzWXB6OFBHdThxZHJZalZydmljeFNYRUR30gGOAUFVX3lxTE5ZczlLLXd3M3ZXTU9XMkM1VEJ1WVY5eC02UVN1NmtNTWtJY0pkZmhNZUI5ajBSRVl2OENBWElsVHdiQWtVUVdZWmJQX05sbnlvMEJJZmt3S0pVTHBlbHdyWWp6bjcwcllReDhLX3M3WlNNUTAwS1hLSXhnX3NFZ2w4TzE5dC1DbG1RM3BEMFE?oc=5" target="_blank">Trust drives Korea’s generative AI adoption; usability and interaction sustain use - CHOSUNBIZ</a> <font color="#6f6f6f">Chosunbiz</font>
10 лучших нейросетей для создания видео бесплатно: пошаговый гайд
<p>Давайте поговорим о том, как я создал <strong>видео за 15 минут</strong>, используя нейросети. Знаете, это не фантастика, а реальность! <strong>Нейросеть для создания видео</strong> стала настоящим спасением для многих, и в этом посте я расскажу, как вы можете использовать её для своих проектов.</p> <p>Вы хотите узнать, как легко и быстро создать видео? В этой статье я поделюсь не только списком <strong>10 лучших нейросетей для создания видео</strong> бесплатно, но и конкретными примерами использования, а также полезными советами. Читайте до конца, и, возможно, вы тоже решите взяться за создание контента с нуля!</p> <h2> Зачем использовать нейросети для создания видео? </h2> <p>Всё дело в том, что <strong>нейросети</strong> делают процесс создания видео более доступным и быстрым. Вы мож
Vilnius, Lithuania - ACX Spring Schelling 2026
This year's Spring ACX Meetup everywhere in Vilnius. Location: Lukiškių aikštė (Lukiškių square) - https://plus.codes/9G67M7QC+V8 Group Link: https://discord.gg/R8Ebg2bVaM Anyone interested is welcome. RSVPs not required. Contact: [email protected] Discuss
Discussion
Sign in to join the discussion
No comments yet — be the first to share your thoughts!