After loudly touting the use of artificial intelligence (AI) during their 11-day conflict against Hamas in 2021, the Israel Defense Forces (IDF) have been fairly tight-lipped about the AI systems they've employed in the post-Oct. Numerous media outlets have speculated that Israel's AI platforms are being used recklessly, but Blaise Misztal, Vice President for Policy at the Jewish Institute for National Security of America (JINSA), told Fox News Digital that he believes Israel is using AI-powered drone swarms, mapping drones and targeting systems as a means to minimize civilian casualties as they seek out Hamas terrorists hiding among the populace or holed up in tunnel systems laced beneath civilian architecture. Misztal says that available evidence implies drones are a "near constant companion for ground troops as they're maneuvering through Gaza," with the IDF telling JINSA researchers that "each unit has its own mini-Air Force" supporting troop movements. A number of AI-powered drones may be mapping the underground tunnels built below Gaza, or protecting those who are traversing them as they seek out terrorists or hostages. Iris, a ground-based, throwable unit manufactured by Elbit Systems "can enter small and confined spaces, above or underground, to explore hazardous areas while relaying intelligence and reconnaissance information in real-time."

We present a system that produces emotionally rich poetry inspired by personalized and empathic interpretation of text, particularly Internet blogs. Our implemented system is based on the blackboard architecture, and generates poetry from a theme that it considers the most inspiring. It also incorporates a model of emotions with an individual optimism rate that defines an affective state. The poems produced by the system contain emotional expressions that describe these feelings. We explain how the system re-conceptualizes the text by the empathic interpretation of its content. We also present how the blackboard architecture may support divergent problem solving in the field of computational creativity.We describe the system architecture and the generation algorithm followed by some illustrative results. Finally, we mention possible continuation of this work by incorporating other language generating systems as well as human experts in the blackboard architecture.