Indian Ocean
Yemen's Houthis claim responsibility for striking Norwegian tanker Strand in latest attack
Yemen's Houthi movement said on Tuesday they struck a Norwegian oil and chemical tanker with a rocket in its latest operation to protest against Israel's bombardment of Gaza. The Iran-aligned group targeted the ship after its crew "rejected all warning calls," Houthi military spokesperson Yehia Sareea said in a televised statement. He vowed that the Houthis would continue blocking ships heading to Israeli ports until Israel allows the entry of food and medical aid into the Gaza Strip - more than 1,000 miles from the Houthi seat of power in Sanaa. NETANYAHU TELLS BIDEN ISRAEL WILL ACT MILITARILY AGAINST YEMEN'S HOUTHIS IF US WON'T: REPORT The attack on the tanker Strinda took place about 60 nautical miles north of the Bab al-Mandab Strait. The ship, a Norwegian-owned-and-operated vessel called Strinda, was struck on Monday night as it traveled near the Bab al-Mandab strait, a sea lane through which much of the world's oil is shipped.
F-35 reminds China who's top gun by shooting down a Houthi cruise missile
Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. American technology is scoring big against Iran-backed threats in the Red Sea region, and it's bad news for China. You know the U.S. Navy destroyer USS Carney was in the news again Sunday, shooting down drones launched from Yemen's Houthi rebels against merchant shipping in the Red Sea. This crew has been taking out drones and missiles supplied by Iran for weeks now, and their tally is over two dozen destroyed so far.
French frigate shoots down drones over Red Sea: Military
A French frigate has shot down two drones over the Red Sea that were believed to be approaching from the coast of Yemen, according to the French military. "The interception and destruction of these two identified threats" were carried out late on Saturday by the frigate Languedoc, which operates in the Red Sea, the general staff said in a press release on Sunday. The interceptions happened at 20:30 GMT and 22:30 GMT and were 110km (68 miles) from the Yemeni coast, it added. Yemen's Iran-backed Houthi rebels on Saturday threatened to attack any vessels heading to Israeli ports unless food and medicine were allowed into the besieged Gaza Strip, which has been devastated by more than two months of Israeli bombing. The Houthis said that all "ships linked to Israel or that will transport goods to Israeli ports" are not welcome in the Red Sea, a vital channel for global trade linked to the Suez Canal.
'Elvis' director says Hollywood 's AI regulation is 'way behind'
AI expert Marva Bailer explains how, even though there are currently laws in place, the average person has more access than ever to create deepfakes of celebrities. "Elvis" director Baz Luhrmann is not afraid of artificial intelligence so much as he worries about the lack of regulation over the technology. In an interview with Sky News, Luhrmann admitted he was not "personally frightened of AI, but having worked with a very, very smart robot named Ai-Da, and having formed a relationship with her, she would tell you, and I would agree, we are way behind in terms of governance of AI." Earlier this year, Luhrmann partnered with Bombay Sapphire on its "Saw This Made This" campaign, which used an AI robot artist, named Ai-Da, to create art pieces live at exhibitions in London and New York inspired by submissions from human creators. Luhrmann also praised the writers and actors strikes that took place over the summer and fall, with the use of AI being a major issue in negotiations. WHAT IS ARTIFICIAL INTELLIGENCE (AI)?
Yemen's Houthis say they targeted two Israeli ships in Red Sea: Report
Yemen's Houthi movement says it has targeted two Israeli ships with an armed drone and a naval missile, reports a spokesperson for the group's military. The spokesperson said the two ships, Unity Explorer and Number Nine, were targeted after they rejected warnings from the group's navy, the Reuters news agency reported on Sunday. British maritime security company Ambrey said a bulk carrier ship had been hit by at least two drones while sailing in the Red Sea. Another container ship reportedly suffered damage from a drone attack about 101km (63 miles) northwest of the northern Yemeni port of Hodeida, it added. The Pentagon also said a US warship and multiple commercial ships came under attack in the Red Sea, potentially marking a major escalation in a series of maritime attacks since the Israel-Hamas war began on October 7. "We are aware of reports regarding attacks on the USS Carney and commercial vessels in the Red Sea and will provide information as it becomes available," the Pentagon said.
