Tehran, Iran – Iran's Foreign Ministry and judiciary have confirmed that Iranian national Mohammad Abedini, who was arrested in Italy at the behest of the United States, has been released. Abedini was returned to Tehran after being arrested as part of a "misunderstanding", Mizan, the official news outlet of the judiciary, said on Sunday. The report, also aired by state television, said his release was secured after talks between the Iranian intelligence ministry and the Italian intelligence service. Foreign Ministry spokesman Esmaeil Baghaei in a short statement welcomed the release of the Iranian national, who is accused by Washington of involvement with a January 2024 drone attack on a US outpost in Jordan that killed three American soldiers. He stressed the ministry would defend the rights of Iranian nationals abroad.

Russia claims it has captured two villages in eastern Ukraine where its forces have been steadily advancing for months, as Ukraine's president urged allies to deliver all the weapons they have promised to send to Kyiv. The Russian Defence Ministry said on Sunday that soldiers have captured the village of Yantarne in the eastern Donetsk region, about 10km (six miles) southwest of Kurakhove, a key logistics hub that Moscow claimed to have seized last week – a day after Russia's army said it had also taken new territory northwest of Kurakhove. The Defence Ministry added that soldiers had also captured the village of Kalinove in the northeastern Kharkiv region. The village is on the western bank of the Oskil River, which for a long time formed the front line between the two armies in the region. A Ukrainian official, quoted by the AFP news agency, said on Thursday that Russian forces had managed to establish a bridgehead on the western bank after crossing the river.

California Fire Battalion chief David Acuna joins'Fox & Friends Weekend' to provide an update on the ongoing Los Angeles fires. Private drones being flown near the wildfires consuming Los Angeles County continued to interfere with aerial firefighting efforts Saturday evening, according to officials, as the death toll from the flames rises. Officials have detected 48 privately owned drones flying over the fires since the infernos erupted Tuesday, Los Angeles County Deputy Fire Chief Robert Harris said during a briefing Saturday evening. "When those privately owned drones are detected, we have to pause firefighting activities, so we ask you to please assist us by not operating drones in the area," Harris said, adding that the drones' owners are being sought by police and will face potential prosecution. Authorities urge civilians not to fly drones near wildfires because they can get in the way of low-flying firefighting aircraft and delay emergency responders.

Russia's Ministry of Defence said the army gained control of the settlement of Shevchenko, near the logistical centre of Pokrovsk, a key target in its advance through Ukraine's eastern Donetsk region. Ukraine has yet to acknowledge the loss of the town. Ukraine's General Staff of the Armed Forces said it repelled 46 of 56 Russian attacks around a dozen towns in the Pokrovsk sector and several clashes were ongoing. A Ukrainian drone hit one of Russia's largest oil refineries – in Taneko, Tatarstan – according to Russian Telegram channel ASTRA. Fuel oil that spilled from wrecked Russian tankers has spread into the Sea of Azov and reached the shores of Ukraine's partly Russian-occupied Zaporizhia region, a Moscow-installed official said.

Online trajectory optimization and optimal control methods are crucial for enabling sustainable unmanned aerial vehicle (UAV) services, such as agriculture, environmental monitoring, and transportation, where available actuation and energy are limited. However, optimal controllers are highly sensitive to model mismatch, which can occur due to loaded equipment, packages to be delivered, or pre-existing variability in fundamental structural and thrust-related parameters. To circumvent this problem, optimal controllers can be paired with parameter estimators to improve their trajectory planning performance and perform adaptive control. However, UAV platforms are limited in terms of onboard processing power, oftentimes making nonlinear parameter estimation too computationally expensive to consider. To address these issues, we propose a relaxed, affine-in-parameters multirotor model along with an efficient optimal parameter estimator. We convexify the nominal Moving Horizon Parameter Estimation (MHPE) problem into a linear-quadratic form (LQ-MHPE) via an affine-in-parameter relaxation on the nonlinear dynamics, resulting in fast quadratic programs (QPs) that facilitate adaptive Model Predictve Control (MPC) in real time. We compare this approach to the equivalent nonlinear estimator in Monte Carlo simulations, demonstrating a decrease in average solve time and trajectory optimality cost by 98.2% and 23.9-56.2%, respectively.

