Global conflicts and trouble spots have thrown the world into turmoil. Intelligence services have never been as necessary as they are today when it comes to providing political decision-makers with concrete, accurate, and up-to-date decision-making knowledge. This requires a common co-operation, a common working language and a common understanding of each other. The best way to create this "intelligence community" is through a harmonized intelligence education. In this paper, we show how joint intelligence education can succeed. We draw on the experience of Germany, where all intelligence services and the Bundeswehr are academically educated together in a single degree program that lays the foundations for a common working language. We also show how these experiences have been successfully transferred to a European level, namely to ICE, the Intelligence College in Europe. Our experience has shown that three aspects are particularly important: firstly, interdisciplinarity or better, transdisciplinarity, secondly, the integration of IT knowhow and thirdly, the development and learning of methodological skills. Using the example of the cyber intelligence module with a special focus on data-driven decision support, additionally with its many points of reference to numerous other academic modules, we show how the specific analytic methodology presented is embedded in our specific European teaching context.

Tom Newhouse, vice president of Convergence Media, discusses the potential impact of artificial intelligence on elections after an RNC AI ad garnered attention. A Marine veteran lawmaker says the U.S. should be pushing for a new international agreement to govern the use of artificial intelligence on the battlefield and believes it's a "strategic mistake" the Pentagon hasn't started this important task. Rep. Seth Moulton, D-Mass., said the U.S. needs to work with other military powers to flesh out rules of the road on how AI can and cannot be deployed by military forces before AI becomes much more advanced. "When we get to the point of having killer robots, it's going to be a real problem for us if we don't have some established international norms for their use," Moulton told Fox News Digital. "Adversaries like China and Russia -- which don't care about collateral damage, they don't care about civilian casualties, they don't care about human rights -- they're going to have an advantage in making their robots more lethal because they'll be less constrained."

TagWizz is doubling down on the role education plays in the future of the metaverse. Decades ago, when the gaming industry was still in its infancy, it was common to see kids spending their time trying their hands out at vintage arcade games like Pac-Man, Space Invaders, and Donkey Kong. Yet, since those heralded days of the 70s, the gaming industry has undergone innumerable iterations and changes. From computer games to console gaming, the future of gaming is more immersive than ever with the advent of virtual reality and the metaverse. However, as the industry has evolved how people game, it has also expanded its utility beyond entertainment.

Marine commanders on the battlefield need access to better intelligence and AI tools for more rapid decision making, while higher-ranking commanders further from the tactical edge must accept that their picture may be less timely and complete and will focus more on pre-planning logistics, Marine Corps Commandant Gen. David Berger said Thursday. Speaking at a Hudson Institute event, Berger laid out his thoughts on how the Marine Corps must continue to transform to prepare for future potential fights against highly advanced adversaries like China and Russia. First, the Corps and the military must recognize that in highly contested environments with an advanced adversary, the Marine Corps will play a different role than it did during U.S. operations in the Middle East, and must be positioned forward before conflict starts, he said. "In a very simple sense, the way that I view it is: The most forward parts of the U.S. military in a contested environment, before shots are fired, are going to be special operations units, submarines, and Marines" Berger said. "If those three are forward persistently before, how do we stitch them together into some sort of framework where they can move information? Where they can--with some overlap, but not too much redundancy--cover the playing field?"

Entrepreneur Bryan Johnson says he wanted to become very rich in order to do something great for humankind. Last year Johnson, founder of the online payments company Braintree, starting making news when he threw $100 million behind Kernel, a startup he founded to enhance human intelligence by developing brain implants capable of linking people's thoughts to computers. Johnson isn't alone in believing that "neurotechnology" could be the next big thing. To many in Silicon Valley, the brain looks like an unconquered frontier whose importance dwarfs any achievement made in computing or the Web. According to neuroscientists, several figures from the tech sector are currently scouring labs across the U.S. for technology that might fuse human and artificial intelligence.

We consider the joint design and control of discrete-time stochastic dynamical systems over a finite time horizon. We formulate the problem as a multi-step optimization problem under uncertainty seeking to identify a system design and a control policy that jointly maximize the expected sum of rewards collected over the time horizon considered. The transition function, the reward function and the policy are all parametrized, assumed known and differentiable with respect to their parameters. We then introduce a deep reinforcement learning algorithm combining policy gradient methods with model-based optimization techniques to solve this problem. In essence, our algorithm iteratively approximates the gradient of the expected return via Monte-Carlo sampling and automatic differentiation and takes projected gradient ascent steps in the space of environment and policy parameters. This algorithm is referred to as Direct Environment and Policy Search (DEPS). We assess the performance of our algorithm in three environments concerned with the design and control of a mass-spring-damper system, a small-scale off-grid power system and a drone, respectively. In addition, our algorithm is benchmarked against a state-of-the-art deep reinforcement learning algorithm used to tackle joint design and control problems. We show that DEPS performs at least as well or better in all three environments, consistently yielding solutions with higher returns in fewer iterations. Finally, solutions produced by our algorithm are also compared with solutions produced by an algorithm that does not jointly optimize environment and policy parameters, highlighting the fact that higher returns can be achieved when joint optimization is performed.

Amira Learning's award-winning app brings literacy to life for younger learners Education, like many sectors across the globe, has found an increasing need to develop technologies that support a new'normal' following the initial and transformational impacts of Covid-19 on teaching and learning. Many learning challenges for students remain the same even if the landscape has fundamentally changed from traditional brick-and-mortar schools to digital classrooms and e-learning experiences. The time, for EdTech, to answer has come faster than the sector might have previously forecasted and all eyes are on the results of technology investments that are outpacing years prior. While advancements in artificial intelligence (AI) have saturated our digital experiences and impacted consumer behaviors, there is still a struggle to see tangible AI applications in the day-to-day of teaching and learning. Maybe that horizon is closer than previously expected.

Entrepreneur Bryan Johnson says he wanted to become very rich in order to do something great for humankind. Last year Johnson, founder of the online payments company Braintree, starting making news when he threw $100 million behind Kernel, a startup he founded to enhance human intelligence by developing brain implants capable of linking people's thoughts to computers. Johnson isn't alone in believing that "neurotechnology" could be the next big thing. To many in Silicon Valley, the brain looks like an unconquered frontier whose importance dwarfs any achievement made in computing or the Web. According to neuroscientists, several figures from the tech sector are currently scouring labs across the U.S. for technology that might fuse human and artificial intelligence.

Before the Marine Corps can fully utilize the power of AI technology and the efficiencies it brings, the service must overcome one major hurdle: trust. "We're going to have to trust artificial intelligence," he said during remarks at the National Defense Industrial Association's Expeditionary Warfare Conference in February. Whether it's "sensor-to-shooter or fuel to a frontline unit, we put humans in the loop at about 16 places because we don't trust it yet," he said. The best way to boost confidence in the technology is to have Marines train machines, he said. Gen. Eric Austin, director of the Marine Corps' Capabilities Development Directorate, said building that faith in artificial intelligence will unlock its potential.