Tootfinder

Azerbaijan gives eight journalists prison sentences ranging from 7.5 to 15 years, as part of a series of media trials set to obliterate independent reporting (Committee to Protect Journalists)
https://cpj.org/2025/06/8-journalists-g…

8 journalists given lengthy jail terms as Azerbaijan crushes free press - Committee to Protect Journalists
New York, June 23, 2025— Eight Azerbaijani journalists have received prison sentences ranging from 7 ½ to 15 years, as part of an ongoing series of media trials likely to obliterate independent reporting in the Caucasus nation. In a closed-door trial on Monday, columnist and peace activist Bahruz Samadov was sentenced by a court in...

After Marks and Spencer refused to say whether it paid a ransom, the UK's Home Office proposes that businesses will have to notify the government if they plan on paying a ransom to cyber criminals under new proposals.
https://www.gov.uk/government/news/uk-to-l

UK to lead crackdown on cyber criminals with ransomware measures
Measures to tackle the threat of ransomware and protect businesses and critical services will be taken forward with industry following public consultation.

NEAR$^2$: A Nested Embedding Approach to Efficient Product Retrieval and Ranking
Shenbin Qian, Diptesh Kanojia, Samarth Agrawal, Hadeel Saadany, Swapnil Bhosale, Constantin Orasan, Zhe Wu
https://arxiv.org/abs/2506.19743

NEAR$^2$: A Nested Embedding Approach to Efficient Product Retrieval and Ranking
E-commerce information retrieval (IR) systems struggle to simultaneously achieve high accuracy in interpreting complex user queries and maintain efficient processing of vast product catalogs. The dual challenge lies in precisely matching user intent with relevant products while managing the computational demands of real-time search across massive inventories. In this paper, we propose a Nested Embedding Approach to product Retrieval and Ranking, called NEAR$^2$, which can achieve up to $12$ tim…

ANTIHEROES-PRODIGE: Quantifying the connection from envelope to disk with the IRAM 30m telescope and NOEMA I. Attack of the streamers: L1448N's fight for order in the chaos
C. Gieser, P. Caselli, D. M. Segura-Cox, J. E. Pineda, L. A. Busch, M. T. Valdivia-Mena, M. J. Maureira, Y. Lin, T. H. Hsieh, Y. R. Chou, L. Bouscasse, P. C. Cort\'es, N. Cunningham, A. Dutrey, A. Fuente, Th. Henning, A. Lopez-Sepulcre, J. Miranzo-Pastor, R. Neri, D. Semenov, M. Tafalla, S. E. van Terwisga

ANTIHEROES-PRODIGE: Quantifying the connection from envelope to disk with the IRAM 30m telescope and NOEMA I. Attack of the streamers: L1448N's fight for order in the chaos
Star formation is a hierarchical process ranging from molecular clouds down to individual protostars. In particular how infalling asymmetric structures, called streamers, delivering new material onto protostellar systems, are connected to the surrounding envelope is not understood. We investigate the connection between the cloud material at 10000 au scales down to 300 au scales towards L1448N in the Perseus star-forming region hosting three young Class 0/I protostellar systems. Sensitive molecu…

This is the first FPGA (Trion T20) I've ever seen where the bitstream size depends on the package!
The BGA324 and BGA400 include a hard DDR PHY while the smaller parts don't. I wonder if some/most of the extra 2.5 Mbits of data is firmware for some kind of hard processor that does PHY initialization?
The other deltas are likely related to the MIPI DPHY core, although I'm not sure why the Q10 or F256 packages would be larger than the Q144 since they don't have MIPI…

AbRank: A Benchmark Dataset and Metric-Learning Framework for Antibody-Antigen Affinity Ranking
Chunan Liu, Aurelien Pelissier, Yanjun Shao, Lilian Denzler, Andrew C. R. Martin, Brooks Paige, Mariia Rodriguez Martinez
https://arxiv.org/abs/2506.17857

AbRank: A Benchmark Dataset and Metric-Learning Framework for Antibody-Antigen Affinity Ranking
Accurate prediction of antibody-antigen (Ab-Ag) binding affinity is essential for therapeutic design and vaccine development, yet the performance of current models is limited by noisy experimental labels, heterogeneous assay conditions, and poor generalization across the vast antibody and antigen sequence space. We introduce AbRank, a large-scale benchmark and evaluation framework that reframes affinity prediction as a pairwise ranking problem. AbRank aggregates over 380,000 binding assays from…

Temporal pattern generation with tunable repetition rate using semiconductor laser periodic dynamics
Apostolos Argyris
https://arxiv.org/abs/2506.18570 htt…

Temporal pattern generation with tunable repetition rate using semiconductor laser periodic dynamics
In this work, a long-cavity semiconductor laser subject to optical feedback is exploited to generate repetitive temporal patterns with enhanced intra-pattern sample diversity. Stable limit cycle dynamics characterized by multiple frequency harmonics are experimentally demonstrated by considering a 2 m external cavity with appropriate optical feedback conditions. This simple configuration can enable stable and continuous generation of periodic waveforms with a tunable repetition rate ranging fro…

Mixture of Encoders is a vector-native alternative that models both structured and unstructured data in a unified embedding space. Join Filip Makraduli as he introduces the method, demonstrates how it powers natural language search and real-time recommendations, and shares open-source tools and benchmarks for replacing complex hybrid stacks.
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Let's start football season with some takes, plus the strangest walk-off win https://www.nytimes.com/athletic/6506943/2025/07/22/nfl-power-rankings-the-pulse/

Fanfiction in the Age of AI: Community Perspectives on Creativity, Authenticity and Adoption
Roi Alfassi, Angelora Cooper, Zoe Mitchell, Mary Calabro, Orit Shaer, Osnat Mokryn
https://arxiv.org/abs/2506.18706

Fanfiction in the Age of AI: Community Perspectives on Creativity, Authenticity and Adoption
The integration of Generative AI (GenAI) into creative communities, like fanfiction, is reshaping how stories are created, shared, and valued. This study investigates the perceptions of 157 active fanfiction members, both readers and writers, regarding AI-generated content in fanfiction. Our research explores the impact of GenAI on community dynamics, examining how AI affects the participatory and collaborative nature of these spaces. The findings reveal responses ranging from cautious acceptan…