Three-dimensional (3D) finite-element simulations of cardiovascular flows provide high-fidelity predictions to support cardiovascular medicine, but their high computational cost limits clinical practicality. Reduced-order models (ROMs) offer computationally efficient alternatives but suffer reduced accuracy, particularly at vessel bifurcations where complex flow physics are inadequately captured by standard Poiseuille flow assumptions. We present an enhanced numerical framework that integrates machine learning-predicted bifurcation coefficients into zero-dimensional (0D) hemodynamic ROMs to improve accuracy while maintaining computational efficiency. We develop a resistor-resistor-inductor (RRI) model that uses neural networks to predict pressure-flow relationships from bifurcation geometry, incorporating linear and quadratic resistances along with inductive effects. The method employs non-dimensionalization to reduce training data requirements and apriori flow split prediction for improved bifurcation characterization. We incorporate the RRI model into a 0D model using an optimization-based solution strategy. We validate the approach in isolated bifurcations and vascular trees, across Reynolds numbers from 0 to 5,500, defining ROM accuracy by comparison to 3D finite element simulation. Results demonstrate substantial accuracy improvements: averaged across all trees and Reynolds numbers, the RRI method reduces inlet pressure errors from 54 mmHg (45%) for standard 0D models to 25 mmHg (17%), while a simplified resistor-inductor (RI) variant achieves 31 mmHg (26%) error. The enhanced 0D models show particular effectiveness at high Reynolds numbers and in extensive vascular networks. This hybrid numerical approach enables accurate, real-time hemodynamic modeling for clinical decision support, uncertainty quantification, and digital twins in cardiovascular biomedical engineering.

As a mechanical engineering graduate student, Alison Marsden studied how to make submarines more stealthy. Moving through the ocean, submarines make sounds that can reveal their location. While earning her PhD at Stanford University in the early 2000s, Marsden conducted U.S. Navy-funded research that used sophisticated computer modeling to optimize the shape of the submarines' hydrofoils, which work like airplane wings, generating lift and stabilizing the submarine underwater. Her aim: to minimize telltale churning sounds and enable the vessels to cruise subsurface, undetected. Marsden has always loved the science of fluid mechanics and she enjoyed the technical aspects of her submarine research, but she knew national defense work would not sustain her interest long-term.

Except they only came to a few departments, mainly the traditionally IT ones. According to Luke Marsden, CEO and founder of Dotscience, enterprise-grade artificial intelligence (AI) and machine learning is being held back, in part, because the mathematicians and statisticians behind it are stuck in the days of Waterfall -- still emailing code back and forth to each other. Dotscience, a collaboration tool for end-to-end machine learning data and model management, recently ran a survey of enterprises. The resulting State of Development and Operations of AI Applications 2019 included results like how 63.2% of businesses reported they are spending between $500,000 and $10 million on their AI efforts. But 60.6% of respondents continued to experience operational challenges.

AI machine learning has far-reaching benefits for the finserv industry, from operational efficiency to the fight against financial crime. A recent Twitter chat hosted by Refinitiv answered some of the biggest questions about using AI in financial services. How is artificial intelligence (AI) impacting the financial services industry? The responses from our recent Twitter chat reveal how AI machine learning is being used for both simple, repetitive tasks as well as in more sophisticated -- sometimes unexpected -- ways. For some, the largest benefit of AI machine learning is that it forces financial services companies to reinvent themselves and focus more on customer experience. "They either disrupt with AI or are disrupted by AI", said Helen Yu, founder and CEO of Tigon Advisory.

Billed as "the fastest thing alive," Sonic the Hedgehog was created and produced by Sega nearly thirty years ago. After over a quarter century as a gaming icon, Sega's "Sonic the Hedgehog" will finally get his due on the silver screen. Variety reported on Wednesday night that Paramount's planned "live-action/animation" hybrid film will star Westworld's James Marsden and be executive produced by Deadpool director Tim Miller. The yet-untitled picture is due for release on Nov. 15, 2019. Paramount secured the film rights to the game in 2017 and appointed director Jeff Fowler to helm the project.

James Marsden plays robot host Teddy Flood in Westworld. James Marsden is the poster boy for charming robots. In Sydney this week to promote Westworld, he was on stage in front of a giant poster of himself playing sentient robot Teddy Flood in the HBO show. Marsden might have ditched the cowboy hat and stubble in real life, but he still looks like a theme park's version of a perfect human. But the good guy Teddy of season one (who died five times but was still so gosh-darn polite) has made way for a darker Teddy in season two.

Are your colleagues lousy at communicating with each other? A chatbot could help, specifically one called CoachBot. Developed by the London-based HR company Saberr, it asks about workplace dynamics and provides the team with reports. A unit within the UK's National Health Service is trialling it, as are 10 companies, including Unilever and Logitech. When Coachbot arrives in the workplace, staff have to introduce themselves to it.

"Westworld" star James Marsden is visibly thrilled over the 2017 Golden Globe nomination of the show in the Best Television Series category, so much so that he treated his girlfriend Edei (real name Emma Deigman) to a shopping spree in Beverly Hills. Marsden, who plays host Teddy Flood in the HBO sci-fi series, sported a khaki bomber jacket, according to the Daily Mail. His girlfriend wore an all-black ensemble comprised of ripped leather trousers, a denim jacket and baker boy hat. Prior to dating British singer Edei, Marsden was married to Mary Elizabeth Linde, the daughter of country music songwriter Dennis Linde, for 11 years between 2000 and 2011. They have two kids together: Jack Holden, 15, and Mary James, 11.

"X-Men" star James Marsden jumped at the chance to be a part of HBO's new sci-fi series "Westworld" because it gave him a chance to live a childhood dream. Marsden told Stuff that being on the set enabled him to live "out that eight-year-old fantasy of being a cowboy gunslinger again – putting on chaps, a cowboy hat, a gun and riding horses." But what the actor really came to appreciate about the show is not just the elaborate Wild West costumes and setting. Marsden said the show will make viewers question humanity -- or the concept of humanity -- as they try to figure out who are really humans and robotic "hosts." "It's kind of personal," the actor said.

Before HBO's new sci-fi drama "Westworld" hits the small screen, fans already know of certain characters who are robotic "hosts." But as for the other characters, show creators Jonathan Nolan and Lisa Joy would rather have fans determine for themselves whether they are humans or hosts. Evan Rachel Wood's character Dolores Abernathy has already been outed as a host, but the actress told the L.A. Times that fans would have a difficult time guessing the identities of other Westworld mainstays. "It's a show you really want to pay attention to while you're watching it. I think when this series is done, your DVRs are going to break because everyone is immediately going to go back and re-watch the whole thing, and it will probably be better the second time," she said.