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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.

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arXiv

Oct 21

Context-Augmented, Session-Calibrated Blood Pressure Tracking from Photoplethysmography

Objective.To distinguish the contributions of acquisition context and photoplethysmography (PPG) to session-calibrated blood pressure (BP) tracking.Approach. The original comparison used three repeats of five-fold participant-level cross-validation in 653 AuroraBP participants,…

arXiv

Oct 21

ReSeg: Retraining-free segmentation of abdominal organs via generalizable semantic representation learning

Abdominal organ segmentation is essential in modern medical applications. While existing deep learning approaches demonstrate promising performance, their heavy reliance on large-scale image data raises concerns over generalization capability and privacy risks. This motivates…

arXiv

Oct 21

Causal world models under physical parameter shifts

World models predict how embodied systems evolve under actions, but their accuracy can degrade when physical conditions move outside the training distribution. We study two components of causal modeling: which inputs a predictor may use, and how its mechanism computes their…

arXiv

Oct 21

Internal Guidance as a Sampling Method for Tilted Diffusion Models

Reward guidance methods sample an exponential tilt of a base density using a diffusion model trained with only samples from the base distribution. Existing methods use what we call external guidance: additive terms in the drift or multiplicative terms on the transition…

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