Tootfinder

From Turing to Tomorrow: The UK's Approach to AI Regulation
Oliver Ritchie, Markus Anderljung, Tom Rachman
https://arxiv.org/abs/2507.03050 https://

From Turing to Tomorrow: The UK's Approach to AI Regulation
The UK has pursued a distinctive path in AI regulation: less cautious than the EU but more willing to address risks than the US, and has emerged as a global leader in coordinating AI safety efforts. Impressive developments from companies like London-based DeepMind began to spark concerns in the UK about catastrophic risks from around 2012, although regulatory discussion at the time focussed on bias and discrimination. By 2022, these discussions had evolved into a "pro-innovation" strategy, in w…

Beyond the Buzz: A Pragmatic Take on Inference Disaggregation
Tiyasa Mitra, Ritika Borkar, Nidhi Bhatia, Ramon Matas, Shivam Raj, Dheevatsa Mudigere, Ritchie Zhao, Maximilian Golub, Arpan Dutta, Sailaja Madduri, Dharmesh Jani, Brian Pharris, Bita Darvish Rouhani
https://arxiv.org/abs/2506.05508

Beyond the Buzz: A Pragmatic Take on Inference Disaggregation
As inference scales to multi-node deployments, disaggregation - splitting inference into distinct phases - offers a promising path to improving the throughput-interactivity Pareto frontier. Despite growing enthusiasm and a surge of open-source efforts, practical deployment of disaggregated serving remains limited due to the complexity of the optimization search space and system-level coordination. In this paper, we present the first systematic study of disaggregated inference at scale, evaluati…

An entangled photon source for the telecom C-band based on a semiconductor-confined spin
Petros Laccotripes, Junyang Huang, Ginny Shooter, Andrea Barbiero, Matthew S. Winnel, David A. Ritchie, Andrew J. Shields, Tina Muller, R. Mark Stevenson
https://arxiv.org/abs/2507.01648

An entangled photon source for the telecom C-band based on a semiconductor-confined spin
Multiphoton entangled states are a key resource for quantum networks and measurement-based quantum computation. Scalable protocols for generating such states using solid-state spin-photon interfaces have recently emerged, but practical implementations have so far relied on emitters operating at short wavelengths, incompatible with low-loss fibre transmission. Here, we take a key step towards the generation of telecom wavelength multi-qubit entangled states using an InAs/InP quantum dot. After e…

PartComposer: Learning and Composing Part-Level Concepts from Single-Image Examples
Junyu Liu, R. Kenny Jones, Daniel Ritchie
https://arxiv.org/abs/2506.03004

PartComposer: Learning and Composing Part-Level Concepts from Single-Image Examples
We present PartComposer: a framework for part-level concept learning from single-image examples that enables text-to-image diffusion models to compose novel objects from meaningful components. Existing methods either struggle with effectively learning fine-grained concepts or require a large dataset as input. We propose a dynamic data synthesis pipeline generating diverse part compositions to address one-shot data scarcity. Most importantly, we propose to maximize the mutual information between…

When I read commentary about suggestions for where C should go, I often think
back and give thanks that it wasn't developed under the advice of a worldwide
crowd.
-- Dennis Ritchie (1941-2011), creator of the C programming language and of
UNIX

Danke Guy Ritchie
#pastpuzzle 340
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https://www.pastpuzzle.de

GenHSI: Controllable Generation of Human-Scene Interaction Videos
Zekun Li, Rui Zhou, Rahul Sajnani, Xiaoyan Cong, Daniel Ritchie, Srinath Sridhar
https://arxiv.org/abs/2506.19840

GenHSI: Controllable Generation of Human-Scene Interaction Videos
Large-scale pre-trained video diffusion models have exhibited remarkable capabilities in diverse video generation. However, existing solutions face several challenges in using these models to generate long movie-like videos with rich human-object interactions that include unrealistic human-scene interaction, lack of subject identity preservation, and require expensive training. We propose GenHSI, a training-free method for controllable generation of long human-scene interaction videos (HSI). Ta…

"New tech gives second life to plastic farm waste"
#Plastic #Plastics #Environment

New tech gives second life to plastic farm waste
In a study published in the journal Recycling, the research team analyzed the thermal, physical and mechanical properties of various plastic waste materials to determine the optimal temperature to process them using a groundbreaking, cost-efficient melting machine developed by partner company Ritchie Technology (Rtec).

Early warning skill, extrapolation and tipping for accelerating cascades
Peter Ashwin, Robbin Bastiaansen, Anna S. von der Heydt, Paul Ritchie
https://arxiv.org/abs/2506.01981

Early warning skill, extrapolation and tipping for accelerating cascades
We investigate how nonlinear behaviour (both of forcing in time and of the system itself) can affect the skill of early warning signals to predict tipping in (directionally) coupled bistable systems when using measures based on critical slowing down due to the breakdown of extrapolation. We quantify the skill of early warnings with a time horizon using a receiver-operator methodology for ensembles where noise realisations and parameters are varied to explore the role of extrapolation and how it…

Quantifying Diagnostic Signal Decay in Dementia: A National Study of Medicare Hospitalization Data
Federica Spoto, Jiazi Tian, Jonas H\"ugel, Daniel T. Ortega, Christine S. Ritchie, Deborah Blacker, Francesca Dominici, Chirag J. Patel, Daniel Mork, Hossein Estiri
https://arxiv.org/abs/2506.14669

Quantifying Diagnostic Signal Decay in Dementia: A National Study of Medicare Hospitalization Data
Background: Artificial intelligence (AI) models in healthcare depend on the fidelity of diagnostic data, yet the quality of such data is often compromised by variability in clinical documentation practices. In dementia, a condition already prone to diagnostic ambiguity, this variability may introduce systematic distortion into claims-based research and AI model development. Methods: We analyzed Medicare Part A hospitalization data from 2016-2018 to examine patterns of dementia-related ICD-10 …

Hollow-grams: Generalized Entanglement Wedges from the Gravitational Path Integral
Sami Kaya, Pratik Rath, Kyle Ritchie
https://arxiv.org/abs/2506.10064 ht…

Hollow-grams: Generalized Entanglement Wedges from the Gravitational Path Integral
Recently, Bousso and Penington (BP) made a proposal for the entanglement wedge associated to a gravitating bulk region. In this paper, we derive this proposal in time-reflection symmetric settings using the gravitational path integral. To do this, we exploit the connection between random tensor networks (RTNs) and fixed-geometry states in gravity. We define the entropy of a bulk region in an RTN by removing tensors in that region and computing the entropy of the open legs thus generated in the …