Tootfinder

TIL what the word “polyfill” means in a (web) development context and I swear it is the worst jargon ever. Call it API emulation if you like descriptive terms, or a ‘shim’ if you like older well-entrenched jargon.
For me, “polyfill’ is what cheap ‘puffy’ winter coats are stuffed with rather than the more expensive and functional down. How that relates to making every web browser act like a superset of all of them is beyond me.

Hace 40 años, un niño de 11 se maravillaba por la emoción de todo su pueblo al conquistar la Copa.
Hoy, ese niño vuelve a su Catedral para intentar volver a vivir ese momento. Y se gane o se pierda dentro de dos horas, lo estš viviendo igual.
Porque ha cambiado todo desde entonces. Todo, menos el sentimiento.
#AupaAthletic

Musste bei dem Video von Sabine Hossenfelder, deren "no bullshit"-Haltung ich sehr mag, gerade an "What is real?" von Adam Becker (https://bookwyrm.social/book/27179/s/what-is-real) denken. Das fand ich sehr spannend und anregend.

Herman Hollerith (1860-­1929),
Columbia Univer­sity School of Mines EM 1879,
Columbia Univer­sity PhD 1890.
Herman Hollerith is widely regarded as the father of modern automatic computation. He chose the punched card as the basis for storing and processing information and he built the first punched-card tabulating and sorting machines as well as the first key punch, and he founded the company that was to become IBM. Hollerith's designs dominated the computing landscape fo…

Behavior Generation with Latent Actions
Seungjae Lee, Yibin Wang, Haritheja Etukuru, H. Jin Kim, Nur Muhammad Mahi Shafiullah, Lerrel Pinto
https://arxiv.org/abs/2403.03181

Behavior Generation with Latent Actions
Generative modeling of complex behaviors from labeled datasets has been a longstanding problem in decision making. Unlike language or image generation, decision making requires modeling actions - continuous-valued vectors that are multimodal in their distribution, potentially drawn from uncurated sources, where generation errors can compound in sequential prediction. A recent class of models called Behavior Transformers (BeT) addresses this by discretizing actions using k-means clustering to ca…

Populous: the Beginning: an enforced restart
The best game ever? I have often wondered if that was just nostalgia talking, with the game's sublime mix of action and strategy existing only in my memory. I've been without a means to play Populous: the beginning for some time now, but a recent GOG.com promotion let me rebuy it for £2.50 with various patches to allow it to play on modern machines.

Imputation of Missing Photometric Data and Photometric Redshift Estimation for CSST
Zhijian Luo, Zhirui Tang, Zhu Chen, Liping Fu, Wei Du, Shaohua Zhang, Yan Gong, Chenggang Shu, Junhao Lu, Yicheng Li, Xian-Min Meng, Xingchen Zhou, Zuhui Fan
https://arxiv.org/abs/2406.01719

Imputation of Missing Photometric Data and Photometric Redshift Estimation for CSST
Accurate photometric redshift (photo-$z$) estimation requires support from multi-band observational data. However, in the actual process of astronomical observations and data processing, some sources may have missing observational data in certain bands for various reasons. This could greatly affect the accuracy and reliability of photo-$z$ estimation for these sources, and even render some estimation methods unusable. The same situation may exist for the upcoming Chinese Space Station Telescope…

“The iPhone maker also has developed an advanced table-top home device that uses robotics to move a display around, they said.”
Source: “Apple Explores Home Robotics as Potential ‘Next Big Thing’ After Car Fizzles” https://www.bloomberg.com/news/article…

Apple (AAPL) Explores Home Robots After Abandoning Car Efforts
Apple Inc. has teams investigating a push into personal robotics, a field with the potential to become one of the company’s ever-shifting “next big things,” according to people familiar with the situation.

FusionDTI: Fine-grained Binding Discovery with Token-level Fusion for Drug-Target Interaction
Zhaohan Meng, Zaiqiao Meng, Iadh Ounis
https://arxiv.org/abs/2406.01651

FusionDTI: Fine-grained Binding Discovery with Token-level Fusion for Drug-Target Interaction
Predicting drug-target interaction (DTI) is critical in the drug discovery process. Despite remarkable advances in recent DTI models through the integration of representations from diverse drug and target encoders, such models often struggle to capture the fine-grained interactions between drugs and protein, i.e. the binding of specific drug atoms (or substructures) and key amino acids of proteins, which is crucial for understanding the binding mechanisms and optimising drug design. To address …