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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

Sep 23

Multitask Regression with Pairwise Fusion

We study multitask regression when coefficient sharing can differ by predictor. For a given predictor, many tasks may have the same coefficient while a few differ, and the exceptional tasks need not be the same for another predictor. We describe this structure by two…

arXiv

Sep 23

EnSIMem: Entity-Structured Indexing for Long-Term Agent Memory

An agent that interacts with users over long periods must recall facts, preferences, events, and changes from a continuously growing interaction history. Existing memory systems often compress interactions into generic summaries or retrieve anonymous text chunks, making it…

arXiv

Sep 23

Graph Learning with Spectral Connectivity Priors for Scarce Data

Learning a sparse graph from scarce data is practically important but challenging. Motivated by the desirable combination of local sparsity and strong global connectivity exhibited by expander-like graphs, we propose spectral connectivity-regularized graph learning (SCoGL), a…

arXiv

Sep 23

TimeEvo: Failure-Driven Self-Evolution of a Time Series Agent

Time series agents answer analytical questions by calling external tools, and which tools they carry is decided by people before the agent runs. However, we identify two failures in this setup. Human-Agent Tool Misalignment: a library of 21 expert-curated tools helps on some…

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