What is Lebanon's Beaufort Castle? Why is Israel attacking Nabatieh? Israeli air attacks on southern Lebanon have killed at least three people, Lebanese state media has reported, a day after the United States and Iran signed an interim agreement that called for an end to their war on all fronts, including Lebanon. Lebanon's National News Agency (NNA) reported on Thursday that an Israeli drone attack hit a car near the town of Kfar Tebnit, killing two people. NNA also reported that a strike carried out by an Israeli drone in the town of Beit Yahoun in the Nabatieh governorate wounded two people.

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The company is also previewing an upgraded creative AI studio experience. Earlier this year, Adobe debuted Firefly AI Assistant, an AI agent that could work across its family of Creative Cloud apps to complete multi-step workflows on behalf of users. Today, the company is previewing an updated Firefly creative AI studio experience that expands the capabilities of that software, starting with an upgrade to AI Assistant's ability to carry context forward. A new Elements feature allows users to save characters, locations and objects they've previously generated to reuse in future outputs. Adobe suggests this capability will allow AI Assistant to better maintain consistency across stories, campaigns and projects that evolve inside of Firefly.

Fox's reported $22 billion acquisition of Roku, the leading US streaming platform reaching 100 million homes, is causing consumer anxiety and prompting searches for alternatives. PCWorld notes that while users can expect increased Fox content promotion and targeted advertising through data sharing, concerns about immediate changes may be overblown since the deal won't close until 2027. Alternative platforms like Apple TV, Amazon Fire TV, and Google TV each offer different trade-offs in privacy, customization, and cost, but all have their own promotional limitations. Fox is planning to acquire Roku for $22 billion, and a lot of folks are already preparing for the worst. I've already received a half-dozen questions from readers about Roku alternatives to consider.

Repeated multi-unit auctions, where a seller allocates multiple identical items over many rounds, are common mechanisms in electricity markets and treasury auctions. We compare the two predominant formats: uniform-price and discriminatory auctions, focusing on the perspective of a single bidder learning to bid against stochastic adversaries. We characterize the learning difficulty in each format, showing that the regret scales similarly for both auction formats under both fullinformation and bandit feedback, as Θ( T)and Θ(T2/3), respectively. However, analysis beyond worst-case regret reveals structural differences: uniform-price auctions may admit faster learning rates, with regret scaling as Θ( T)in settings where discriminatory auctions remain at Θ(T2/3). Finally, we provide a specific analysis for auctions in which the other participants are symmetric and have unitdemand, and show that in these instances, a similar regret rate separation appears.

Nowadays deep models are required to be versatile due to the increasing realistic needs. Multi-task learning (MTL) offers an efficient way for this purpose to learn multiple tasks simultaneously with a single model. However, prior MTL solutions often focus on resolving conflicts and imbalances during optimization, which may not outperform simple linear scalarization strategies [Xin et al., 2022]. Instead of altering the optimization trajectory, this paper leverages mode connectivity to efficiently approach the Pareto front and identify the desired trade-off point. Unlike Pareto Front Learning (PFL), which aims to align with the entire Pareto front, we focus on effectively and efficiently exploring optimal trade-offs. However, three challenges persist: (1) the low-loss path can neither fully traverse trade-offs nor align with user preference due to its randomness, (2) commonly adopted Bézier curves in mode connectivity are ill-suited to navigating the complex loss landscapes of deep models, and (3) poor scalability to large-scale task scenarios. To address these challenges, we adopt non-uniform rational B-Splines (NURBS) to model mode connectivity, allowing for more flexible and precise curve optimization. Additionally, we introduce an order-aware objective to explore task loss tradeoffs and employ a task grouping strategy to enhance scalability under massive task scenarios. Extensive experiments on key MTL datasets demonstrate that our proposed method, EXTRA(EXplore TRAde-offs), effectively identifies the desired point on the Pareto front and achieves state-of-the-art performance.

AI makes Pompeii victim's final moments look shockingly real The archaeologists behind the video believe the man covered his head with a bowl to protect himself from volcanic debris. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. This victim of the 79 CE eruption of Mount Vesuvius was discovered in the Pompeii archaeological area near Naples in southern Italy. Breakthroughs, discoveries, and DIY tips sent six days a week. By signing up, you confirm you are 16+, will receive newsletters and promotional content and agree to our Terms of Use and acknowledge the data practices in our Privacy Policy .

When you purchase through links in our articles, we may earn a small commission. Innocn's massive 49-inch curved ultrawide is down to $529.98 from $750, a $220 savings on a screen that genuinely does the work of two monitors. It's also the lowest price we've seen for this model. The monitor features a 3840x1080p resolution and a speedy 144Hz refresh rate. We'd certainly prefer a crispier resolution, but that typically costs more.

The company's latest recall of 3,871 vehicles follows incidents of its autonomous cars "prioritizing other hazards" or failing to recognize closed construction zones altogether. Waymo has filed its fourth safety recall since February 2024, after its driverless cars were caught entering closed freeway-construction zones. The recall, filed with the National Highway Traffic Safety Administration (NHTSA) on June 17, appears to affect Waymo's entire US fleet, covering 3,871 vehicles running Waymo's 5th Generation automated driving system (ADS). NHTSA estimates 100 precent of the affected units carry the defect, which is outlined in the filed safety recall report as "under certain circumstances, the AV may enter and drive at speed in freeway-construction zones due to inappropriately prioritizing the avoidance of other freeway hazards and/or failing to recognize the construction zone." Waymo started offering highway rides in late 2025, and the underlying problem appears to be a failure of priority logic.