Penalty Shootouts: Is the Team That Kicks First More Likely to Win? Penalty kicks are already proving critical to big wins at this year's World Cup. But the advantage in penalty kicks has more to do with psychological effects than who kicks first. A penalty kick during the Netherlands' round of 32 match against Morocco. In a World Cup, some of the most important matches are decided by a penalty shootout. When that moment comes, the captains want to win the coin toss to decide the order of the kicks.

The sun's violent death could look like this A white dwarf and an unusual exoplanet hint that'stellar death is not the end.' More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. Breakthroughs, discoveries, and DIY tips sent six days a week. By signing up, you confirm you are 16+, will receive newsletters and promotional content and agree to our Terms of Use and acknowledge the data practices in our Privacy Policy . The sun still has a long life ahead of it, say five billion years or so.

Xbox and Nintendo have also been pushing consumers towards digital games. Sony has announced that PlayStation is going all digital, with physical game disc production being discontinued starting January 2028. After this date, you'll only be able to purchase new games digitally on the PlayStation Store and in retailers. Sony says its decision is a response to shifting trends in consumer preference, with digital sales significantly outweighing physical. Last year, physical game distribution accounted for just three percent of PlayStation's revenue, and the fact that the PS5 Pro launched in 2024 without a disc drive was a pretty good indication of Sony's future direction.

The UN's independent scientific panel for AI has published its first report. Artificial intelligence development has been progressing at such a rapid pace that current governance systems are unable to keep up, the UN's Independent International Scientific Panel on Artificial Intelligence says in its preliminary report . The panel, consisting of members from around the world, will provide the information needed to stage the UN Global Dialogue on AI Governance. It will take place in Geneva, where member states will discuss how to manage the technology, and is scheduled to begin on July 6. In its report, the panel discusses how quickly AI capabilities have evolved over the past few years.

Things to Do in L.A. Tap to enable a layout that focuses on the article. I'm not sure I want to be around that long Mel Brooks, shown in January, celebrated his 100th birthday this week. This is read by an automated voice. Please report any issues or inconsistencies here . See more from the L.A. Times in Google Search.

I am on holiday later this month, so I'm pleased to find there's a really wide range of intriguing new science fiction to take with me. I'm particularly keen to get cracking on a tale by Sheila Armstrong about strange ancient things found in a bog, but I'm also excited to read a new book by one of my favourite authors, Paul Tremblay (even if it does sound very disturbing). And I'm looking forward to the high-concept thrillers and classic space-set sci-fi on offer, too - not forgetting the first new novel released in 30 years. This sounds a little -like and ideal summer reading for those of us who enjoy a good high-concept thriller. It's set in a near future where you can outsource your emotional pain thanks to a biotech company, Eudaimonia.

The UN panel said its approach to AI was'scientific, not political'. The UN panel said its approach to AI was'scientific, not political'. A new United Nations report warns that the development of artificial intelligence may exacerbate global inequality and proposes a shared framework for how to responsibly develop AI, as adoption and investment into the technology accelerates unevenly across the world. "Access to AI tools alone does not produce equal benefit," the report states. "Countries that rely on foreign models, cloud infrastructure and data pipelines may gain access to AI while losing practical control over its standards, safeguards and local fit."

Kawasaki Heavy Industries is collaborating with companies including Nvidia to integrate AI and robotics, and last month announced a development hub in Silicon Valley. Kawasaki Heavy Industries is finalizing plans to raise about ¥200 billion ($1.23 billion) by issuing new shares and convertible bonds to fund capital expenditure, according to two sources familiar with the matter. The company will decide on the details of the issuance as soon as this week, the sources said. The shares and convertible bonds will be sold mainly to overseas institutional investors, one of the sources said. The plan to raise funds has not been reported earlier. Kawasaki Heavy said in a statement that it is considering various capital strategies including issuing new shares and bonds but that nothing has been decided.

Deep neural networks (DNNs) frequently fail to generalize to out-of-distribution (OOD) medical images because of variations in scanners and acquisition protocols. Retraining DNN models to address these distribution shifts is often impractical due to the high cost of acquiring and annotating new medical datasets. To address this, we introduce VarDeepPCA, a novel lightweight variational DNN framework designed to restore/refine degraded segmentation maps by leveraging intrinsic geometric priors. Unlike existing approaches that require target-domain data or extensive pre-training, our VarDeepPCA explicitly learns a distribution of valid anatomical geometries using only small in-distribution (ID) datasets. Theoretically, our novel variational learning framework leverages a reinterpretation of the softmax mapping to implicitly perform exact distribution modeling, thereby enabling computationally efficient, sampling-free learning and inference. This also enables VarDeepPCA to provide uncertainty estimates associated with its restored segmentation maps. We empirically validate our framework across 4 distinct clinical applications, using 14 publicly available datasets, involving segmentation of the myocardium, neuroretinal rim, prostate, and fetal head. Comparisons against 15 existing methods demonstrate that VarDeepPCA consistently restores segmentation maps produced by the existing methods on OOD data to (i) significantly improve anatomical plausibility of geometries and clinical utility of the segmentations, and (ii) significantly reduce errors, without needing any more training data than that used by existing methods.

Many modern Language Model (LM) pipelines return an averaged model, such as an exponential moving average of the training iterates, rather than the final iterate itself. This raises a fundamental question: given that we will return an iterate average, how should we change training to improve the performance of this average? We study this question by formulating optimizer design for the iterate-average estimator as an optimal-control problem. In a continuous-time stochastic quadratic model, we solve for the control strategy that minimizes the error of the returned average subject to a penalty on the size of the intervention. A practical approximation to this controller yields PACE, a lightweight wrapper around AdamW that pulls the live weights toward their exponential moving average with a clipped, per-coordinate control strength. We prove that a stylized version of PACE converges at the standard stochastic convex optimization rate, up to a factor depending on the averaging rule, while in the quadratic setting it can strictly improve the limiting squared error of the iterate-average estimator and can do so by an arbitrarily large factor on some instances. Empirically, our results suggest that PACE improves over AdamW and EMA-evaluated AdamW in supervised fine-tuning of 1-2B parameter LMs and in GPT-2 pretraining on FineWeb for a wide range of learning rates, decay schedules, and other hyperparameters.