The Syrian army is moving into areas east of Aleppo city, after Kurdish forces started a withdrawal. Syrian troops have been spotted entering Deir Hafer, a town about 50km (30 miles) from Aleppo. On Friday, the Kurdish Syrian Democratic Forces (SDF) militia announced it would redeploy east of the Euphrates river. This follows talks with US officials, and a pledge from Syrian President Ahmed al-Sharaa to make Kurdish a national language. After deadly clashes last week, the US urged both sides to avoid a confrontation.

At least three civilians and a Syrian soldier have been killed after clashes erupted between the Syrian army and the Kurdish-led and US-backed Syrian Democratic Forces (SDF) in Aleppo, according to the state news agency SANA. Earlier, Syria's defence ministry said three soldiers were injured after SDF fired drones at a military checkpoint near Deir Hafer, east of northern province. Heavy machine gunfire and fighting have been reported in the areas of Sheikh Maqsoud and Ashrafiyah. The ministry says it will respond to the "aggression in an appropriate manner".

Newcomblike decision problems have been studied extensively in the decision theory literature, but they have so far been largely absent in the reinforcement learning literature.

Sentiment analysis is rapidly advancing by utilizing various data modalities (e.g., text, image). However, most previous works relied on superficial information, neglecting the incorporation of contextual world knowledge (e.g., background information derived from but beyond the given image and text pairs) and thereby restricting their ability to achieve better multimodal sentiment analysis. In this paper, we proposed a plug-in framework named WisdoM, designed to leverage contextual world knowledge induced from the large vision-language models (LVLMs) for enhanced multimodal sentiment analysis. WisdoM utilizes a LVLM to comprehensively analyze both images and corresponding sentences, simultaneously generating pertinent context. To reduce the noise in the context, we also introduce a training-free Contextual Fusion mechanism. Experimental results across diverse granularities of multimodal sentiment analysis tasks consistently demonstrate that our approach has substantial improvements (brings an average +1.89 F1 score among five advanced methods) over several state-of-the-art methods. Code will be released.

Building destruction during war is a specific form of violence which is particularly harmful to civilians, commonly used to displace populations, and therefore warrants special attention. Yet, data from war-ridden areas are typically scarce, often incomplete and highly contested, when available. The lack of such data from conflict zones severely limits media reporting, humanitarian relief efforts, human rights monitoring, reconstruction initiatives, as well as the study of violent conflict in academic research. One approach has been to use remote sensing to identify destruction in satellite images[1]. This approach is gaining momentum as high-resolution imagery is becoming readily available and is updated ever quicker yielding weekly or even daily frequency. At the same time recent methodological advances related to deep learning have provided sophisticated tools to extract data from these images [2, 3, 4, 5].

YEREVAN, Armenia – Armenia has sent a team of experts to Syria on a Russia-backed mission to help clear mines and provide medical assistance. Armenian Defense Ministry spokesman Artsrun Hovhannisyan said Saturday the team of 83 includes de-mining experts, medical personnel and security officers. He said it will defuse mines and provide medical help to residents of Aleppo, in northern Syria. Before the war, Aleppo was home to 110,000 ethnic Armenians, one of the world's largest Armenian diasporas. About 22,000 have since moved to Armenia.

A World Food Programme convoy carries humanitarian aid to Aleppo, Syria. Getting food into conflict zones is a major hurdle -- and a topic of discussion at the WFP's Innovation Accelerator. A World Food Programme convoy carries humanitarian aid to Aleppo, Syria. Getting food into conflict zones is a major hurdle -- and a topic of discussion at the WFP's Innovation Accelerator. Let's figure out how to end hunger forever.

They give new tools to the powerful and their challengers. In the Syrian city of Aleppo, the struggle to frame the conflict for the international community ran parallel to the battle for control over the land itself. While drone footage from Russia Today showed videos of rebel-held and heavily-bombed eastern Aleppo, Syria's Ministry of Tourism published footage of the city's intact western half, complete with the soundtrack from HBO's hit show Game of Thrones. Life with the regime was normal. Life with the rebels was hell.

In 2016, there were technological breakthroughs from improved object avoidance to a drone that can carry people. Drones also become more accessible with DJI's foldable Mavic Pro and almost Go Pro's Karma, but the latter was recalled after battery issues caused some of them to fall from the sky. Then in August, the FAA unveiled a certification process for drone pilots to fly legally. As the number of drone pilots multiplied, drone videos showed us parts of the world not previously viewable in ways that would have required big budgets and production crews. Here are a few of the most impressive videos that challenged our perspectives.