He Wrote a Book About Antifa. Rutgers historian Mark Bray is trying to flee to Spain after an online campaign from far-right influencers was followed by death threats. He was turned back at the airport on his first attempt. A professor at Rutgers University who wrote a book about " antifa " almost a decade ago is trying--and struggling--to flee the US for Europe after a weeks-long online campaign against him by far-right influencers was followed by death threats. Mark Bray, a historian at Rutgers who specializes in Spanish history and radicalism, has been a far-right target ever since he published in 2017.

Near-term quantum systems tend to be noisy. Crosstalk noise has been recognized as one of several major types of noises in superconducting Noisy Intermediate-Scale Quantum (NISQ) devices. Crosstalk arises from the concurrent execution of two-qubit gates on nearby qubits, such as \texttt{CX}. It might significantly raise the error rate of gates in comparison to running them individually. Crosstalk can be mitigated through scheduling or hardware machine tuning. Prior scientific studies, however, manage crosstalk at a really late phase in the compilation process, usually after hardware mapping is done. It may miss great opportunities of optimizing algorithm logic, routing, and crosstalk at the same time. In this paper, we push the envelope by considering all these factors simultaneously at the very early compilation stage. We propose a crosstalk-aware quantum program compilation framework called CQC that can enhance crosstalk mitigation while achieving satisfactory circuit depth. Moreover, we identify opportunities for translation from intermediate representation to the circuit for application-specific crosstalk mitigation, for instance, the \texttt{CX} ladder construction in variational quantum eigensolvers (VQE). Evaluations through simulation and on real IBM-Q devices show that our framework can significantly reduce the error rate by up to 6$\times$, with only $\sim$60\% circuit depth compared to state-of-the-art gate scheduling approaches. In particular, for VQE, we demonstrate 49\% circuit depth reduction with 9.6\% fidelity improvement over prior art on the H4 molecule using IBMQ Guadalupe. Our CQC framework will be released on GitHub.

Schwan Park, father of speed cuber Max Park, 21, tells Fox News Digital the story of his son's record-breaking achievement with Rubik's Cube: "We always knew he was good," he said. A mom of a child with autism is assuring other parents that their autistic children "do not need to be fixed" -- rather, they need to be better understood. Kelley Coleman, author of the upcoming book, "Everything No One Tells You About Parenting a Disabled Child," is encouraging other parents not to be afraid of seeking out diagnoses. "All that will do is keep us from being able to enable our children to be the best version of themselves," the Los Angeles-based mother of two said in an interview with Fox News Digital. Coleman's comments come as documented cases of autism spectrum disorder (ASD) have been on the rise.

A miracle of the modern age, countless works of science fiction have predicted an inevitable confrontation in the not-so-distant future: man versus machine. Now, according to researchers at Rutgers University, it appears machines have already bested humanity when it comes to at least one scientific subject. Professor Vikas Nanda of Rutgers University has spent over two decades meticulously studying the intricate nature of proteins, the highly complex substances present in all living organisms. He has dedicated his professional life to contemplating and understanding the unique patterns of amino acids that make up proteins and determine if they become hemoglobin, collagen, etc. Additionally, Prof. Nanda is an expert on the mysterious step of self-assembly, in which certain proteins clump together to form even more complex substances.

When Ludwig van Beethoven died in 1827, he was three years removed from the completion of his Ninth Symphony, a work heralded by many as his magnum opus. He had started work on his 10th Symphony but, due to deteriorating health, wasn't able to make much headway: all he left behind were some musical sketches. Ever since then, Beethoven fans and musicologists have puzzled and lamented over what could have been. His notes teased at some magnificent reward, albeit one that seemed forever out of reach. Now, thanks to the work of a team of music historians, musicologists, composers and computer scientists, Beethoven's vision will come to life.

This article is part of an op-ed series on engineering fields that will change the world by Rutgers School of Engineering faculty. We all know machines can think - and learn. Robots scoot around our belongings to clean our floors. Thermostats determine how much to warm or cool our home. And Alexa, Siri or Google help many of us maneuver through the day.

Having your blood drawn can be the stuff of nightmares -- but maybe a robot could help. Engineers at Rutgers University announced Wednesday that they've built a tabletop machine that combines aspects of robotics, AI, and ultrasound imaging to reliably draw blood or insert a catheter to deliver drugs and medicine. Their research, published in the journal Nature Machine Intelligence, concludes that their blood'bot may even outperform human medical staff. Despite being a common procedure, about 20 percent of blood drawings can prove difficult if patients have veins that are small, rolling, collapsed, or otherwise hard to access, leading to increased poking and unnecessary suffering. That's where the robot comes in.

Having your blood drawn can be the stuff of nightmares -- but maybe a robot could help. Engineers at Rutgers University announced Wednesday that they've built a tabletop machine that combines aspects of robotics, AI, and ultrasound imaging to reliably draw blood or insert a catheter to deliver drugs and medicine. Their research, published in the journal Nature Machine Intelligence, concludes that their blood'bot may even outperform human medical staff. Despite being a common procedure, about 20 percent of blood drawings can prove difficult if patients have veins that are small, rolling, collapsed, or otherwise hard to access, leading to increased poking and unnecessary suffering. That's where the robot comes in.

Artificial intelligence has exploded onto the art scene over the past few years, with everybody from artists to tech giants experimenting with the new tools that technology provides. While the generative adversarial networks (GANs) that power the likes of Google's BigGAN are capable of creating spectacularly strange images, they require a large degree of human interaction and guidance. Not so with the AICAN system developed by Professor Ahmed Elgammal and his team at Rutgers University's AI & Art Lab. It's a nearly autonomous system trained on 500 years worth of Western artistic aesthetics that produces its own interpretations of these classic styles. AICAN stands for "Artificial Intelligence Creative Adversarial Network" and while it utilizes the same adversarial network architecture as GANs, it engages them differently.

Now and then, a painter like Claude Monet or Pablo Picasso comes along and turns the art world on its head. They invent new aesthetic styles, forging movements such as impressionism or abstract expressionism. But could the next big shake-up be the work of a machine? An artificial intelligence has been developed that produces images in unconventional styles – and much of its output has already been given the thumbs up by members of the public. The idea is to make art that is "novel, but not too novel", says Marian Mazzone, an art historian at the College of Charleston in South Carolina who worked on the system.