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In recent years, developers have introduced artificial intelligence (AI) systems that can simulate or reproduce various human abilities, such as recognizing objects in images, answering questions, and more. Yet in contrast with the human mind, which can deteriorate over time, these systems typically retain the same performance or even improve their skills over time.

As auto giant Volkswagen AG races to catch up with upstart Chinese competitors, it has drivers like 26-year-old Ren Yiling in mind.

We are far from overcoming humanity's material needs, which means we need more production. The problem is not "excess" investment in capacity, but making sure that the capacity can be fully utilized.

Reinforcement learning (RL) is a machine learning technique that trains software by mimicking the trial-and-error learning process of humans. It has demonstrated considerable success in many areas that involve sequential decision-making. However, training RL models with real-world online tests is often undesirable as it can be risky, time-consuming, and importantly, unethical. Thus, using offline datasets that are naturally collected through past operations is becoming increasingly popular for training and evaluating RL and bandit policies.

Tesla's first-quarter net income plummeted 55%, but its stock price surged in after-hours trading Tuesday as the company said it would move up production of new, more affordable vehicles.

Donning hijabs and floor-length abaya gowns over shorts and tank tops, Chinese students at an e-commerce school perform into a smartphone camera as they learn how to sell the clothes to overseas TikTok users.

Italy's competition authority said Wednesday it had fined two Amazon companies 10 million euros ($10.6 million) for unfair commercial practices, for pushing customers into agreeing to "recurring" rather than "one-time" purchases online.

Frenchman Christophe Fouquet takes the reins of Dutch chip giant ASML on Wednesday with a daunting to-do list, top of which will be steering business with China as semiconductors become a geopolitical battleground.

Australia's top spy on Wednesday urged greater cooperation from the big tech companies, asking them to break a long-held industry taboo by providing access to encrypted messages.

Shares of Chinese electric vehicle maker Li Auto fell as much as 8.3% in Hong Kong on Monday and were nearly 5.6% lower on the Nasdaq, reflecting

Alibaba’s cloud computing unit will offer free training, inferencing, and deployment services based on Meta’s new Llama 3 open-source model for a limited

The launch comes as Geely’s EV unit sees strong and continuous demand for its products on its home turf and is set to embark on a major push into global markets

TNGlobal is excited to announce the ORIGIN: Asia Tech Conference, themed “Unleashing Potential, Reimagine Future” to be held on May 23, 2024,

As JD gears up for June’s 618 event, China’s second-largest shopping festival, the attempt to introduce highly life-like digital personalities as sales anchors aims to reduce merchants' operational costs and compete against rival platforms' more-established human-hosted livestreams.

TeTencent Games said on Monday it will launch a mobile version of Dungeon and Fighter on May 21, a game seven years in development, after the Chinese tech

Huawei on Tuesday launched a redesigned M5 compact crossover, the first model under the Aito lineup with manufacturing partner Seres. The Chinese tech

The rise of commercially viable generative artificial intelligence (AI) has the potential to transform a vast range of sectors. This transformation will be particularly profound in contemporary military education.

There's some irony in the fact that devices that seem indispensable to modern life—mobile phones, personal computers, and anything battery-powered—depend entirely on minerals extracted from mining, one of the most ancient of human industries. Once their usefulness is spent, we typically return these objects to the earth in landfills, by the millions.

We use computers to help us make (hopefully) unbiased decisions. The problem is that machine-learning algorithms do not always make fair classifications if human bias is embedded in the data used to train them—which is often the case in practice.

Video gamers who exploit glitches in games can help experts better understand buggy software, students at the University of Bristol suggest.