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Related Articles from SNS
Ovo Energy to pay more than £10m over prepayment meter monitoring failings
Regulator finds inadequate monitoring by firm could have exposed vulnerable customers ‘to clear risk of harm’Ovo Energy has agreed to pay more than £10m after the energy regulator for Great Britain, Ofgem, found a lack of monitoring of vulnerable customers with prepayment meters (PPMs) could have exposed them to a “clear risk of harm”. Ofgem found that Ovo did not adequately monitor its PPM customers, including those on the priority services register, leading to breaches of the watchdog’s...
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...
Ovo Energy to pay more than £10m over prepayment meter monitoring failings
Regulator finds inadequate monitoring by firm could have exposed vulnerable customers ‘to clear risk of harm’Ovo Energy has agreed to pay more than £10m after the energy regulator for Great Britain, Ofgem, found a lack of monitoring of vulnerable customers with prepayment meters (PPMs) could have exposed them to a “clear risk of harm”. Ofgem found that Ovo did not adequately monitor its PPM customers, including those on the priority services register, leading to breaches of the watchdog’s...
Ovo Energy to pay more than £10m over prepayment meter monitoring failings
Regulator finds inadequate monitoring by firm could have exposed vulnerable customers ‘to clear risk of harm’Ovo Energy has agreed to pay more than £10m after the energy regulator for Great Britain, Ofgem, found a lack of monitoring of vulnerable customers with prepayment meters (PPMs) could have exposed them to a “clear risk of harm”. Ofgem found that Ovo did not adequately monitor its PPM customers, including those on the priority services register, leading to breaches of the watchdog’s...
Generalizing Geometry-Guided Mamba as a Plug-and-Play Context Module for CNN-based Semantic Segmentation
arXiv:2606.08866v1 Announce Type: new Abstract: CNN-based semantic segmentation networks usually rely on context heads such as ASPP, PPM, or attention modules to enlarge the receptive field. These heads are effective but may introduce heavy computation, memory cost, or boundary leakage. This paper revisits Directional Geometric Mamba (G-Mamba) from DGM-Net and studies it as a plug-and-play context aggregation module rather than a complete new segmentation architecture.
Teenage Engineering: Introducing APC-2
professional audio disc recording system introducing: APC–2 a professional record cutter built and designed for producing original playback discs with superior sound quality in real time. available exclusively via our collaborative partners and masters of analog media, SUPERSENSE. our shared vision is to enable access to anyone who wants their music or sound on a physical record.
One Transit Is All You Need: Detecting Exoplanets Through Learned Stellar Behaviour with EXOVEIL
arXiv:2606.02778v1 Announce Type: cross Abstract: I present EXOVEIL, a transit detection system that learns what a star's brightness should look like and flags when reality disagrees. Unlike existing systems that require phase-folded input, EXOVEIL operates on raw flux time series and can detect planets that transit only once. A Transformer world model, trained on 16,499 Kepler light curves with transit-masked self-supervised learning, predicts expected stellar flux.
One Transit Is All You Need: Detecting Exoplanets Through Learned Stellar Behaviour with EXOVEIL
arXiv:2606.02778v2 Announce Type: replace-cross Abstract: I present EXOVEIL, a transit detection system that learns what a star's brightness should look like and flags when reality disagrees. Unlike existing systems that require phase-folded input, EXOVEIL operates on raw flux time series and can detect planets that transit only once. A Transformer world model, trained on 16,499 Kepler light curves with transit-masked self-supervised learning, predicts expected stellar flux.
Optically detected nuclear magnetic resonance of carbon-13 in bulk diamond
Announce Type: replace-cross Abstract: Precision measurements based on optically detected nuclear magnetic resonance offer exquisite sensitivity to absolute shifts in spin transition frequencies, with potential applications in fundamental physics experiments and inertial sensing. We investigate 13C nuclear spins in diamond as a candidate system for solid-state implementations, which hold the promise for high-fidelity readout of large numbers of coherent nuclear spins in millitesla or lower...