Sam Altman says AI has entered'singularity': Should we be worried? How is the US tech industry regulated? The 2014 US film Transcendence follows a dying scientist who uploads his mind to a supercomputer and becomes a near omnipotent intelligence. A year later, Ex Machina told the story of a humanoid robot who outsmarts her human handlers and escapes into the wider world. Both of these films, like many others from the realm of science fiction, referred to what is known as "the singularity", a moment in time when technology, particularly AI, surpasses human intelligence and becomes increasingly difficult to control.

'The writing assignments I give my students are gym tasks, not work tasks.' 'The writing assignments I give my students are gym tasks, not work tasks.' Should you use AI for a task? Here's a simple way to decide Sometimes, what matters isn't your output but what you put into the process. I teach public policy at the Harvard Kennedy School and the Munk School at the University of Toronto. And it will come as no surprise to you that my students regularly use AI to complete their writing assignments.

LIV Golf Team Championships in Michigan'highly likely' to be canceled: we're'disappointed' Lynx star Kayla McBride becomes latest to speak out on WNBA 3-point contest drama: 'Half a-- invite' Arch Manning isn't backing down from expectations, and neither is Steve Sarkisian, as CFP semis aren't enough USA Today writer invokes Emmett Till, says Caitlin Clark puts Black and queer players'in danger' by flopping Smokin' Hot Charley Hull suffers a brutal quadruple bogey, USA Today gasbags & Angel Reese is back at it! First overall pick Fernando Mendoza signs guaranteed deal with Raiders, who seem to be an'arrow up' NFL club White House defends WNBA star Sophie Cunningham after she speaks out in support of protecting women's sports NHL's top American-born scorer Patrick Kane signs deal to return to Chicago Blackhawks Florida coach Jon Sumrall's cell phone comments cause fans and media members to lose their minds, he responds Shane Bieber's strong Rays splits make Toronto Blue Jays the smart first 5 innings MLB bet Maria Sharapova attacks the dog days of summer by hopping into the pool, it pays to be OSU's QB & Shatner Ukrainian drone strikes knock 40% of Russia's oil refining capacity offline A'bigger than ever' attack on Iran could be coming: Report Gordon Chang warns of China's'people's war' against the US Linda McMahon says we shouldn't be afraid of AI Stephen A Smith is only looking out for Stephen A Smith, not Ryan Clark | Don't @ Me w/Dan Dakich Dan Dakich reacts to Stephen A Smith's message about Ryan Clark being laid off by ESPN Welcome to our 32-team 2026 NFL Season Preview Series! As we count down to kickoff, we're breaking down every franchise division-by-division. Today, we're spotlighting the Atlanta Falcons in the NFC South. Each preview analyzes the team's offseason moves, coaching staff, projected strengths and weaknesses, schedule, win total and best futures bet. Atlanta missed the playoffs in 2025-26 for an eighth consecutive season and fired now-former head coach Raheem Morris afterward.

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Atlanta Hawks dump former No. 1 pick Zaccharie Risacher after disappointing two-year stint Angel Reese thanks WNBA for suspending Sandy Brondello, frames'protected species' comment as discrimination Rory McIlroy should be the last golfer to criticize others for'performative' behavior Brexton Busch wins first race since father Kyle Busch's death in emotional return to Victory Lane Caitlin Clark'cheering hard' for Argentina over Spain in World Cup final: 'I want Messi' Ella Langley turns 63-year-old former NFL head coach into'Ella Fella' I am once again begging the folks in USC's athletic department to study some Greek literature Jaxson Dart's swimsuit model girlfriend gets patriotic, golfer Hailey Ostrom takes on Lake Powell & Bigfoot Caitlin Clark's former teammate calls out WNBA for suspending Tempo head coach over'protected species' remark Faith leaders divided on AI's role in worship Rod Blagojevich: Democratic Party infected with'virus of socialism' We've already been living in a'data center world': mikeroweWORKS Foundation CEO GOP lawmaker explains how litigation is the'problem' in energy projects Iranian regime has ruled the country'brutally' for 47 years: Defense of Democracies CEO Mark Levin: Trump is the ONLY president to recognize this... Iranian regime has proven they will not abide by'any agreement': Former Israeli ambassador OutKick Sports Angel Reese's latest WNBA controversy shows how victimhood became central to her brand From the Sandy Brondello'protected species' controversy to accusations against Caitlin Clark fans, Reese's formula is consistent. Dan Dakich responds to Annie Costable's claim that WNBA players receive more vitriol than male athletes in other sports. For some unknown reason, claiming victimhood is very popular in modern society. Many people seem to think being a victim earns them social capital, so they look for every opportunity to capitalize. A perfect example is WNBA star Angel Reese . WNBA star Angel Reese loves to play the victim card. Perhaps no prominent professional athlete embodies the desire to be seen as a victim as much as Reese, who has spent years painting herself as someone unfairly treated by fans, coaches, referees, reporters and society at large. Of course, that runs counter to the fact that Reese gained immense popularity, fame and money from the same society she regularly claims hates her. The latest example came this weekend, when Toronto Tempo coach Sandy Brondello was caught on a microphone referring to Reese as a protected species. It was immediately obvious what Brondello meant. She thought the referees were giving Reese preferential treatment.

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Cities across north-eastern Canada and the US are suffering from intense smoke brought on by wildfires burning across Ontario and Minnesota. Residents in New York, Boston and Toronto have been encouraged to avoid strenuous activity over potential health impacts caused by the pollution. Canada wildfires leave train'encased in flames' as smoke drifts towards US Where are the wildfires and how did they start? There are currently 858 wildfires actively burning across Canada - nearly 200 of those in Ontario - according to the Canadian Interagency Forest Fire Centre. Along the northern edge of Minnesota there are 17 fires that are still burning and an emergency declaration is in place to help mobilise suppression efforts.

It's not faster, and it's not legally required for signatures. 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. Writing in cursive won't make you write faster. 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 Sliced Wasserstein (SW) distance has emerged as a computationally attractive alternative to the Wasserstein distance by leveraging one-dimensional optimal transport along random projections. Standard estimators of the SW distance rely on Monte Carlo averages of one-dimensional Wasserstein distances computed via quantile functions, which require sorting projected samples and access to full datasets. In this work, we introduce a new class of estimators for the Sliced Wasserstein distance based on cumulative distribution functions (CDFs) of projected measures, that avoid sorting and scale via massive dataset parallelism. This class includes several estimators, some of them being indexed by hyperparameters controlling their variance or smoothness. We show that they are especially well suited to scenarios in which CDFs are more tractable than quantile functions, such as mixtures of Gaussians, and moreover that they are also naturally compatible with federated learning, since CDFs of projected data can be computed and aggregated locally without requiring the exchange of raw samples.

Federated learning has emerged as the foremost approach for decentralized model training with privacy preservation. The global class imbalance and cross-client data heterogeneity naturally coexist, and the mismatch between local and global imbalances exacerbates the performance degradation of the aggregated model. The agnosticism of global class distribution poses significant challenges for data-level methods, especially under extreme conditions with severe class absence across clients. In this paper, we propose FedReLa, a novel data-level approach that tackles the coexistence of data heterogeneity and class imbalance in federated learning. By re-labeling samples with a feature-dependent label re-allocator, FedReLa corrects biased global decision boundaries without requiring knowledge of the global class distribution. This modular, model-agnostic approach can be integrated with algorithmic methods to deliver consistent improvements without additional communication overhead. Through extensive experiments, our method significantly improves the accuracy of minority classes and the overall accuracy on stepwise-imbalanced and long-tailed datasets, outperforming the previous state of the art.