Japanese internal affairs minister Yoshimasa Hayashi (center) poses for a photo with ministers from ASEAN member states in Hanoi on Thursday. HANOI - Japan and the Association of Southeast Asian Nations have agreed to work together on developing new artificial intelligence models and preparing related laws. The AI-sector cooperation was included in a joint statement adopted at a meeting of digital ministers from Japan and ASEAN member states in Hanoi on Thursday. The statement was proposed by Japanese communications minister Yoshimasa Hayashi, who attended the meeting. Japan and ASEAN aim to join hands at a time when the United States and China are boosting their presence in the AI sector.

Indoor positioning systems (IPSs) have gained attention as outdoor navigation becomes prevalent in everyday life. Research is being actively conducted on how indoor smartphone navigation can be accomplished and improved using received signal strength indication (RSSI) and machine learning (ML). IPSs have more use cases that need further exploration, and we aim to explore using IPSs for the indoor navigation of an autonomous robot. We collected a dataset and trained models to test on a robot. We also developed an A* path-planning algorithm so that our robot could navigate itself using predicted directions. After testing different network structures, our robot was able to successfully navigate corners around 50 percent of the time. The findings of this paper indicate that using IPSs for autonomous robots is a promising area of future research.

In recent years, there has been a notable increase in research on machine learning models for music retrieval and generation systems that are capable of taking natural language sentences as inputs. However, there is a scarcity of large-scale publicly available datasets, consisting of music data and their corresponding natural language descriptions known as music captions. In particular, non-musical information such as suitable situations for listening to a track and the emotions elicited upon listening is crucial for describing music. This type of information is underrepresented in existing music caption datasets due to the challenges associated with extracting it directly from music data. To address this issue, we propose a method for generating music caption data that incorporates non-musical aspects inferred from music thumbnail images, and validated the effectiveness of our approach through human evaluations. Additionally, we created a dataset with approximately 360,000 captions containing non-musical aspects. Leveraging this dataset, we trained a music retrieval model and demonstrated its effectiveness in music retrieval tasks through evaluation.

Inspired by recent advancements in brain organoid systems, researchers have designed a simple hydrogel-electrode array that not only can "play" Pong, but improve its gameplay over time. Debuted by Atari in 1972, Pong is one of the most rudimentary but influential video games of all time. Although it just features two player paddles and a pixelated "ball" ricocheting between them, it still serves as a helpful benchmark for training not just artificial intelligence and neural networks, but also organoid intelligence, or OI. Grown from stem cells into rudimentary "brains," these OI systems may one day provide promising alternatives to more traditional hardware. But both AI and OI are extremely complex, costly industries--what if much simpler arrays could achieve similar results?

Knowledge Graphs (KGs) are fundamental resources in knowledge-intensive tasks in NLP. Due to the limitation of manually creating KGs, KG Completion (KGC) has an important role in automatically completing KGs by scoring their links with KG Embedding (KGE). To handle many entities in training, KGE relies on Negative Sampling (NS) loss that can reduce the computational cost by sampling. Since the appearance frequencies for each link are at most one in KGs, sparsity is an essential and inevitable problem. The NS loss is no exception. As a solution, the NS loss in KGE relies on smoothing methods like Self-Adversarial Negative Sampling (SANS) and subsampling. However, it is uncertain what kind of smoothing method is suitable for this purpose due to the lack of theoretical understanding. This paper provides theoretical interpretations of the smoothing methods for the NS loss in KGE and induces a new NS loss, Triplet Adaptive Negative Sampling (TANS), that can cover the characteristics of the conventional smoothing methods. Experimental results of TransE, DistMult, ComplEx, RotatE, HAKE, and HousE on FB15k-237, WN18RR, and YAGO3-10 datasets and their sparser subsets show the soundness of our interpretation and performance improvement by our TANS.

Tokyo police have arrested a 25-year-old man for allegedly creating malware using generative artificial intelligence tools available for free online. Ryuki Hayashi from Kawasaki was arrested by the Metropolitan Police Department on suspicion of the unauthorized creation of electronic records. According to the police, there have been very few cases in which police took law-enforcement action over the creation of malware using generative AI technology. Hayashi, who has admitted to the allegations, was quoted as saying that he wanted to "earn easy money" and that he thought he "could do anything" if he used AI. Hayashi is suspected of creating the malware in March last year by combining designs of illegal malware programs obtained through the use of interactive generative AI tools.

Subsampling is effective in Knowledge Graph Embedding (KGE) for reducing overfitting caused by the sparsity in Knowledge Graph (KG) datasets. However, current subsampling approaches consider only frequencies of queries that consist of entities and their relations. Thus, the existing subsampling potentially underestimates the appearance probabilities of infrequent queries even if the frequencies of their entities or relations are high. To address this problem, we propose Model-based Subsampling (MBS) and Mixed Subsampling (MIX) to estimate their appearance probabilities through predictions of KGE models. Evaluation results on datasets FB15k-237, WN18RR, and YAGO3-10 showed that our proposed subsampling methods actually improved the KG completion performances for popular KGE models, RotatE, TransE, HAKE, ComplEx, and DistMult.

A six-year wait has come to an end for "Zelda" fans across the world following Nintendo's release of the long-awaited next instalment of its 40-year-old gaming saga. The series featuring the exploits of Princess Zelda and the elf-like warrior Link has sold 125 million copies worldwide since its first edition in 1986. But its main challenge this year will be to boost earnings for the Japanese gaming giant and prolong the life of its Switch console, which experts say is in its dotage after seven years on the shelves. In Paris, fans who lined up late at night applauded as a shop opened. They streamed in – some clutching Link toys or wearing elfin ears – to snap up the saga's latest instalment, Tears of the Kingdom.

In 2016, two Japanese reproductive biologists, Katsuhiko Hayashi and Mitinori Saitou, made an announcement in the journal Nature that read like a science-fiction novel. The researchers had taken skin cells from the tip of a mouse's tail, reprogrammed them into stem cells, and then turned those stem cells into egg cells. The eggs, once fertilized, were transferred to the uteruses of female mice, who gave birth to ten pups; some of the pups went on to have babies of their own. Gametes are the cells, such as eggs and sperm, that are essential for sexual reproduction. With their experiment, Hayashi and Saitou provided the first proof that what's known as in-vitro gametogenesis, or I.V.G.--the production of gametes outside the body, beginning with nonreproductive cells--was possible in mammals.

Japanese and U.S. foreign and defense chiefs on Friday shared their concerns about China's attempts to "undermine the rule-based order" and challenges they pose to the region and world, vowing to cooperate in deterring and responding to "destabilizing activities." In a joint statement issued after their virtual "two-plus-two" talks, the ministers highlighted the "importance of peace and stability in the Taiwan Strait," while opposing any unilateral actions threatening Japan's administration of the Senkaku Islands in the East China Sea, controlled by Japan but claimed by China. Foreign Minister Yoshimasa Hayashi, Defense Minister Nobuo Kishi, and their U.S. counterparts Secretary of State Antony Blinken and Defense Secretary Lloyd Austin, also aired "serious and ongoing concerns" about human rights issues in China's Xinjiang autonomous region and Hong Kong. Hayashi said at the outset of the talks that Japan is "fully committed" to constantly enhancing the alliance toward realizing "a free and open Indo-Pacific," and noted that "it is more important than ever that Japan and the United States are united and exhibit leadership" in the face of a range of challenges. Blinken reaffirmed the alliance as a cornerstone of peace and security in the region, and said the two countries must not only strengthen the tools they have, but also develop "new ones" to address the evolving threats posed by countries seeking to undermine the international rules-based order, including China and North Korea.