Fox News chief national security correspondent Jennifer Griffin discusses how the Genesis health system is impacting recruiting on'Special Report.' Forced to do more with less and learning from the war in Ukraine, U.S. special operations commanders are juggling how to add more high-tech experts to their teams while still cutting their overall forces by about 5,000 troops over the next five years. The conflicting pressures are forcing a broader restructuring of the commando teams, which are often deployed for high-risk counterterrorism missions and other sensitive operations around the world. The changes under consideration are being influenced by Russia's invasion of Ukraine. U.S. Army Special Operations Command, which bears the brunt of the personnel cuts, is eyeing plans to increase the size of its Green Beret teams -- usually about 12 members -- to bring in people with more specialized and technical abilities.

Seminal research in the field of graph neural networks (GNNs) has revealed a direct correspondence between the expressive capabilities of GNNs and the $k$-dimensional Weisfeiler-Leman ($k$WL) test, a widely-recognized method for verifying graph isomorphism. This connection has reignited interest in comprehending the specific graph properties effectively distinguishable by the $k$WL test. A central focus of research in this field revolves around determining the least dimensionality $k$, for which $k$WL can discern graphs with different number of occurrences of a pattern graph $P$. We refer to such a least $k$ as the WL-dimension of this pattern counting problem. This inquiry traditionally delves into two distinct counting problems related to patterns: subgraph counting and induced subgraph counting. Intriguingly, despite their initial appearance as separate challenges with seemingly divergent approaches, both of these problems are interconnected components of a more comprehensive problem: "graph motif parameters". In this paper, we provide a precise characterization of the WL-dimension of labeled graph motif parameters. As specific instances of this result, we obtain characterizations of the WL-dimension of the subgraph counting and induced subgraph counting problem for every labeled pattern $P$. We additionally demonstrate that in cases where the $k$WL test distinguishes between graphs with varying occurrences of a pattern $P$, the exact number of occurrences of $P$ can be computed uniformly using only local information of the last layer of a corresponding GNN. We finally delve into the challenge of recognizing the WL-dimension of various graph parameters. We give a polynomial time algorithm for determining the WL-dimension of the subgraph counting problem for given pattern $P$, answering an open question from previous work.

"Learning about the social implications of the technology you're working on is really important," says senior Austen Roberson. Austen Roberson's favorite class at MIT is 2.S007 (Design and Manufacturing I-Autonomous Machines), in which students design, build, and program a fully autonomous robot to accomplish tasks laid out on a themed game board. "The best thing about that class is everyone had a different idea," says Roberson. "We all had the same game board and the same instructions given to us, but the robots that came out of people's minds were so different." The game board was Mars-themed, with a model shuttle that could be lifted to score points.

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. Eastern Washington quarterback Eric Barriere put up a mind-blowing stat line in the Eagles' 71-21 win over Idaho on Saturday. Eastern Washington got out to a hot start, outscoring Idaho 29-7 in the first quarter and then taking a 43-14 lead into the half. The Eagles were well on their way to victory and it helped that Barriere was playing out of his mind.

The workhorses of any food processing line are the motors and drives that allow so many moving parts to run in concert. Those motors and drives run the food and packaging production lines that processors rely on, and they are a major consideration of any automation strategy. Automation, the industrial internet of things and artificial intelligence all start with data. It's all about data collection, data management and knowing what to do with that information. A strategy for connecting everything in a plant to make data-driven decisions has to include the motors and drives.

As drones become a more common sight overhead, the government has started to think more and more about how to protect the skies. At CES 2017, the Federal Aviation Administration revealed that it is researching new ways to detect and defend against drones. FAA Administrator Michael Huerta took to the stage in Las Vegas to discuss new technologies designed to spot unauthorized unmanned aerial vehicles (UAVs) operating near important areas, with an emphasis on airports. According to Huerta, the organization has already tested some of its systems in busy airports in New York and Denver and smaller locales like Atlantic City. Later this year, the FAA plans to extend it tests at the Dallas-Fort Worth International Airport.