As a former military intelligence officer, serving in the Defense Intelligence Agency (DIA), I tracked foreign threats to the U.S. homeland, identifying adversaries' plans, intentions and capabilities that could harm Americans. I predicted Russia's invasion of Ukraine more than a year before it took place. In March, in my Fox News Digital article titled "Ignore FBI director's urgent warning about terrorist threats at our own peril," I predicted terrorist attacks striking inside the U.S. homeland, the kind that took place on New Year's Day in New Orleans and in Las Vegas. Here are the top three reasons why we will likely face more terrorism in America this year. This time, it will be something we haven't seen before.

Multiple unauthorized drones flew above the Palisades fire Friday afternoon, forcing firefighting aircraft to leave the area for safety and angering those working on the front lines, authorities said. These sightings came just a day after a drone collided with a Super Scooper fixed-wing aircraft, grounding the plane for several days of repairs and reducing the number of aircraft available to fight the fire. "This is not just harmless fun. This is incredibly dangerous," said Chris Thomas, public information officer for the Palisades fire. "Seriously, what if that plane had gone down? It could have taken out a row of homes. It could have taken out a school."

This paper introduces a novel Multi-Agent Reinforcement Learning (MARL) framework to enhance integrated sensing and communication (ISAC) networks using unmanned aerial vehicle (UAV) swarms as sensing radars. By framing the positioning and trajectory optimization of UAVs as a Partially Observable Markov Decision Process, we develop a MARL approach that leverages centralized training with decentralized execution to maximize the overall sensing performance. Specifically, we implement a decentralized cooperative MARL strategy to enable UAVs to develop effective communication protocols, therefore enhancing their environmental awareness and operational efficiency. Additionally, we augment the MARL solution with a transmission power adaptation technique to mitigate interference between the communicating drones and optimize the communication protocol efficiency. Moreover, a transmission power adaptation technique is incorporated to mitigate interference and optimize the learned communication protocol efficiency. Despite the increased complexity, our solution demonstrates robust performance and adaptability across various scenarios, providing a scalable and cost-effective enhancement for future ISAC networks.

A large number of heterogeneous wireless networks share the unlicensed spectrum designated as the ISM (Industry, Scientific, and Medicine) radio band. These networks do not adhere to a common medium access rule and differ in their specifications considerably. As a result, when concurrently active, they cause cross-technology interference (CTI) on each other. The effect of this interference is not reciprocal, the networks using high transmission power and advanced transmission schemes often causing disproportionate disruptions to those with modest communication and computation resources. CTI corrupts packets, incurs packet retransmission cost, introduces end-to-end latency and jitter, and make networks unpredictable. The purpose of this paper is to closely examine its impact on low-power networks which are based on the IEEE 802.15.4 standard. It discusses latest developments on CTI detection, coexistence and avoidance mechanisms as well on messaging schemes which attempt to enable heterogeneous networks directly communicate with one another to coordinate packet transmission and channel assignment.

Experts say saltwater isn't a fire department's first choice, but is sometimes necessary to battle out-of-control flames. Federal authorities and California police are investigating after someone flew a drone into the wing of a firefighting aircraft as it carried water to battle the raging wildfires across Los Angeles – causing a "fist-sized hole" and knocking it out of service for days at a crucial time. It happened as the plane, the Quebec 1 Super Scooper that flew down from Canada to help, was working to contain the Palisades Fire, a Federal Aviation Administration spokesperson told Fox News Digital. It was one of only two Super Scooper aircraft in use in Southern California at the time. Around 1 p.m. Thursday, a civilian drone flew into its wing, according to Los Angeles Fire Department spokesman Erik Scott.