Youngkin, joined by Virginia Attorney General Jason Miyares and other state attorneys general, compared human trafficking enforcement to addressing transnational gangs. "We must have multi-state and federal support in order to dismantle the networks, not just arrest an individual, we've got to unpack the networks," Youngkin told a crowd of a few hundred. The Trump administration has been a boon to human trafficking enforcement efforts, Youngkin said, noting he met with top Justice Department officials at the White House after the inauguration to discuss the matter and found them receptive. Virginia law enforcement has since been coordinating with the federal government to take down foreign gang operations, which Youngkin said overlaps with the human trafficking space. Youngkin used the example of gang crime inside correctional centers, which he said was the first "thread" his team pulled.

Optimal management of cross-asset infrastructure is a complex problem that requires adept inspection and maintenance policies addressing stochastic degradation impacts. According to the 2021 ASCE infrastructure report card [1], the US infrastructure is in fair to poor condition, earning a cumulative grade of C-, with components nearing the end of their useful lives and at high risk of failure. Pavements and bridges are indicative examples of inadequate infrastructure. One in every five miles of pavements is in poor condition, and 7.5% of bridges are structurally deficient. Economic analyses indicate that the US Department of Transportation fell 50% short of the funds required to sustain the national transportation system [1], which is also reflected in the available resources at individual State transportation agencies. The Virginia Department of Transportation, for example, reported that 50% of the State's bridges have exceeded their useful lives, and the required funds to replace them are five times greater than the estimated available funds over the next fifty years [2]. Inspection and Maintenance (I&M) policies are therefore indispensable towards efficiently distributing available economic and environmental resources for transportation systems. Making optimal decisions in complex and uncertain environments presents a variety of difficulties, including heterogeneity of asset classes, a high number of components resulting in vast state and action spaces, unreliable observations, limited availability of resources, and several related risks. Optimal solutions that define inspection and maintenance policies should thus incorporate concepts such as (i) online and offline data learning, (ii) imperfect information support, (iii) stochastic action outcomes considerations, and (iv) optimization of long-term goals under multiple constraints (e.g., safety targets or resource constraints).

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Challenges in Intelligent Traffic Monitoring (ITMo) are exacerbated by the large quantity and modalities of data and the need for the utilization of state-of-the-art (SOTA) reasoners. We formulate the problem of ITMo and introduce HANS, a neuro-symbolic architecture for multi-modal context understanding, and its application to ITMo. HANS utilizes knowledge graph technology to serve as a backbone for SOTA reasoning in the traffic domain. Through case studies, we show how HANS addresses the challenges associated with traffic monitoring while being able to integrate with a wide range of reasoning methods

Spring Oaks Capital, LLC has hired Paul Hurlocker as Chief Technology Officer. Paul will be based in Richmond, Virginia, and report to President & CEO Tim Stapleford. Paul joins from Capital One where he served as the Vice President of the Center for Machine Learning, an in-house consultancy and center of excellence for machine learning product delivery, innovation, education, research and development, and partnership across the business. Paul joined Capital One through the acquisition of Notch, a machine learning consulting firm that Paul founded in 2014. Prior to founding Notch and serving as its Chief Executive Officer until its 2018 acquisition by Capital One, Paul served in senior software development roles at Red Hat, Affinion, Plan- G, and other leading technology firms.

According to The Wall Street Journal, virtual simulations incorporating artificial intelligence (AI) are being used to improve health care workers' bedside manner. Doctors, nurses and other caregivers in southern Maine are being trained in a virtual environment that simulates the conditions that patients with Alzheimer's disease, cancer and substance addictions experience. At the Hospice of Southern Maine in Scarborough, health care workers wear virtual reality headsets and are able to move their hands, pick up objects and get a panoramic view of the hospice setting as if they are the patient. The patient's family--in a simulated form--is present at the virtual bedside. Such examples demonstrate the remarkable advances in skills development and training, thanks to technology such as artificial intelligence--when machines learn based on experience--and virtual and augmented reality.

GoPro CEO Nick Woodman introduces the foldable Karma drone during a press event in Olympic Valley, Calif. in September. Six days after the release of GoPro's first-ever drone in October, Brian Warholak was itching to get airborne. As an employee at a Chesapeake, Va.-based government contractor, Warholak, 43, had few opportunities during the workweek to fly his new toy. But on Friday, he left his desk early, unpacked his GoPro Karma from its carrying case and set it on a manicured lawn near the company parking lot. In the video of Warholak's aeronautic excursion, the drone lurches upward, pausing for its master to pan the attached camera.