Tootfinder

UK and partners unite to sanction ministers inciting West Bank violence - GOV.UK https://www.gov.uk/government/news/uk-and-partners-unite-to-sanction-ministers-inciting-west-bank-violence

UK and partners unite to sanction ministers inciting West Bank violence
UK sanctions Israeli government ministers Itamar Ben-Gvir and Bezalel Smotrich in response to their repeated incitements of violence against Palestinian communities, alongside partners Australia, Canada, New Zealand and Norway

Aligning Proteins and Language: A Foundation Model for Protein Retrieval
Qifeng Wu, Zhengzhe Liu, Han Zhu, Yizhou Zhao, Daisuke Kihara, Min Xu
https://arxiv.org/abs/2506.08023

Aligning Proteins and Language: A Foundation Model for Protein Retrieval
This paper aims to retrieve proteins with similar structures and semantics from large-scale protein dataset, facilitating the functional interpretation of protein structures derived by structural determination methods like cryo-Electron Microscopy (cryo-EM). Motivated by the recent progress of vision-language models (VLMs), we propose a CLIP-style framework for aligning 3D protein structures with functional annotations using contrastive learning. For model training, we propose a large-scale dat…

Protriever: End-to-End Differentiable Protein Homology Search for Fitness Prediction
Ruben Weitzman, Peter M{\o}rch Groth, Lood Van Niekerk, Aoi Otani, Yarin Gal, Debora Marks, Pascal Notin
https://arxiv.org/abs/2506.08954

Protriever: End-to-End Differentiable Protein Homology Search for Fitness Prediction
Retrieving homologous protein sequences is essential for a broad range of protein modeling tasks such as fitness prediction, protein design, structure modeling, and protein-protein interactions. Traditional workflows have relied on a two-step process: first retrieving homologs via Multiple Sequence Alignments (MSA), then training models on one or more of these alignments. However, MSA-based retrieval is computationally expensive, struggles with highly divergent sequences or complex insertions &…

Protein folding with an all-to-all trapped-ion quantum computer
Sebasti\'an V. Romero, Alejandro Gomez Cadavid, Pavle Nika\v{c}evi\'c, Enrique Solano, Narendra N. Hegade, Miguel Angel Lopez-Ruiz, Claudio Girotto, Masako Yamada, Panagiotis Kl. Barkoutsos, Ananth Kaushik, Martin Roetteler
https://arxiv.org/abs/2506.07866…

Protein folding with an all-to-all trapped-ion quantum computer
We experimentally demonstrate that the bias-field digitized counterdiabatic quantum optimization (BF-DCQO) algorithm, implemented on IonQ's fully connected trapped-ion quantum processors, offers an efficient approach to solving dense higher-order unconstrained binary optimization (HUBO) problems. Specifically, we tackle protein folding on a tetrahedral lattice for up to 12 amino acids, representing the largest quantum hardware implementations of protein folding problems reported to date. Additi…

In a laboratory setting, humans have accelerated particles — protons, antiprotons, electrons, and positrons — to incredibly high energies: up to the TeV (trillions of electron-volts) scale.

But cosmic rays, also including protons, electrons, and other atomic nuclei, are produced up to far greater energies, at the PeV (quadrillions of electron-volts) scale and beyond.

These very high energy cosmic rays are produced somewhere in our own galaxy:
in natural, astrophysical…

Astronomers close in on the source of the highest energy particles
On Earth, our particle accelerators can reach tera-electron-volt (TeV) energies. Particles from space are thousands of times as energetic.

This https://arxiv.org/abs/2505.06732 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hepe…

Particle Identification with Deep Neural Networks Across Collision Energies in Simulated Proton-Proton Collisions
This study demonstrates a proof-of-concept application of a deep neural network for particle identification in simulated high transverse momentum proton-proton collisions, with a focus on evaluating model performance under controlled conditions. A model trained on simulated Large Hadron Collider (LHC) proton-proton collisions at $\sqrt{s} = 13\,\mathrm{TeV}$ is used to classify nine particle species based on seven kinematic-level features. The model is then tested on simulated high transverse m…

MLB acquires a minority stake in Jomboy Media and partners with the baseball-centered media company to collaborate on content activations, IP growth, and more (Todd Spangler/Variety)
https://variety.com/2025/digital/news/…

MLB Buys Stake in Jomboy Media, Partners for Digital Content
MLB inked a pact with Jimmy O'Brien's Jomboy Media, under which the league is acquiring a stake in his company and collaborating on digital content.

#TuneTuesday (June 10)
For #PrideMonth 🏳️‍🌈, I’m selecting #HeatherSmall’s song “Proud”, notably used in the American adaptation of the TV show

Taboola rolls out DeeperDive, its generative AI search engine for its publishing partners, starting with Gannett/USA Today and The Independent (Sara Fischer/Axios)
https://www.axios.com/2025/06/11/taboola-gen-ai-search

Exclusive: Taboola launches gen AI search engine for publishers called DeeperDive
Its debut publishing partners are Gannett/USA Today and The Independent.