Diplomacy is a complex multiplayer game that requires both cooperation and competition, posing significant challenges for AI systems. Traditional methods rely on equilibrium search to generate extensive game data for training, which demands substantial computational resources. Large Language Models (LLMs) offer a promising alternative, leveraging pre-trained knowledge to achieve strong performance with relatively small-scale fine-tuning. However, applying LLMs to Diplomacy remains challenging due to the exponential growth of possible action combinations and the intricate strategic interactions among players. To address this challenge, we propose DipLLM, a fine-tuned LLM-based agent that learns equilibrium policies for Diplomacy. DipLLM employs an autoregressive factorization framework to simplify the complex task of multi-unit action assignment into a sequence of unit-level decisions. By defining an equilibrium policy within this framework as the learning objective, we fine-tune the model using only 1.5% of the data required by the state-of-the-art Cicero model, surpassing its performance. Our results demonstrate the potential of fine-tuned LLMs for tackling complex strategic decision-making in multiplayer games.

At least 14 people were injured when Russian drones attacked the Ukrainian Black Sea city of Odesa overnight, damaging high-rise buildings and railway infrastructure, Ukrainian authorities said.

Russia's increased sense of vulnerability may be the most important result of a recent large-scale Ukrainian drone attack named Operation Spiderweb, experts tell Al Jazeera. The operation destroyed as much as a third of Russia's strategic bomber fleet on the tarmac of four airfields deep inside Russia on June 1. Days later, Russia started to build shelters for its bombers and relocate them. An open source intelligence (OSINT) researcher nicknamed Def Mon posted time-lapse satellite photographs on social media showing major excavations at the Kirovskoe airfield in annexed Crimea as well as in Sevastopol, Gvardiyskoye and Saki, where Russia was constructing shelters for military aircraft. They reported similar work at several airbases in Russia, including the Engels base, which was targeted in Ukraine's attacks on June 1.

Waves of Russian missile and drone strikes have killed at least 15 people and injured 116 others, with most of the casualties in Kyiv, Ukrainian officials have reported. The massive aerial assault overnight into Tuesday struck 27 locations in the Ukrainian capital, damaging residential buildings and critical infrastructure, according to Interior Minister Ihor Klymenko. Ukrainian officials were quick to call for international attention on the attacks as Kyiv pushes diplomatic efforts to raise pressure on Moscow to agree a ceasefire. "Today, the enemy spared neither drones nor missiles," Klymenko said, describing the attack as one of the largest against Kyiv since Russia launched its full-scale invasion of the country in February 2022. Thirty apartments were destroyed in a single residential block, and emergency services were searching through the rubble for possible survivors, Klymenko added.

Given trajectory data, a domain-specific study area, and a user-defined threshold, we aim to find anomalous trajectories indicative of possible GPS spoofing (e.g., fake trajectory). The problem is societally important to curb illegal activities in international waters, such as unauthorized fishing and illicit oil transfers. The problem is challenging due to advances in AI generated in deep fakes generation (e.g., additive noise, fake trajectories) and lack of adequate amount of labeled samples for ground-truth verification. Recent literature shows promising results for anomalous trajectory detection using generative models despite data sparsity. However, they do not consider fine-scale spatiotemporal dependencies and prior physical knowledge, resulting in higher false-positive rates. To address these limitations, we propose a physics-informed diffusion model that integrates kinematic constraints to identify trajectories that do not adhere to physical laws. Experimental results on real-world datasets in the maritime and urban domains show that the proposed framework results in higher prediction accuracy and lower estimation error rate for anomaly detection and trajectory generation methods, respectively. Our implementation is available at https://github.com/arunshar/Physics-Informed-Diffusion-Probabilistic-Model.

