Tootfinder

London-based "neocloud" startup Nscale closed a $433M pre-Series C SAFE round from Nvidia, Nokia, Dell, and others, after raising a $1.1B Series B on Sept. 25 (John Reynolds/Tech.eu)
https://tech.eu/2025/10/01/nscale-closes-433m-round-days-after…

Nscale closes $433M round, days after bagging $1.1BN funding
Nscale, the UK-based AI data centre startup, has closed a $433 million funding round, just days after bagging a $1.1 billion funding round, as the vast investment in AI infrastructure shows no signs of abating.Nscale, which pitches itself as a "hyperscaler engineered for AI", was named as a key local AI infrastructure partner for OpenAI, Microsoft and Nvidia, which announced significant investments into the UK AI ecosystem last week, coinciding with the visit of President Trump.The latest $433m…

"'The President lacks the authority': Trump's tariffs 'triggered chaos,' should be declared unconstitutional, manufacturers say"
NCLA seeks summary judgment win over Trump's tariffs
https://lawandcrime.com/high-profile/the-president-lacks-the-authority-trumps-tariffs-triggered-chaos-should-be-declared-unconstitutional-manufacturers-say/

Tensor Network Loop Cluster Expansions for Quantum Many-Body Problems
Johnnie Gray, Gunhee Park, Glen Evenbly, Nicola Pancotti, Garnet Kin-Lic Chan
https://arxiv.org/abs/2510.05647

Tensor Network Loop Cluster Expansions for Quantum Many-Body Problems
We analyze the tensor network loop cluster expansion, introduced in arXiv:2504.07344 as a systematic correction to belief propagation, in the context of general quantum many-body problems. We provide numerical examples of the accuracy and practical applicability of the approach for the computation of ground-state observables for high bond dimension tensor networks, in two- and three-dimensions, with open and periodic boundary conditions, and for spin and fermion problems.

Do Robots Really Need Anthropomorphic Hands?
Alexander Fabisch, Wadhah Zai El Amri, Chandandeep Singh, Nicol\'as Navarro-Guerrero
https://arxiv.org/abs/2508.05415 https://…

Do Robots Really Need Anthropomorphic Hands?
Human manipulation skills represent a pinnacle of their voluntary motor functions, requiring the coordination of many degrees of freedom and processing of high-dimensional sensor input to achieve such a high level of dexterity. Thus, we set out to answer whether the human hand, with its associated biomechanical properties, sensors, and control mechanisms, is an ideal that we should strive for in robotics-do we really need anthropomorphic robotic hands? This survey can help practitioners to ma…

Conditional validity and a fast approximation formula of full conformal prediction sets
Nicolai Amann
https://arxiv.org/abs/2508.05272 https://arxiv.org/pd…

Conditional validity and a fast approximation formula of full conformal prediction sets
Prediction sets based on full conformal prediction have seen an increasing interest in statistical learning due to their universal marginal coverage guarantees. However, practitioners have refrained from using it in applications for two reasons: Firstly, it comes at very high computational costs, exceeding even that of cross-validation. Secondly, an applicant is typically not interested in a marginal coverage guarantee which averages over all possible (but not available) training data sets, but…

One Patch to Caption Them All: A Unified Zero-Shot Captioning Framework
Lorenzo Bianchi, Giacomo Pacini, Fabio Carrara, Nicola Messina, Giuseppe Amato, Fabrizio Falchi
https://arxiv.org/abs/2510.02898 …

One Patch to Caption Them All: A Unified Zero-Shot Captioning Framework
Zero-shot captioners are recently proposed models that utilize common-space vision-language representations to caption images without relying on paired image-text data. To caption an image, they proceed by textually decoding a text-aligned image feature, but they limit their scope to global representations and whole-image captions. We present \frameworkName{}, a unified framework for zero-shot captioning that shifts from an image-centric to a patch-centric paradigm, enabling the captioning of a…

Unveiling the Role of Data Uncertainty in Tabular Deep Learning
Nikolay Kartashev, Ivan Rubachev, Artem Babenko
https://arxiv.org/abs/2509.04430 https://ar…

Unveiling the Role of Data Uncertainty in Tabular Deep Learning
Recent advancements in tabular deep learning have demonstrated exceptional practical performance, yet the field often lacks a clear understanding of why these techniques actually succeed. To address this gap, our paper highlights the importance of the concept of data uncertainty for explaining the effectiveness of the recent tabular DL methods. In particular, we reveal that the success of many beneficial design choices in tabular DL, such as numerical feature embeddings, retrieval-augmented mod…

Imaging shapes of ground-state uranium-238 nuclei in high-energy nuclear collisions at RHIC
Chunjian Zhang (for the STAR Collaboration)
https://arxiv.org/abs/2510.02689 https://…

Imaging shapes of ground-state uranium-238 nuclei in high-energy nuclear collisions at RHIC
The shape and orientation of colliding nuclei play a crucial role in determining the initial conditions of the quark-gluon plasma (QGP), which influence key observables such as anisotropic and radial flow. In these proceedings, we present the measurements of $v_2$, $p_{\rm T}$ fluctuations and $v_2-p_{\rm T}$ correlations in $^{238}$U + $^{238}$U and $^{197}$Au + $^{197}$Au collisions at center of mass energies $\sqrt{s_{\rm NN}}=$ 193 and 200 GeV, respectively. Our results reveal significant d…

An LLM-enabled semantic-centric framework to consume privacy policies
Rui Zhao, Vladyslav Melnychuk, Jun Zhao, Jesse Wright, Nigel Shadbolt
https://arxiv.org/abs/2509.01716 http…

An LLM-enabled semantic-centric framework to consume privacy policies
In modern times, people have numerous online accounts, but they rarely read the Terms of Service or Privacy Policy of those sites, despite claiming otherwise, due to the practical difficulty in comprehending them. The mist of data privacy practices forms a major barrier for user-centred Web approaches, and for data sharing and reusing in an agentic world. Existing research proposed methods for using formal languages and reasoning for verifying the compliance of a specified policy, as a potentia…

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