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Bidding war erupts for world’s oldest bank as Italy’s Intesa gatecrashes BPM offer
A bidding war over Italy's Monte dei Paschi di Siena has erupted between rivals Intesa Sanpaolo and Banco BPM, with the two lenders vie for control of the world's oldest bank. Intesa on Monday announced an unsolicited offer of 30.6 billion euros ($35.3 billion), hoping to usurp its rival and create Europe's second-biggest bank by market capitalization. In a statement, its offer outlined a premium of 12.5% versus MPS's closing share price on Friday.
Italian bank BPM proposes €50bn merger with Monte dei Paschi
Planned combination of ‘equals’ is latest attempt at banking consolidation in the country
Intesa Sanpaolo launches bid for Mps bank, merger set for December 2026
Within 24 hours of Banco BPM’s merger bid, Intesa Sanpaolo launches a full public offer for Monte dei Paschi di Siena. If approved, the deal would create Europe’s second-largest banking group. New round in the banking consolidation game.
A Conceptual Model and Methodology for Sustainability-aware, IoT-enhanced Business Processes
arXiv:2508.05301v2 Announce Type: replace Abstract: The real-time data collection and automation capabilities offered by the Internet of Things (IoT) are revolutionizing and transforming Business Processes (BPs) into IoT-enhanced BPs, showing high potential for improving sustainability. Although already studied in Business Process Management (BPM), sustainability research has primarily focused on environmental concerns. However, achieving a holistic and lasting impact requires a systematic...
Neuro-Symbolic Predictive Process Monitoring
arXiv:2509.00834v2 Announce Type: replace Abstract: This paper addresses the problem of suffix prediction in Business Process Management (BPM) by proposing a Neuro-Symbolic Predictive Process Monitoring (PPM) approach that integrates data-driven learning with temporal logic-based prior knowledge. While recent approaches leverage deep learning models for suffix prediction, they often fail to satisfy even basic logical constraints due to the lack of explicit integration of domain knowledge...
Beyond the Thin-Layer Limit: Differentiable Volumetric Training for Visible-Range Diffractive Neural Networks
arXiv:2606.07896v1 Announce Type: cross Abstract: Diffractive deep neural networks (D2NNs) promise miniaturized, power-efficient, light-speed optical front-ends for machine vision, yet the most mature demonstrations remain in the terahertz regime, built from readily fabricated millimeter-scale neurons. Translating D2NNs to the visible range, where nearly all vision pipelines operate, was long blamed on the difficulty of fabricating nanoscale neurons; but even after recent advances removed...
Beyond the Thin-Layer Limit: Differentiable Volumetric Training for Visible-Range Diffractive Neural Networks
arXiv:2606.07896v1 Announce Type: new Abstract: Diffractive deep neural networks (D2NNs) promise miniaturized, power-efficient, light-speed optical front-ends for machine vision, yet the most mature demonstrations remain in the terahertz regime, built from readily fabricated millimeter-scale neurons. Translating D2NNs to the visible range, where nearly all vision pipelines operate, was long blamed on the difficulty of fabricating nanoscale neurons; but even after recent advances removed that...
Show HN: Breathe CLI – Paced resonance breathing in the macOS terminal
I built a terminal app that paces slow breathing at 6 breaths per minute for vagal tone training. It's a single Python file, stdlib only, no dependencies — just run breathe and follow the bar. I'm a cardiology patient (HFrEF).