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.

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 .

Gaussian Processes (GPs) are a powerful tool for Bayesian time-series modeling, yet their cubic computational cost remains a severe barrier for application to long, high-cadence datasets in astronomy. While specialized scalable solvers like Celerite elegantly reduce this scaling to linear time, repeatedly evaluating the exact likelihood during iterative Bayesian sampling is a bottleneck for developing more complex models, like hierarchical or additive models in which Celerite is only one component. To make this inference computationally tractable, we introduce a generative surrogate framework. By utilizing a Variational Autoencoder (VAE) to learn a compressed representation of the Celerite prior, we map highly correlated stochastic dependencies into a low-dimensional, isotropic manifold. This transition completely bypasses exact covariance operations, shifting the computational burden to a rapid neural network forward pass. Through an extensive simulation study, we show that the generative surrogate accurately reproduces the structural fidelity of exact physical kernels like Celerite. Finally, we demonstrate embedding our VAE approximation into an additive model that combines Celerite and a hidden Markov model (HMM) for stellar flare detection in time series data of stars. We evaluate the joint VAE+HMM architecture against the exact Celerite+HMM framework on empirical astrophysical time series and demonstrate that the proposed methodology achieves significant reductions in computational time, enabling the rigorous, large-scale characterization of stellar flares across massive data archives.

Science A.I.'s First Big Math Breakthrough Is Not What It Seems But it can help us do genuinely creative work--for a reason you might not expect. Sign up for the Slatest to get the most insightful analysis, criticism, and advice out there, delivered to your inbox daily. Last month, OpenAI announced that its latest version of ChatGPT had solved a major math problem, one that had stumped experts for 80 years. This was considered among the most important unsolved problems in combinatorics, a prominent branch of math and computer science dealing with finite objects and arrangements. As opposed to previous A.I.-powered breakthroughs that involved back-and-forth conversations between a chatbot and a human expert, this was cracked with a single prompt.

Objective gait assessment in Parkinson's Disease (PD) is limited by the absence of large, diverse, and clinically annotated motion datasets. We introduce CARE-PD, the largest publicly available archive of 3D mesh gait data for PD, and the first multi-site collection spanning 9 cohorts from 8 clinical centers. All recordings (RGB video or motion capture) are converted into anonymized SMPL meshes via a harmonized preprocessing pipeline. CARE-PD supports two key benchmarks: supervised clinical score prediction (estimating Unified Parkinson's Disease Rating Scale, UPDRS, gait scores) and unsupervised motion pretext tasks (2D-to-3D keypoint lifting and full-body 3D reconstruction). Clinical prediction is evaluated under four generalization protocols: within-dataset, cross-dataset, leave-one-dataset-out, and multi-dataset in-domain adaptation. To assess clinical relevance, we compare state-of-the-art motion encoders with a traditional gait-feature baseline, finding that encoders consistently outperform handcrafted features. Pretraining on CARE-PD reduces MPJPE (from 60.8 mm to 7.5 mm) and boosts PD severity macro-F1 by 17 percentage points, underscoring the value of clinically curated, diverse training data. CARE-PD and all benchmark code are released for non-commercial research at https://neurips2025.care-pd.ca.