Japan Praises ‘Pinpoint’ Moon Landing by Slim Probe

[1/6] The Smart Lander for Investigating Moon (SLIM), is seen in this handout image taken by LEV-2 on the moon, released on January 25, 2024. Japan Aerospace Exploration Agency (JAXA), TAKARA TOMY, Sony Group, Doshisha University /via REUTER Acquire Licensing Rights
[1/6] The Smart Lander for Investigating Moon (SLIM), is seen in this handout image taken by LEV-2 on the moon, released on January 25, 2024. Japan Aerospace Exploration Agency (JAXA), TAKARA TOMY, Sony Group, Doshisha University /via REUTER Acquire Licensing Rights
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Japan Praises ‘Pinpoint’ Moon Landing by Slim Probe

[1/6] The Smart Lander for Investigating Moon (SLIM), is seen in this handout image taken by LEV-2 on the moon, released on January 25, 2024. Japan Aerospace Exploration Agency (JAXA), TAKARA TOMY, Sony Group, Doshisha University /via REUTER Acquire Licensing Rights
[1/6] The Smart Lander for Investigating Moon (SLIM), is seen in this handout image taken by LEV-2 on the moon, released on January 25, 2024. Japan Aerospace Exploration Agency (JAXA), TAKARA TOMY, Sony Group, Doshisha University /via REUTER Acquire Licensing Rights

Japan's moon lander achieved an unusually precise touchdown within 100 m (328 feet) of its target, the space agency said on Thursday, after the nation became the fifth to put a spacecraft on the moon with the weekend touchdown of its SLIM probe.

Japan hopes the demonstration of what it called a "pinpoint" moon landing will revitalise a space program seeking to overcome setbacks as it moves to capture a bigger role in space by partnering with ally the United States to counter China.

The Japan Aerospace Exploration Agency (JAXA) said it received all data about the touchdown of its Smart Lander for Investigating Moon (SLIM) within the 2 hours and 37 minutes before the lander lost power.

"We proved that you can land wherever you want, rather than where you are able to," its project manager for the lander, Shinichiro Sakai, told a press conference.

"This will inspire more and more people, desirably Japanese missions, to try to land on unexplored places on the moon."

One of the lander's two main engines probably stopped in the final phase of touchdown, so that it drifted 55 m (180 ft) away from the target site to an unintended position, Sakai said, Reuters reported.

In the absence of engine trouble, it could have landed as close as 3 m to 4 m (10 ft to 13 ft) from the target, he said.

The lander was toppled on the gentle slope of a crater on the moon's surface, in a picture published by JAXA and taken by a wheeled rover SLIM deployed during touchdown.

Angled westward because of the tumble, SLIM's solar panels have been unable to generate electricity, but a change in the direction of sunlight could power it up before the next lunar sunset on Feb. 1 brings freezing cold.

"SLIM is not designed to survive a lunar night", said Sakai.

The power outage meant the lander's multi-band spectral camera, tasked to study the composition of moon rocks, could only generate low-resolution images, JAXA said.

The landing with an error of less than 100 m (330 ft) by SLIM, dubbed the "moon sniper", outstrips the conventional accuracy figure of several kilometres for lunar landers.

It employed "vision-based" navigation that JAXA says could be a powerful tool for future exploration of hilly moon poles seen as a possible source of fuel and life-giving water and oxygen.

Home to several private space startups, Japan aims to send an astronaut to the moon in NASA's Artemis program in the next few years. But JAXA's recent setbacks in rocket development included the launch failure in March of its new H3 rocket.

That delayed many of Japan's space missions, including SLIM and LUPEX, a joint lunar exploration project with India, which made a historic touchdown on the moon's south pole in August.

In the past year, three lunar missions by Japanese startup ispace, Russia's space agency and American company Astrobotic have failed, but more lunar landers will head to the moon this year.

US startup Intuitive Machines aims to launch its IM-1 lander in mid-February.

China plans to send its Chang'e-6 spacecraft to the far side of the moon in the first half of the year, and NASA's launch of its lunar polar exploration rover VIPER is set for November.



Gulf States Unveil Efforts to Develop AI Tools to Combat Fake News

Dr. Preslav Nakov (LinkedIn)
Dr. Preslav Nakov (LinkedIn)
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Gulf States Unveil Efforts to Develop AI Tools to Combat Fake News

Dr. Preslav Nakov (LinkedIn)
Dr. Preslav Nakov (LinkedIn)

One of the significant challenges facing researchers in artificial intelligence (AI) development is ensuring objectivity amid the rapid and ever-increasing flow of information online. With numerous tools now available to disseminate diverse data and information, it has become increasingly difficult for audiences to distinguish between truth and propaganda on one hand and between objective journalism and biased framing on the other.
This has underscored the growing importance of technologies designed to analyze, detect, and filter vast amounts of data. These tools aim to curb the spread of misinformation, combat rumors and fake news, and make the internet a safer space for sharing and accessing accurate information.
Fake news is defined as media content created and published with the intent to mislead or manipulate public opinion, often for political, economic, or social purposes. The methods for creating fake news range from simple manipulation of facts to sophisticated techniques like deepfakes, further complicating efforts to identify them.
In Abu Dhabi, Dr. Preslav Nakov, a professor and chair of Natural Language Processing at Mohamed bin Zayed University of Artificial Intelligence, is leading innovative efforts to develop AI technologies, particularly in analyzing the methods used in media to influence public opinion.
Among his most notable contributions is the development of FRAPPE, an interactive tool for global news analysis. FRAPPE provides comprehensive insights into the persuasive and rhetorical techniques employed in news articles, enabling users to gain a deeper understanding of diverse media contexts. According to Nakov, FRAPPE helps users identify how news is framed and presented in different countries, offering a clearer perspective on divergent media narratives.
FRAPPE’s capabilities also extend to analyzing media framing methods. Nakov explains that the tool allows users to compare how different media outlets address specific issues. For instance, one outlet in a particular country might emphasize the economic implications of climate change, while another focuses on its political or social dimensions.
AI is the cornerstone of FRAPPE’s functionality, enabling the tool to analyze complex linguistic patterns that influence readers’ opinions.
In a discussion with Asharq Al-Awsat, Nakov highlighted the tool’s capabilities, noting that AI in FRAPPE is fundamental to analyzing, classifying, and detecting intricate linguistic patterns that shape readers’ perceptions and emotions. He explained that the application uses AI to identify propaganda and persuasion techniques such as insults, fear-based language, bullying, exaggeration, and repetition. The system has been trained to recognize 23 subtle techniques often embedded in real-world media content.
Ensuring objectivity and reducing bias are among the main challenges in developing AI tools like FRAPPE. Nakov explains that FRAPPE focuses on analyzing the language used in articles rather than evaluating their accuracy or political stance.
To date, FRAPPE has analyzed over two million articles on topics such as the Russia-Ukraine war and climate change. The tool currently supports content analysis in 100 languages, with plans to expand its capabilities to additional languages and enhance the accuracy of its analyses, further strengthening its ability to comprehend global media patterns.