Raye channels old Hollywood glamour in an off-the-should gown as she arrives at the 2026 Oscars

The singer, known as Escapism, looked amazing in a striking red dress with a built-in, supportive corset.

The singer, known as Escapism, looked amazing in a striking red dress with a built-in, supportive corset.

The 30-year-old actor, known for his role in Hamnet, looked sharp in a black suit featuring silk lapels and a relaxed bow tie.

Scott told the Daily Mail that watching last week’s episodes of Couples Retreat was hard, as it reminded him of what he called a ‘toxic’ atmosphere during the show’s filming.

The 36-year-old actress, a frontrunner for Best Actress, has received widespread praise this awards season for her performance in Hamnet. She plays Agnes, a mother dealing with profound grief, in the film.

The 35-year-old actor plays Remmick, a centuries-old Irish vampire who haunts a small town in Mississippi during the year 1932, in a new movie that has received an impressive 16 award nominations.

As a lifestyle expert, I’ve been following the buzz around this year’s hosting gig, and it’s great to see the comedian back for a second time! He really stepped into a big role last year, taking over from Jimmy Kimmel, and it’s clear he’s doing a fantastic job continuing the tradition.

The 30-year-old actor has been nominated for Best Actor for his role in “Marty Supreme,” a film by Josh Safdie. The movie is based on the true story of a ping-pong player in 1950s New York City.

Oh my god, you guys, I was obsessed with what Stella said about that whole thing on Sunday! Apparently, after Filip confessed he was, like, totally scared of accidentally having a baby, then that super awkward conversation happened. I mean, she spilled all the details, and it was just… everything! I’ve rewatched it like a million times!

The 98th Academy Awards began with many celebrities using their red carpet arrivals at the Dolby Theatre in Los Angeles to express their political views.
![The study demonstrates how a fluid’s local chemical potential, defined as [latex]\beta\mu_{loc}(x) = \beta\mu - \beta V_{ext}(x)[/latex], and density profile [latex]\rho(x)[/latex] influence metadensity functionals-approximated here through mean-field theory and neural networks-to predict the scaled metadirect correlation function [latex]c_{\phi}(x,r)[/latex], revealing that even complex interparticle interactions governed by a repulsive potential can be modeled with surprising accuracy through automatic differentiation.](https://arxiv.org/html/2603.11973v1/x4.png)
A new machine learning framework enhances classical density functional theory by directly incorporating interparticle interactions, promising more accurate and efficient modeling of fluid behavior.