As a former military intelligence officer, serving in the Defense Intelligence Agency (DIA), I tracked foreign threats to the U.S. homeland, identifying adversaries' plans, intentions and capabilities that could harm Americans. I predicted Russia's invasion of Ukraine more than a year before it took place. In March, in my Fox News Digital article titled "Ignore FBI director's urgent warning about terrorist threats at our own peril," I predicted terrorist attacks striking inside the U.S. homeland, the kind that took place on New Year's Day in New Orleans and in Las Vegas. Here are the top three reasons why we will likely face more terrorism in America this year. This time, it will be something we haven't seen before.

Fox News Flash top sports headlines are here. Check out what's clicking on Foxnews.com. The 2025 Sugar Bowl was delayed until Thursday as the host city of New Orleans was hit by a deadly terror attack on New Year's Day. During the pre-game ceremony, the stadium held a moment of silence for the victims, after which Georgia and Notre Dame fans came together in a powerful stream of loud "U-S-A" chants. The scene highlighted the power and unification of American sports.

Fox News' Rachel Campos-Duffy and Griff Jenkins discuss the latest pop culture news during an appearance on'Fox & Friends Weekend.' Singer Lana Del Rey slammed paparazzi for following her and new husband, a Louisiana alligator tour guide, after their intimate wedding day. Del Rey, 39, and Jeremy Dufrene, a captain of an airboat tour company, reportedly tied the knot during a backyard ceremony in Louisiana on Sept. 26, according to Page Six. Their nuptials were hosted next to the Bayous des Allemends, where Dufrene operates his boat tours outside of New Orleans, the media outlet claimed. Singer Lana Del Rey slammed paparazzi for following her and new husband, a Louisiana alligator tour guide, with drones after their intimate nuptials. However, their special moment took a turn when Del Rey, born Elizabeth Grant, shared that paparazzi swarmed the couple with drones.

Thursday, June 6, 2024, marks 80 years since Allied armies stormed the beaches of Normandy, France during World War II on D-Day. The number of veterans who served in the war is shrinking by the year. But The National World War II Museum in New Orleans, Louisiana, is helping some of their stories live on through artificial intelligence. Eighteen World War II veterans are part of a new exhibit called "Voices From The Front" that opened to the public in March. It allows people to ask questions and get real responses from the veterans -- one of whom was there the day of the invasion.

Spatiotemporal networks' observational capabilities are crucial for accurate data gathering and informed decisions across multiple sectors. This study focuses on the Spatiotemporal Ranged Observer-Observable Bipartite Network (STROOBnet), linking observational nodes (e.g., surveillance cameras) to events within defined geographical regions, enabling efficient monitoring. Using data from Real-Time Crime Camera (RTCC) systems and Calls for Service (CFS) in New Orleans, where RTCC combats rising crime amidst reduced police presence, we address the network's initial observational imbalances. Aiming for uniform observational efficacy, we propose the Proximal Recurrence approach. It outperformed traditional clustering methods like k-means and DBSCAN by offering holistic event frequency and spatial consideration, enhancing observational coverage.

The third ML4H symposium was held in person on December 10, 2023, in New Orleans, Louisiana, USA. The symposium included research roundtable sessions to foster discussions between participants and senior researchers on timely and relevant topics for the \ac{ML4H} community. Encouraged by the successful virtual roundtables in the previous year, we organized eleven in-person roundtables and four virtual roundtables at ML4H 2022. The organization of the research roundtables at the conference involved 17 Senior Chairs and 19 Junior Chairs across 11 tables. Each roundtable session included invited senior chairs (with substantial experience in the field), junior chairs (responsible for facilitating the discussion), and attendees from diverse backgrounds with interest in the session's topic. Herein we detail the organization process and compile takeaways from these roundtable discussions, including recent advances, applications, and open challenges for each topic. We conclude with a summary and lessons learned across all roundtables. This document serves as a comprehensive review paper, summarizing the recent advancements in machine learning for healthcare as contributed by foremost researchers in the field.

An interactive exhibit opening Wednesday at the National WWII Museum will use artificial intelligence to let visitors hold virtual conversations with images of veterans, including a Medal of Honor winner who died in 2022. Voices From the Front will also enable visitors to the New Orleans museum to ask questions of war-era home front heroes and supporters of the U.S. war effort -- including a military nurse who served in the Philippines, an aircraft factory worker, and Margaret Kerry, a dancer who performed at USO shows and, after the war, was a model for the Tinker Bell character in Disney productions. Four years in the making, the project incorporates video-recorded interviews with 18 veterans of the war or the support effort -- each of them having sat for as many as a thousand questions about the war and their personal lives. Among the participants was Marine Corps veteran Hershel Woodrow "Woody" Wilson, a Medal of Honor Winner who fought at Iwo Jima, Japan. He died in June 2022 after recording his responses.

Longshot Democratic presidential candidate Rep. Dean Phillips, D-Minn., is distancing himself from a report that one of his campaign's former consultants hired a magician to create a deepfake of President Biden urging New Hampshire voters not to participate in last month's primary. Paul Carpenter, a magician from New Orleans, came forward and said he had made the deepfake for 1 and that a Democratic consultant Steve Kramer had paid him 150 to do it, according to an NBC report. Kramer is a get-out-the-vote specialist who worked on ballot access for the Phillips campaign and also worked on Kanye West's unsuccessful 2020 presidential campaign. "I'm disgusted that a consultant hired to assist my campaign [with] ballot access is alleged to have faked a robocall impersonating Joe Biden," Phillips wrote on X on Friday. "While I don't know the person, such behavior is despicable and I trust will be investigated by authorities. It's also despicable that the Party actively limits access to state ballots and blackballs reputable consultants who would otherwise work with challengers like me. The corruption in politics is pervasive and must be exposed and addressed."

We are interested in developing a data-driven method to evaluate race-induced biases in law enforcement systems. While the recent works have addressed this question in the context of police-civilian interactions using police stop data, they have two key limitations. First, bias can only be properly quantified if true criminality is accounted for in addition to race, but it is absent in prior works. Second, law enforcement systems are multi-stage and hence it is important to isolate the true source of bias within the "causal chain of interactions" rather than simply focusing on the end outcome; this can help guide reforms. In this work, we address these challenges by presenting a multi-stage causal framework incorporating criminality. We provide a theoretical characterization and an associated data-driven method to evaluate (a) the presence of any form of racial bias, and (b) if so, the primary source of such a bias in terms of race and criminality. Our framework identifies three canonical scenarios with distinct characteristics: in settings like (1) airport security, the primary source of observed bias against a race is likely to be bias in law enforcement against innocents of that race; (2) AI-empowered policing, the primary source of observed bias against a race is likely to be bias in law enforcement against criminals of that race; and (3) police-civilian interaction, the primary source of observed bias against a race could be bias in law enforcement against that race or bias from the general public in reporting against the other race. Through an extensive empirical study using police-civilian interaction data and 911 call data, we find an instance of such a counter-intuitive phenomenon: in New Orleans, the observed bias is against the majority race and the likely reason for it is the over-reporting (via 911 calls) of incidents involving the minority race by the general public.

The thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023) took place in New Orleans towards the end of last year. As part of the programme of invited talks, Lora Aroyo spoke about her work on responsible AI, specifically looking at the data annotation process and what this means for models that use that data. The rapid progress of AI in recent years has been, in large part, due to the availability of large quantities of data for model training. However, these advancements have left in their wake a trail of problematic model behaviours. Lora's research is focussed on studying the characteristics of data, such as stereotypes and biases, that impact on the models.