Now he's dead, here's the full story of what happened that day... and the ghastly aftermath no one knows about Wake up and see he's the master of the dark arts: MEGYN KELLY blows the lid on the REAL Mamdani... how are they missing this? 'Screaming' Sydney Sweeney'hates' that she was caught hiding in ex-fiancé's car: Now insiders spill truth about backseat rendezvous and lingering'frustrations' Mom is an Oscar winner who has acted with Selena Gomez and Nicole Kidman, who is this nepo kid who came out last year? Bella Thorne continues swimsuit season as she works sexy bikini for Los Cabo trip with her'love' Mark Emms Experts pinpoint typical life expectancy from initial dementia diagnosis - and there's a huge variation between different subtypes Diddy's male prison protector unmasked: How disgraced mogul has repaid him... and turned to God for repentance Teachers threatened over bloody'Problem Solved' T-shirts over claims they mocked murder of Charlie Kirk Astonishing moment Miss Universe winner storms out of this year's event after pageant president reprimands Miss Mexico and tells security to remove her for not showing'respect' Mystery of the'golfer's curse' is SOLVED: Scientists pinpoint why golf balls'lip out' after appearing to enter the hole READ MORE: Golf balls are a'product of colonial exploitation', exhibition says Experts have finally solved the mystery of one of the most infuriating occurrences in golf - the dreaded lip out. The phenomenon occurs when the golf ball appears to enter the hole, only to immediately pop back out again. Scientists have finally pinpointed the physics behind the'curse', which has plagued everyone from amateur hobbyists to PGA professionals. Best of all, they've revealed the best way to avoid it - keeping your score intact.

Recent advances in deep learning have led to more studies to enhance golfers' shot precision. However, these existing studies have not quantitatively established the relationship between swing posture and ball trajectory, limiting their ability to provide golfers with the necessary insights for swing improvement. In this paper, we propose a new dataset called CaddieSet, which includes joint information and various ball information from a single shot. CaddieSet extracts joint information from a single swing video by segmenting it into eight swing phases using a computer vision-based approach. Furthermore, based on expert golf domain knowledge, we define 15 key metrics that influence a golf swing, enabling the interpretation of swing outcomes through swing-related features. Through experiments, we demonstrated the feasibility of CaddieSet for predicting ball trajectories using various benchmarks. In particular, we focus on interpretable models among several benchmarks and verify that swing feedback using our joint features is quantitatively consistent with established domain knowledge. This work is expected to offer new insight into golf swing analysis for both academia and the sports industry.

Large language models (LLMs)-based query expansion for information retrieval augments queries with generated hypothetical documents with LLMs. However, its performance relies heavily on the scale of the language models (LMs), necessitating larger, more advanced LLMs. This approach is costly, computationally intensive, and often has limited accessibility. To address these limitations, we introduce GOLFer - Smaller LMs-Generated Documents Hallucination Filter & Combiner - a novel method leveraging smaller open-source LMs for query expansion. GOLFer comprises two modules: a hallucination filter and a documents combiner. The former detects and removes non-factual and inconsistent sentences in generated documents, a common issue with smaller LMs, while the latter combines the filtered content with the query using a weight vector to balance their influence. We evaluate GOLFer alongside dominant LLM-based query expansion methods on three web search and ten low-resource datasets. Experimental results demonstrate that GOLFer consistently outperforms other methods using smaller LMs, and maintains competitive performance against methods using large-size LLMs, demonstrating its effectiveness.

Indistinguishable objects often occur when modelling problems in constraint programming, as well as in other related paradigms. They occur when objects can be viewed as being drawn from a set of unlabelled objects, and the only operation allowed on them is equality testing. For example, the golfers in the social golfer problem are indistinguishable. If we do label the golfers, then any relabelling of the golfers in one solution gives another valid solution. Therefore, we can regard the symmetric group of size $n$ as acting on a set of $n$ indistinguishable objects. In this paper, we show how we can break the symmetries resulting from indistinguishable objects. We show how symmetries on indistinguishable objects can be defined properly in complex types, for example in a matrix indexed by indistinguishable objects. We then show how the resulting symmetries can be broken correctly. In Essence, a high-level modelling language, indistinguishable objects are encapsulated in "unnamed types". We provide an implementation of complete symmetry breaking for unnamed types in Essence.