It's an idea that sounds straight from the latest science fiction blockbuster. But scientists at the University of Miami have warned that the world's oceans are teeming with'giant viruses', also known as giruses. Most viruses are less than 0.5 per cent the width of a human hair – too small to be seen with the naked human eye. In contrast, the researchers say that the giant viruses are five times bigger, rivaling bacteria in terms of size. Concerningly, all 230 giant viruses are previously unknown to science.

Breakthroughs, discoveries, and DIY tips sent every weekday. A shipwreck accidentally discovered off France's southeastern coast near Saint-Tropez appears to be a striking well-preserved 16th-century Italian merchant ship. At 8,422 feet below sea level, the vessel is likely the deepest of its kind ever found in French waters, according to the official announcement. But next to scattered ceramics, metal bars, and rigging rests what appear to be jarring reminders of modern life. Earlier this year, French military personnel noticed an odd ping while guiding an underwater drone along a routine surveying expedition. Although intended to monitor potential oceanic resources and deepsea cable routes, the equipment flagged something sizable already laying over 1.5 miles below the surface of the Mediterranean Sea.

Understanding complex systems by inferring trajectories from sparse sample snapshots is a fundamental challenge in a wide range of domains, e.g., single-cell biology, meteorology, and economics. Despite advancements in Bridge and Flow matching frameworks, current methodologies rely on pairwise interpolation between adjacent snapshots. This hinders their ability to capture long-range temporal dependencies and potentially affects the coherence of the inferred trajectories. To address these issues, we introduce \textbf{Momentum Multi-Marginal Schrödinger Bridge Matching (3MSBM)}, a novel matching framework that learns smooth measure-valued splines for stochastic systems that satisfy multiple positional constraints. This is achieved by lifting the dynamics to phase space and generalizing stochastic bridges to be conditioned on several points, forming a multi-marginal conditional stochastic optimal control problem. The underlying dynamics are then learned by minimizing a variational objective, having fixed the path induced by the multi-marginal conditional bridge. As a matching approach, 3MSBM learns transport maps that preserve intermediate marginals throughout training, significantly improving convergence and scalability. Extensive experimentation in a series of real-world applications validates the superior performance of 3MSBM compared to existing methods in capturing complex dynamics with temporal dependencies, opening new avenues for training matching frameworks in multi-marginal settings.

The United States ambassador to NATO, Matthew Whitaker, said the Ukrainian drone attack on Russian strategic bombers at their airbases earlier this month was "badass" but also "a little bit reckless, and a little bit dangerous". Ukrainian President Volodymyr Zelenskyy, addressing a conference of southeast European leaders in the Black Sea port of Odesa, said Russia was determined to destroy the south of his country as well as nearby Moldova and Romania, as he called for increased pressure on Moscow to prevent further military threats. It is the first time the leader has visited Ukraine during his 12 years in power. Finland's Ministry for Foreign Affairs said it had summoned a Russian diplomat over a suspected June 10 violation of Finnish airspace by Russian aircraft, the second such event in under three weeks. Slovakia will not back the European Union's 18th package of sanctions against Russia unless the European Commission provides a solution to the situation the country faces if the bloc phases out Russian energy as planned, the country's Prime Minister Robert Fico has said. Germany's imports of goods from Russia fell by 95 percent in the 2021-2024 period, while its exports of goods to Russia were cut by 72 percent, the country's statistics office Destatis has reported.

Kyiv, Ukraine – Swarms of Russian kamikaze drones broke through Ukrainian air defence fire early on Tuesday, screeching and shrilling over Kyiv in one of the largest wartime attacks. Oleksandra Yaremchuk, who lives in the Ukrainian capital, said the hours-long sound of two or perhaps three drones above her house felt new and alarming. "This horrible buzz is the sound of death, it makes you feel helpless and panicky," the 38-year-old bank clerk told Al Jazeera, describing her sleepless night in the northern district of Obolon. "This time I heard it in stereo and in Dolby surround," she quipped. Back in 2022, she crisscrossed duct tape over her apartment's windows to avoid being hit by glass shards and spent most of the night in a shaky chair in her hallway.