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Pulse · minepi.com

minepi.com · Oct 30

Pi Updates: Developer Portal Interface, BlockExplorer Token Tracking, SoloHost AI App Packaging, and PiVerify

Pulse · finance.yahoo.com

finance.yahoo.com · Oct 30

Q2 Eyes Personal AI Agents as Banking's Next Channel—and Fraud Frontier

Q2 (NYSE:QTWO) executives said artificial intelligence is creating new opportunities and risks for digital banking, with personal AI agents emerging as another channel through which consumers and businesses may interact with financial institutions.

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arXiv

Oct 28

Autonomous Quantum Measurement with Agentic AI

Quantum materials exhibit diverse electronic and functional phenomena, but their characterization requires extensive experimental expertise, iterative decision-making and accumulated laboratory knowledge that is difficult to document and transfer. Here we introduce Quantum Agent (QUANTA), an agentic artificial intelligence (AI) framework for autonomous quantum-materials characterization. Using a widely adopted Physical Property Measurement System (PPMS) as an experimental platform, QUANTA combines retrieval augmentation using scientific literature, experimental protocols and prior measurements with specialized agents for experimental planning, troubleshooting, and data interpretation. A separate deterministic control layer validates instrument actions. Guided by incoming data, QUANTA evaluates measurement quality, revises experimental plans and selects subsequent measurements. We demonstrate these capabilities through transport measurements of the topological Weyl semimetal TaP, as well as investigations of nonlinear responses in magnetic material Co2MnGa. These results establish QUANTA as a generalizable framework for evidence-driven, safeguarded and closed-loop…

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arXiv

Sep 23

PePESeg3D: Perception Prior Enhances Multi-Scale Segmentation for 3D Gaussian Splatting

Recent advancements in 3D Gaussian Splatting (3DGS) have extended its capabilities to multi-scale segmentation. Existing methods reconstruct a scene with Gaussian primitives and learn multi-scale segmentation features separately, which leaves the geometry unaware of semantic…

arXiv

Sep 23

RLVR landscapes for iterated multiplications can be benign: Insights from spin-glass theory

Despite the importance of reinforcement learning with verifiable rewards (RLVR), the extent to which it can learn new reasoning capabilities remains debated. Here we study the optimization landscape of RLVR on algorithmic tasks, such as iterated group and quasigroup…

arXiv

Sep 23

On the Diffusibility of High-Dimensional Latents

Representation Autoencoders (RAEs) enable diffusion models to operate in the feature spaces of pretrained visual encoders. However, many off-the-shelf encoders are not optimized for faithful reconstruction, discarding fine-grained visual details. As expected, finetuning these…

arXiv

Sep 23

The Null Is the Hard Part: Exact Tests for Memorization in Generative Models

Memorization audits of generative models read similarity scores against thresholds, with no null distribution, and the conclusions they support can be wrong. By MemBench's rule, the benchmark's mitigations roughly halve Stable Diffusion's memorization; audited with…

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