Data sanitization in the context of language modeling involves identifying sensitive content, such as personally identifiable information (PII), and redacting them from a dataset corpus. It is a common practice used in natural language processing (NLP) to maintain privacy. Nevertheless, the impact of data sanitization on the language understanding capability of a language model remains less studied. This paper empirically analyzes the effects of data sanitization across several benchmark language-modeling tasks including comprehension question answering (Q&A), entailment, sentiment analysis, and text classification. Our experiments cover a wide spectrum comprising finetuning small-scale language models, to prompting large language models (LLMs), on both original and sanitized datasets, and comparing their performance across the tasks. Interestingly, our results suggest that for some tasks such as sentiment analysis or entailment, the impact of redaction is quite low, typically around 1-5%, while for tasks such as comprehension Q&A there is a big drop of >25% in performance observed in redacted queries as compared to the original. For tasks that have a higher impact, we perform a deeper dive to inspect the presence of task-critical entities. Finally, we investigate correlation between performance and number of redacted entities, and also suggest a strategy to repair an already redacted dataset by means of content-based subsampling. Additional details are available at https://sites.google.com/view/datasan.

Fox News Flash top sports headlines are here. Check out what's clicking on Foxnews.com. Whether it's your 10th time playing or your first, the Masters at Augusta National Golf Club is a daunting task for every golfer. It's the only major of the golfing season that's continuously played at the same course, yet golfers sometimes take weeks off between tournaments just to prepare for it. Like any sport, analytics factor into a golfer's preparation, with statisticians used by almost everyone on Tour, helping them track previous rounds on any given course to figure out a game plan each week.

This also becomes something of a wild card around another major marketing point for EA's game: The Ryder Cup. A press preview event in mid-January made reference to the inclusion -- in some fashion -- of the Ryder Cup, the highly popular semiannual event that pits the top golfers from the U.S. against their European peers. Presumably, a full Ryder Cup mode would include playable rosters for each side, similar to the Pro Bowl rosters in EA's Madden NFL franchise. But will all of those players be available in the game if the rosters include LIV golfers in real life?

On May 26, 1995, Bill Gates wrote the famous "Internet Tidal Wave" internal memo at Microsoft. This was a huge wake-up call for the desktop software company at the time. It immediately shifted priorities and resources for Microsoft to go after the nascent World Wide Web. I thought of this "Internet Tidal Wave" moment when I came across a helpful analogy from Hubspot CTO Dharmesh Shah a couple weeks ago: "Netscape was to the Internet what ChatGPT is to Artificial Intelligence. "The Internet existed before Netscape.

On May 26, 1995, Bill Gates wrote the famous "Internet Tidal Wave" internal memo at Microsoft. This was a huge wake-up call for the desktop software company at the time. It immediately shifted priorities and resources for Microsoft to go after the nascent World Wide Web. I thought of this "Internet Tidal Wave" moment when I came across a helpful analogy from Hubspot CTO Dharmesh Shah a couple weeks ago: "Netscape was to the Internet what ChatGPT is to Artificial Intelligence. "The Internet existed before Netscape.

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. A suspect accused of shooting at golfers on a Dallas golf course and hiding from authorities for hours inside a drainage ditch was subdued and taken into custody Wednesday with the help of a police robot. Kevin Knowles, 31, was taken into custody in connection with the shooting at Grover C. Keeton Golf Course, FOX 4 Dallas-Fort Worth reported, citing police. Knowles allegedly crashed a stolen car near the golf course before approaching a group of players on the fourth hole, the report said.