Hokkaidō
'Phase-free' design builds disaster preparedness into everyday life
'Phase-free' design builds disaster preparedness into everyday life Tadayuki Sato, representative director of the Phase Free Association, has introduced the phase-free concept in a bid to seamlessly integrate disaster preparedness with everyday life and business operations. A ball-point pen that can write on a wet piece of paper is an example of everyday goods that fit the phase-free concept. Fifteen years after the devastating March 2011 earthquake and tsunami, Japan is seeing growing momentum behind phase-free design, a new approach to disaster preparedness that integrates emergency functionality into everyday items. As major quakes have continued to strike various parts of Japan, Tadayuki Sato, representative director of the Phase Free Association, recognized the limitations of traditional disaster preparedness. Conventional approaches, led primarily by government bodies and focused on stockpiling specialized emergency supplies, were falling short. Around 2014, he introduced the phase-free concept in a bid to seamlessly integrate disaster preparedness with everyday life and business operations.
- Asia > Middle East > Iran (0.44)
- Asia > Taiwan (0.43)
- Asia > Japan > Honshū > Kantō > Tokyo Metropolis Prefecture > Tokyo (0.10)
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- Media > News (0.31)
- Leisure & Entertainment > Sports (0.31)
Mystery AI model suspected to be DeepSeek V4 is revealed to be from Xiaomi
A powerful artificial intelligence model that appeared anonymously on a developer platform last week was revealed to be from Chinese smartphone and electric vehicle giant Xiaomi, and not DeepSeek as initially thought. BEIJING - A powerful artificial intelligence model that appeared anonymously on a developer platform last week was revealed on Wednesday to be from Chinese smartphone and electric vehicle giant Xiaomi, after it fueled speculation that startup DeepSeek was quietly testing its next-generation system ahead of a launch. The release of DeepSeek's low-cost models DeepSeek-V3 and R1 triggered a global tech stock selloff last year, causing investors to question whether U.S. AI firms needed to spend billions of dollars on AI computing power. Since then, there has been a great deal of interest in DeepSeek-V4, a next-generation model that has yet to be released. The mysterious free model, called Hunter Alpha, surfaced on the AI gateway platform OpenRouter on March 11 without any developer attribution and was later described by the platform as a "stealth model." In a time of both misinformation and too much information, quality journalism is more crucial than ever.
- Asia > Taiwan (0.44)
- Asia > Middle East > Iran (0.44)
- Asia > China > Beijing > Beijing (0.27)
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- Transportation > Ground > Road (0.99)
- Transportation > Electric Vehicle (0.99)
- Media > News (0.71)
Tokyo government builds infrastructure to expand use of generative AI
The Tokyo Metropolitan Government is developing a Generative AI Platform, which will allow government employees to create AI applications to assist with their work. The Tokyo Metropolitan Government and municipal governments throughout the Japanese capital are increasingly using generative artificial intelligence in their administrative operations. To support this trend, the metropolitan government is working with GovTech Tokyo, an affiliated organization that promotes digitalization in local governments, to develop a Generative AI Platform. The system will allow government employees to create generative AI applications tailored to their specific duties. By encouraging active use of the platform, Tokyo authorities aim to boost efficiency in public services and address growing concerns over labor shortages. In a time of both misinformation and too much information, quality journalism is more crucial than ever.
- Asia > Japan > Honshū > Kantō > Tokyo Metropolis Prefecture > Tokyo (1.00)
- Asia > Middle East > Iran (0.44)
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- Media > News (0.72)
- Government > Regional Government > Asia Government > Japan Government (0.47)
Phantom flight: Iran war creates 9,100-km round trips to nowhere
Since the conflict in the Middle East began on Feb. 28, Emirates has cancelled more than 2,000 flights -- 54% of scheduled services, according to data from Cirium. As Emirates flight EK10 from London cruised over Saudi Arabia on Monday, news broke of a drone strike at its destination, Dubai. The aircraft turned back to Gatwick, flight data shows, completing a 9,100 km round trip -- one of dozens of flights to nowhere triggered by the Middle East war. Roughly 30 Emirates flights heading to Dubai International Airport were also ordered back or rerouted after Iranian drone attacks temporarily shut what is normally the world's busiest airport for international passengers. Passengers expecting a dawn landing in the glitzy United Arab Emirates port city were stunned. In a time of both misinformation and too much information, quality journalism is more crucial than ever.