Pentagon says US warship, commercial vessels under attack in Red Sea
NSC Communications Coordinator John Kirby responds to progressive pushback against U.S. aid to Israel on'FOX News Sunday.' The Pentagon said Sunday a U.S. warship and multiple commercial vessels are under attack in the Red Sea. The development signifies a serious escalation in a series of maritime attacks in the Middle East linked to the Israel-Hamas war. "We're aware of reports regarding attacks on the USS Carney and commercial vessels in the Red Sea and will provide information as it becomes available, later," Pentagon spokesman told Fox News, confirming reports of an attack on a U.S. warship in the Red Sea. The Pentagon initially told the Associated Press, "We're aware of reports regarding attacks on the USS Carney and commercial vessels in the Red Sea and will provide information as it becomes available." USS Carney is a Arleigh Burke-class guided-missile destroyer that has been shooting down drones and cruise missiles in recent weeks launched by Iran-backed Houthi rebels, who claimed credit for Sunday's attack.
US warship shoots down three Houthi drones targeting commercial vessels in Red Sea: CENTCOM
NSC Communications Coordinator John Kirby responds to progressive pushback against U.S. aid to Israel on'FOX News Sunday.' Three commercial vessels were attacked in the Red Sea on Sunday, prompting a U.S. warship to shoot down multiple unmanned aerial vehicles (UAV) headed toward them. The development could signify a serious escalation in a series of maritime attacks in the Middle East linked to the Israel-Hamas war. "Today, there were four attacks against three separate commercial vessels operating in international waters in the southern Red Sea," a statement by U.S. Central Command (CENTCOM) explained. "These three vessels are connected to 14 separate nations." The USS Carney was in the southern Red Sea, just north of the Bab al-Mandab Strait, when it shot down three Houthi drones heading in its direction, a U.S. official told Fox News, adding that the action was taken in self-defense. The drones were launched from Houthi-controlled areas of Yemen, the official claimed.
Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources
Li, Xingxuan, Zhao, Ruochen, Chia, Yew Ken, Ding, Bosheng, Joty, Shafiq, Poria, Soujanya, Bing, Lidong
It results in more factual rationales and reduced hallucination in generation. Specifically, CoK consists of three stages: reasoning preparation, dynamic knowledge adapting, and answer consolidation. Given a knowledge-intensive question, CoK first prepares several preliminary rationales and answers while identifying the relevant knowledge domains. If there is no majority consensus among the answers from samples, CoK corrects the rationales step by step by adapting knowledge from the identified domains. These corrected rationales can plausibly serve as a better foundation for the final answer consolidation. Unlike prior studies that primarily use unstructured data, CoK also leverages structured knowledge sources such as Wikidata and tables that provide more reliable factual information. To access both unstructured and structured knowledge sources in the dynamic knowledge adapting stage, we propose an adaptive query generator that allows the generation of queries for various types of query languages, including SPARQL, SQL, and natural sentences. Moreover, to minimize error propagation between rationales, CoK corrects the rationales progressively using preceding corrected rationales to generate and correct subsequent rationales. Extensive experiments show that CoK consistently improves the performance of LLMs on knowledge-intensive tasks across different domains. In recent years, large language models (LLMs) such as ChatGPT (OpenAI, 2023) have demonstrated impressive language generation capabilities (Cheng et al., 2023; Ding et al., 2023). However, one major challenge of LLMs lies in hallucination, which is their tendency to confidently generate plausible but factually incorrect texts (Ji et al., 2023). As shown in Figure 1, given a question, "What year was the Argentine actor who directed El Tio Disparate born?" which requires factual knowledge to answer, the most advanced LLMs often provide an incorrect answer. While LLMs have the remarkable capability to recall information from their training data, effectively updating or controlling the factual knowledge within these models remains challenging (Luo et al., 2023). A promising direction to address hallucination in generation is to augment the LLMs with external knowledge (Mialon et al., 2023). These methods involve incorporating LLMs with a retrieval system, which seeks to utilize external factual knowledge to guide the generation process. Instead of relying solely on the internal training knowledge of LLMs, these methods can fetch relevant infor-Equal contribution. Xingxuan Li, Yew Ken Chia, and Bosheng Ding are under the Joint Ph.D. Program between Alibaba and their corresponding universities. We will make our code and data publicly available.
Reconstructing Historical Climate Fields With Deep Learning
Bochow, Nils, Poltronieri, Anna, Rypdal, Martin, Boers, Niklas
Historical records of climate fields are often sparse due to missing measurements, especially before the introduction of large-scale satellite missions. Several statistical and model-based methods have been introduced to fill gaps and reconstruct historical records. Here, we employ a recently introduced deep-learning approach based on Fourier convolutions, trained on numerical climate model output, to reconstruct historical climate fields. Using this approach we are able to realistically reconstruct large and irregular areas of missing data, as well as reconstruct known historical events such as strong El Ni\~no and La Ni\~na with very little given information. Our method outperforms the widely used statistical kriging method as well as other recent machine learning approaches. The model generalizes to higher resolutions than the ones it was trained on and can be used on a variety of climate fields. Moreover, it allows inpainting of masks never seen before during the model training.