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Pulse · reuters.com

reuters.com · Oct 22

AI startup Vectorial raises $3 million in funding to expand human behaviour simulation platform

Pulse · unn.ua

unn.ua · Oct 22

From AI agent privilege escalation to PHP vulnerabilities, the market is increasingly focusing on the "security premium" in the AI era. Morgan Stanley outlines the long-term bull case for cybersecurity and near-term opportunities.

УНН News of the World ✎ Meta is planning a large-scale Muse network, but is facing privacy concerns and high costs. The company's free cash flow has turned negative.

Pulse · telecompaper.com

telecompaper.com · Oct 22

Zuckerberg wants to create a giant online network of AI agents

Orange Business and Nvidia said they are collaborating on enterprise voice AI deployments by testing a prototype with customers that delivers a more responsive experience with lower latency. The two partners are trialling a distributed approach that spreads AI inference across central-cloud and regional PoP (Point of Presence) resources. This enables a more natural conversational flow by improving performance and optimising GPU capacity. It also helps keep voice data local where required.

Pulse

Top picks this weekarXiv

arXiv

Oct 15

MLExpert: Towards a Generalist Agentic Model for Autonomous Machine Learning Engineering

AI Agentic model for autonomous machine learning engineering with long-horizon optimization.

The Decoder

Oct 22

Anthropic takes on Grok Bot, Meta's Muse, and OpenAI's Dots with its always-on agent "Claude Duet"

Anthropic has launched Claude Duet, a proactive AI agent that handles tasks on its own, even when the user is offline. The app is built on Claude Opus 5.5 and connects to services like Gmail, Slack, and Stripe through more than 6,000 connectors. It asks for approval before…

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arXiv

Sep 18

One Prompt Does Not Fit All: Self-Meta-Evolve for Personalized Information Extraction

Large language models (LLMs) are increasingly deployed for enterprise information extraction (IE), where the same document must be reorganized differently for each user. Existing prompt optimization methods, however, rely on a single prompt optimized against a global objective,…

arXiv

Sep 18

Learned Parametric Emotion Editing: Real-Time Affective Filtering for On-Device Social Media Video

Problematic internet use affects a growing share of the population, yet common interventions, e.g., time limits, blocking, forced breaks, are coercive and easily circumvented. We explore a less restrictive alternative: adapting the emotional intensity of visual content. Prior…

arXiv

Sep 18

Calibrating Teacher--Student Discrepancy for On-Policy Distillation

On-policy distillation (OPD) improves reasoning models by learning the token-level discrepancy between a stronger teacher and an on-policy student. However, this discrepancy does not purely reflect the capability gap between the teacher and the student: it also contains…

arXiv

Sep 18

Multicentre Bi-atrial Segmentation from LGE-MRI for Atrial Fibrillation with a 2D and 3D Framework

Accurate delineation of bi-atrial structures from late gadolinium enhancement MRI (LGE-MRI) is an important prerequisite for structural analysis and future fibrosis-quantification workflows in atrial fibrillation (AF). However, automated segmentation is challenging due to…

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