标签：#c

New US rules would legalize quiet supersonic flights without the sonic boom.

From what I understand, reviewers usually do not directly vote for these categories or nominate papers themselves. So how does the selection process typically work? Here are specific questions I wonder - Who actually selects the candidates: ACs, SACs, program chairs, award committees, or a separate committee? - Do ACs or committees read the camera-ready version, or is the decision based on the originally submitted/reviewed version? - Is the selection mostly based on reviewer scores, or do factors like novelty, impact, and discussion among ACs play a bigger role? submitted by /u/National-Resident244 [link] [留言]

BMVC reviews will be out tomorrow. Making this parent thread for discussion. All the best everyone! submitted by /u/Hot_Version_6403 [link] [留言]

I have not seen anyone put out a date for a new rocket, and actually hit it.

Paper Referred:- https://arxiv.org/pdf/2412.09871v1 Has anyone switched the transformer in the entropy model here to a Mamba model ? What could be the possible changes ? Just a ML fresher asking a genuine, since Mamba is more popular and saves computer (O(n)). Thanking you in advance ! submitted by /u/SoloLeveller07 [link] [留言]

Plex is pushing customers to newer features and more frequent payments.

For decades, to be a gamer was to accumulate a lot of stuff. Consoles, controllers, accessories, weird VR gloves that never worked properly, but mostly the games themselves. Over the years, games have come in every shape and size you can imagine. And now that era appears to be ending. On this episode of The […]

Early reports indicate there may be another case, but spread is thought to be localized.

I am a mid to late stage PhD student in ML. I've known this before, but only recently I started feeling this urgently: my mathematical foundations are shaky, because I kept "learning-things-as-I-go" when working on various problems. I likely have only a year or two left until I graduate, and before I do so, I want to really dedicate some time and focus to brush up on the fundamentals. Primarily, I want to improve my knowledge in Linear Algebra, Probability Theory, and Functional Analysis. For Lin. alg., I am looking at "Linear Algebra done right", and I think this book is sufficient for the topic, unless anyone thinks otherwise. I am not sure where to start for probability, as well as functional analysis. Rudin's books give me headaches. I instead started reading "A primer on RKHS" ( https://arxiv.org/abs/1408.0952 ) to "dip my toe" into functional analysis. Apart from the above, I might re-read PRML book (I've only read specific chapters before), and try to finish Pat Kidger's Just-Know-Stuff list ( https://kidger.site/thoughts/just-know-stuff ). Thoughts? Anyone have any book/resource recommendations? Someone told me to look into "the bright side of mathematics" on YouTube, anyone ever go through the videos there? I'm aware finding good, digestible resources is less than 10% of the challenge. The difficult part is sticking through and actually reading/working through these topics, while still juggling other academic responsibilities. submitted by /u/mvreich [link] [留言]

The federal agency says it will temporarily schedule the drug, which has been called “gas station heroin,” as a controlled substance—a boon for MAHA and the mainstream kratom industry.

It only works for a few divisions thanks to a lot of added materials.

The EU went after Google for the practice of bundling its search engine and browser with Android.