Chris Pratt on new film Mercy: I asked to be locked into an executioner's chair Being locked barefoot in an executioner's chair sounds uncomfortable, but that is what Chris Pratt requested for his latest film, Mercy. More familiar as a wisecracking action hero in blockbusters like Guardians of the Galaxy and Jurassic World, this role is quite a departure for him. He plays homicide detective Chris Raven, who's fighting for his life after being accused of murdering his wife. Raven is an alcoholic who wakes in the chair after a drinking binge, with just 90 minutes to convince an AI judge he's innocent, or he'll be executed immediately. The film is set in real time, so we see Raven defend his case - while enduring a crashing hangover.

We propose a novel Bayesian nonparametric classification model that combines a Gaussian process prior for the latent function with a Dirichlet process prior for the link function, extending the interpretative framework of de Finetti representation theorem and the construction of random distribution functions made by Ferguson (1973). This approach allows for flexible uncertainty modeling in both the latent score and the mapping to probabilities. We demonstrate the method performance using simulated data where it outperforms standard logistic regression.

The Federal Trade Commission has removed all posts from President Joe Biden's term in office from its business blog. This online publication has historically provided advice about how companies could best comply with consumer-protection regulations, covering topics such as artificial intelligence and how big tech companies have collected and used customer data. Currently, it has no content published between December 21, 2020 and March 7, 2025. Wired highlighted some of the notable content from the more than 300 blog posts that have been deleted. Several current and former FTC officials spoke to the publication about the change anonymously out of fear of retaliation.

The Trump administration's Federal Trade Commission has removed four years worth of business guidance blogs as of Tuesday morning, including important consumer protection information related to artificial intelligence and the agency's landmark privacy lawsuits under former chair Lina Khan against companies like Amazon and Microsoft. More than 300 blogs were removed. On the FTC's website, the page hosting all of the agency's business-related blogs and guidance no longer includes any information published during former president Joe Biden's administration, current and former FTC employees, who spoke under anonymity for fear of retaliation, tell WIRED. These blogs contained advice from the FTC on how big tech companies could avoid violating consumer protection laws. One now deleted blog, titled "Hey, Alexa! What are you doing with my data?" explains how, according to two FTC complaints, Amazon and its Ring security camera products allegedly leveraged sensitive consumer data to train the ecommerce giant's algorithms.

Radioactive material went missing in New Jersey earlier this month, fueling conspiracy theories that it could be linked to the mysterious drone sightings. A piece of medical equipment used for cancer scans was shipped from the Nazha Cancer Center in Newfield on December 2 for disposal, but the'shipping container arrived at its destination damaged and empty.' The device, known as a'pin source,' contained a small amount of Germanium-68 (Ge-68) that is used to calibrate a medical scanner's accuracy. If handled without proper gear, it can cause radiation poisoning. The US Nuclear Regulatory Commission (NRC) issued an alert for the missing shipment deemed'less than a Category 3,' meaning it could cause permanent injury if mishandled.

Officer Wendy Venegas spoke softly in Spanish to the 14-year-old standing on the side of a narrow residential road in East Palo Alto. The girl's face was puffy from crying as she quietly explained what had happened. The Guardian's journalism is independent. We will earn a commission if you buy something through an affiliate link. The girl said her father had caught her and her boyfriend "doing stuff" that morning, and her dad had either struck or pushed the boy, Venegas later explained.

In October, 2020, Bob Ferguson, the attorney general of Washington State, launched an initiative to combat "election interference." A press release noted Donald Trump's repeated claims that the coming election would be "rigged" against him, leading many of Ferguson's constituents to fear that the result was being delegitimized in advance. In response, Ferguson pledged to defend "the longstanding American tradition of a peaceful transition of power." This year, Ferguson ran for governor of Washington, as a Democrat. So, too, did Bob Ferguson, and Bob Ferguson.

Sampling the phase space of molecular systems -and, more generally, of complex systems effectively modeled by stochastic differential equations (SDEs)- is a crucial modeling step in many fields, from protein folding to materials discovery. These problems are often multiscale in nature: they can be described in terms of low-dimensional effective free energy surfaces parametrized by a small number of "slow" reaction coordinates; the remaining "fast" degrees of freedom populate an equilibrium measure conditioned on the reaction coordinate values. Sampling procedures for such problems are used to estimate effective free energy differences as well as ensemble averages with respect to the conditional equilibrium distributions; these latter averages lead to closures for effective reduced dynamic models. Over the years, enhanced sampling techniques coupled with molecular simulation have been developed; they often use knowledge of the system order parameters in order to sample the corresponding conditional equilibrium distributions, and estimate ensemble averages of observables. An intriguing analogy arises with the field of machine learning (ML), where generative adversarial networks (GANs) can produce high-dimensional samples from low-dimensional probability distributions. This sample generation is what is called, in equation-free multiscale modeling, a "lifting process": it returns plausible (or realistic) high-dimensional space realizations of a model state, from information about its low-dimensional representation. In this work, we elaborate on this analogy, and we present an approach that couples physics-based simulations and biasing methods for sampling conditional distributions with ML-based conditional generative adversarial networks (cGANs) for the same task. The "coarse descriptors" on which we condition the fine scale realizations can either be known a priori or learned through nonlinear dimensionality reduction (here, using diffusion maps). We suggest that this may bring out the best features of both approaches: we demonstrate that a framework that couples cGANs with physics-based enhanced sampling techniques can improve multiscale SDE dynamical systems sampling, and even shows promise for systems of increasing complexity (here, simple molecules).

Fox News Flash top entertainment and celebrity headlines are here. Sarah Ferguson expressed her shock and grief as she mourned the death of her former personal assistant, Jenean Chapman, who was murdered in Texas this week. The 63-year-old Duchess of York paid tribute to Chapman in an Instagram post that she shared on Thursday. "I am shocked and saddened to learn that Jenean Chapman, who worked with me as my personal assistant many years ago, has been murdered in Dallas aged just 46. A suspect is in custody," Ferguson wrote.

When technical writer and former WWII pilot Jonathan Ferguson changed his gender in 1958, it made the news in Britain. I've imagined the moment many times since I first read about it in a paper called "Hacking the Cis-Tem" by scholar Mar Hicks. Ferguson's name change, according to the U.K.'s Daily Telegraph and Morning Post, was straightforward: someone took a pen and amended a line in the Official Register. In my imagination, it was a fountain pen and written with a flourish, and in that moment Ferguson felt truly seen after years of hiding his true identity. I'm embellishing, but I want it to have been simple and meaningful.