- Asia > Middle East > UAE > Dubai Emirate > Dubai (0.48)
- Asia > Middle East > Iran (0.47)
- Europe > Middle East (0.47)
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- Transportation > Infrastructure & Services > Airport (1.00)
- Transportation > Air (1.00)
- Information Technology > Artificial Intelligence > Robots > Autonomous Vehicles > Drones (0.91)
- Information Technology > Communications > Social Media (0.79)
NTT Global Data Centers plans to double capacity in AI boom
NTT Global Data Centers is working on 34 projects to double its capacity to 4 gigawatts within as little as two years, CEO Doug Adams said, as it races to meet surging global demand driven by the AI boom. NTT Global Data Centers, the world's third-largest data center provider outside of China, is working to double its capacity to 4 gigawatts to meet the rising global demand for the critical digital infrastructure amid an artificial intelligence boom. The unit of Japan's NTT is working on 34 projects that will double its capacity in as soon as two years, according to the data center business's Chief Executive Officer Doug Adams. Capacity will continue to increase from there, and will be "well over 5 gigawatts" in five years, Adams said in an interview. NTT GDC has seen increasing demand from companies moving more of their software and operations to the cloud as well as businesses hunting for extra capacity to run AI programs. The business's revenue is expected to keep growing at more than 20% a year, Adams said, declining to give a specific time period.
- Asia > Middle East > Iran (0.46)
- Asia > Taiwan (0.42)
- Asia > Japan > Honshū > Kantō > Tokyo Metropolis Prefecture > Tokyo (0.09)
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Trump accuses Iran of using AI to spread disinformation
U.S. President Donald Trump speaks to reporters aboard Air Force One on a flight to Washington on Sunday. SAN FRANCISCO - U.S. President Donald Trump on Sunday accused Iran of using artificial intelligence as a "disinformation weapon" to misrepresent its wartime successes and support. "AI can be very dangerous, we have to be very careful with it," Trump said to reporters on Air Force One shortly after he made a post on his Truth Social platform where he accused Western media outlets without evidence of "close coordination" with Iran to spread AI-generated fake news." The comments come amid renewed tensions between the Federal Communications Commission and broadcasters after Trump took aim at media coverage of the U.S. and Israel's war with Iran. FCC Chairman Brendan Carr on Saturday threatened to pull licenses of broadcasters who did not "correct course" on their coverage.
- Asia > Middle East > Iran (1.00)
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- Media > News (1.00)
- Government > Regional Government > North America Government > United States Government (1.00)
Japan eyes distant island for nuclear waste dump
Minamitorishima is nearly 1,250 miles east of Tokyo. The island is surrounded by a coral atoll and is only 0.6 miles wide. Breakthroughs, discoveries, and DIY tips sent six days a week. Nuclear power is on the rise around the world, but with it comes an extremely pressing question: where will all of the radioactive waste be stored? For Japan, one answer may lie in literally the most remote location at their disposal.
- Asia > Japan > Honshū > Kantō > Tokyo Metropolis Prefecture > Tokyo (0.27)
- Asia > Japan > Honshū > Tōhoku > Fukushima Prefecture > Fukushima (0.08)
- North America > United States > Wyoming (0.05)
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- Water & Waste Management > Solid Waste Management (1.00)
- Energy > Power Industry > Utilities > Nuclear (1.00)
- Asia > Middle East > Jordan (0.04)
- North America > Canada > Quebec > Montreal (0.04)
- North America > United States > Louisiana > Orleans Parish > New Orleans (0.04)
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- Information Technology > Artificial Intelligence > Representation & Reasoning > Search (0.83)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Optimization (0.68)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.67)
- Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning > Gradient Descent (0.46)
No-Regret M-Concave Function Maximization: Stochastic Bandit Algorithms and NP-Hardness of Adversarial Full-Information Setting
Taihei Oki, Hokkaido University, Hokkaido, Japan, oki@icredd.hokudai.ac.jp "3026 Shinsaku Sakaue[1], The University of Tokyo and RIKEN AIP, Tokyo, Japan, sakaue@mist.i.u-tokyo.ac.jp
- Asia > Japan > Honshū > Kantō > Tokyo Metropolis Prefecture > Tokyo (0.14)
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- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
- Asia > Japan > Hokkaidō (0.04)
Language Model Tokenizers Introduce Unfairness Between Languages
Recent language models have shown impressive multilingual performance, even when not explicitly trained for it. Despite this, there are concerns about the quality of their outputs across different languages. In this paper, we show how disparity in the treatment of different languages arises at the tokenization stage, well before a model is even invoked. The same text translated into different languages can have drastically different tok-enization lengths, with differences up to 15 times in some cases. These disparities persist even for tokenizers that are intentionally trained for multilingual support.
- North America > Haiti (0.14)
- Asia > Philippines > Luzon > Ilocos Region > Province of Pangasinan (0.04)
- Europe > Switzerland > Zürich > Zürich (0.04)
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- Information Technology > Artificial Intelligence > Natural Language > Large Language Model (0.70)
- Information Technology > Artificial Intelligence > Natural Language > Chatbot (0.69)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.69)
- Information Technology > Artificial Intelligence > Natural Language > Machine Translation (0.68)