Lingga Madu dreams that one day his company will design and sell fashionable clothes at a price everyone can afford. Born of past experience, it is a business vision very much focused on embracing the future. Having grown up in Jogja – where the average daily wage of US$3 means it ranks as one of Indonesia's poorest cities – the 32-year-old software engineer recalled how the latest fashions were beyond the reach of most people. That memory stayed with him and in 2014 Madu founded Sale Stock, a Jakarta-based e-commerce company where the guiding principle is to make more by charging less. A moneymaking marriage between fashion design and artificial intelligence (AI) allowing the latest AI technology to mine and analyse market data and customer behaviour to a level beyond human capability, thereby identifying designs that will sell and tailoring production accordingly.

Astronaut Soichi Noguchi has been selected to take part in a six-month mission aboard the International Space Station starting around the end of 2019, Japan's space agency said Tuesday. It will be the third ISS mission for the 52-year-old, following earlier expeditions in 2005 and 2009. Training for the mission, which will be carried out in both Japan and the United States, starts from Nov. 20. "I am extremely honored as I may be able to witness a big turning point in the history of manned space flights," Noguchi said. Noguchi will be responsible for maintaining ISS facilities, including the Japanese laboratory module Kibo, as well as conducting experiments and operating the station's robotic arm.

Tokyo has slashed its budget for 2020 Olympic facilities by an additional ¥41.3 billion ($360 million), an official said on Tuesday, amid mounting pressure to reduce the cost of hosting the huge sports event. Olympic planning officials have made the cuts by changing construction methods and installing cheaper temporary seats in some venues instead of permanent ones. This would reduce the total cost of building venues for the 2020 Games to ¥182.2 billion ($1.60 billion) from a previous plan of ¥224.1 billion ($1.96 billion), a Tokyo official said. Last year, Tokyo Gov. Yuriko Koike ordered the plans for three venues to be revised as overall costs for the games spiraled to more than $25 billion -- four times the initial estimates when Tokyo won the 2020 bid. In June, the International Olympic Committee praised Japan for slashing 2020 costs from around $20 billion to $13 billion, but warned that soaring budgets could yet deter other cities for bidding for the games.

Tencent is making progress on its own autonomous driving system, according to Bloomberg. The report says that Tencent, one of China's largest tech firms and the maker of WeChat, already has a prototype and is testing the system internally. If Tencent's autonomous driving tests goes well, that would help it catch up with fellow Chinese tech giant and rival Baidu, which recently launched a $1.5 billion investment fund as part of Apollo, its autonomous vehicle initiative, and plans to mass produce Level 4 self-driving cars by 2021 with BAIC Group. Tencent has signaled its interest in autonomous driving technology for a while now. About three months ago, it announced an alliance to work on artificial intelligence technology for autonomous cars, with members including Sebastian Thrun, the Stanford computer scientist who played a key role in the development of Google's self-driving car; Xu Heyi, the chairman of Chinese state-owned auto maker BAIC Group; and electric car startup Nio founder Li Bin.

JAKARTA (Reuters) - Indonesia's communications ministry said on Tuesday it will summon representatives from messenger services and search engine providers including Alphabet Inc's Google to push them to clean up obscene content.

Baidu Inc.'s autonomous car stands at the company's headquarters in Beijing, China, in January, 2016. For years China has watched with envy as the West developed one frontier technology after another, while it could only count on low-cost labor to fuel growth. Now a fundamental shift is underway in one of the hottest fields of technological innovation: Artificial Intelligence (AI). China is no longer simply catching up with the U.S., it is now taking the lead in some fields of AI, experts say. The country's AI advances stem from significant state support coupled with an increasingly vibrant private sector.

They are a dream of researchers but perhaps a nightmare for highly skilled computer programmers: artificially intelligent machines that can build other artificially intelligent machines. With recent speeches in both Silicon Valley and China, Jeff Dean, one of Google's leading engineers, spotlighted a Google project called AutoML. ML is short for machine learning, referring to computer algorithms that can learn to perform particular tasks on their own by analyzing data. AutoML, in turn, is a machine-learning algorithm that learns to build other machine-learning algorithms. With it, Google may soon find a way to create AI technology that can partly take the humans out of building the AI systems that many believe are the future of the technology industry.

Apple may have just recently launched the iPhone X, but there are already rumors about its next-generation handsets for 2018. This week, a new report is claiming that its Taiwanese supplier TSMC is already preparing the processors for iDevices that will be released from 2018 to 2021. On Monday, Patently Apple reported that Apple supplier Taiwan Semiconductor Manufacturing Company (TSMC) is already aggressively scheduling the processors for the iDevices the Cupertino giant is planning to release starting next year. The processors that the company is making are notably smaller and faster than previous iterations. The outlet further revealed that TSMC has been investing in AI for mobile computing, IoT, automotive electronics and high-performance computing.

There have been only two Chinese researchers out of 289 elected as Fellows of the Association for the Advancement of Artificial Intelligence (AAAI), "but the number of Chinese AI researchers is growing unbelievably fast," said Lee. "There is no data like more data," Lee quoted AI pioneer Fred Jelinek. Most of the AI algorithms are open source and well-known, he said, you just need a few smart people to tweak them. Companies such as Facebook and Google owe their success to a virtuous cycle: More data leads to a product that is better trained with AI which leads to more users and making more money, enabling the hiring of more scientists and the acquisition of more machines, processing and mining even more data. As Lee pointed out, the data gap between the US and China is "dramatically larger" than the actual gap between the respective populations or the number of active mobile users. Chinese use their phones to pay for goods 50 times more often than Americans, he says, and orders for food delivery are 10 times greater than in the US. All of this is data available for training AI models. "China is leapfrogging the way mobile is and should be used," says Lee. US used to have the best payment infrastructure in the world--credit cards. But China got the chance to leapfrog, says Lee, with mobile payments: frictionless, peer to peer, instantaneous. This mobile infrastructure and all the applications built on top of it generate lots of data feeding into the AI virtuous cycle.

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