Latest news with #ZhejiangLab
Time of India
01-08-2025
- Business
- Time of India
China is building the future of AI, not Silicon Valley, says Alibaba Cloud founder
Wang Jian, founder of Alibaba Cloud and director at Zhejiang Lab, said China is building the future of artificial intelligence (AI), not Silicon an interview with Bloomberg, Wang said Chinese foundational AI models like Qwen and DeepSeek are much better than OpenAI's ChatGPT , adding that China is a testbed for new technology.'Foundational models like Qwen and DeepSeek are much better than ChatGPT. So we really need to fund creative people to build applications for them. In terms of applications, we are heavily biased toward OpenAI, because everyone sees ChatGPT as the only application that can provide security,' he said.'The Chinese market has a very important role in establishing new technology and making sure it is mature enough, positioning the country as a testbed of every new technology to get products to market,' he asked about the stiff competition in the AI space, Wang said it's no less than a marathon for new players to enter the AI race, adding that healthy competition enables fast replication of the technology.'When people get together and it is not just for competition, whether you win or not, you can have a very fast iteration of the technology because of the competition.'Commenting on Silicon Valley's progress on building AI capabilities, he said just a single organisation, or individual, cannot go far in this journey. Additionally, he said that China is a country that benefits from a stable make his point, Wang cited the example of Hangzhou, a city in China, claiming that one out of every four or five people there is a 'CEO.'Wang also addressed the big pay packets being offered in Silicon Valley to hire AI to him, the driving force for any organisation should be innovation, not patents.'What's happening in Silicon Valley is not the winning formula. We need the right talent, not expensive talent,' he said.'When you are in the early stage of innovation, I don't think a patent is a problem because the only thing you need to do is to get the right person, not really an expensive person,' he added. ET reported recently that over a dozen staff at Mira Murati's AI startup, Thinking Machines Lab (TML), have been approached or offered jobs by talent poaching follows a previous instance reported when Meta hired four AI researchers from OpenAI. The tech giant has bagged top talent from companies , including OpenAI, Anthropic, and GitHub, after top-level exits and a poor reception for its latest open-source Llama 4 the trend, the Sam Altman-led OpenAI also poached four top engineers from rival firms led by Elon Musk and Mark Zuckerberg last month.
Yahoo
28-07-2025
- Business
- Yahoo
Alibaba Cloud Founder on Silicon Valley Talent Grab
Alibaba Cloud Founder and Zhejiang Lab Director, Wang Jian, has spoken exclusively to our Asia Tech Correspondent Annabelle Droulers about the huge pay packets being offered to hire or poach Artificial Intelligence talent from companies. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Bloomberg
28-07-2025
- Business
- Bloomberg
Alibaba Cloud Founder on China's AI Future
In an exclusive interview with Bloomberg Television's Annabelle Droulers, Alibaba Cloud Founder and Zhejiang Lab Director Wang Jian says 'healthy competition' in China's AI industry is helping the country develop into a fast-paced test-bed to get products to market. He also addresses the big pay packets being offered in Silicon Valley to hire AI talent. (Source: Bloomberg)
Yahoo
28-07-2025
- Business
- Yahoo
Alibaba Cloud Founder on China's AI Future
In an exclusive interview with Bloomberg Television's Annabelle Droulers, Alibaba Cloud Founder and Zhejiang Lab Director Wang Jian says "healthy competition" in China's AI industry is helping the country develop into a fast-paced test-bed to get products to market. He also addresses the big pay packets being offered in Silicon Valley to hire AI talent. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Medscape
01-07-2025
- Health
- Medscape
Earwax Secretions May Help Detect Parkinson's Disease
Odors from earwax may help distinguish individuals with Parkinson's disease (PD) from those without the condition, a new study suggests. Researchers found that four volatile organic compounds (VOCs) in ear canal secretions significantly differed between participants with and without PD. The compounds — ethylbenzene, 4-ethyltoluene, pentanal, and 2-pentadecyl-1,3-dioxolane — may represent potential biomarkers. An artificial intelligence olfactory (AIO)-based screening model used in the study identified those with PD with 94% accuracy. 'The accuracy of the model really surprised us,' study investigator Hao Dong, Research Center for Frontier Fundamental Studies, Zhejiang Lab, Hangzhou, China, MD, told Medscape Medical News . However, the study was a 'small-scale, single-center experiment,' he noted in a press release. 'The next step is to conduct further research at different stages of the disease, in multiple research centers, and among multiple ethnic groups in order to determine whether this method has greater practical application value,' Dong said. The findings were published online recently in Analytical Chemistry . Unique Odor Profile 'Our team has long been engaged in the detection of [VOCs] secreted by the human body. By chance, we came across reports on the detection of sebum VOCs for Parkinson's,' Dong said. Sebum, the oily substance secreted by the skin, may carry a distinct scent in individuals with PD. In a 2019 study cited by Dong, researchers noninvasively collected sebum samples from the upper backs of 64 participants. The findings suggested that samples from those with PD contained compounds associated with a unique odor profile. Dong and his team began with a confirmatory experiment using sebum samples collected from the upper back, as in the original study. However, they found that earwax was easier to collect and had a more stable chemical composition. These findings led them to focus on earwax in the current study. Ear wax also contains sebum. But unlike sebum on the surface of the skin, which is exposed to various factors that can degrade it. In contrast, sebum on skin inside the ear canal is protected. Dong's study included 209 participants, 108 of whom had a diagnosis of PD. Ear canal secretions were collected from all participants using swabs and analyzed using gas chromatography-mass spectrometry. Results showed that ear canal secretions from participants with PD contained 196 distinct VOCs compared with 168 VOCs in those without PD. Interestingly, no two participants had identical VOC profiles. A Disease 'Fingerprint'? 'In this case, VOC components could be used as a 'fingerprint' for disease identification,' the researchers wrote. Adjusted analyses identified four VOCs that significantly differed between participants with and without PD: ethylbenzene, 4-ethyltoluene, pentanal, and 2-pentadecyl-1,3-dioxolane. The investigators trained the AIO system using VOC data. By combining gas chromatography-surface acoustic wave sensors with a convolutional neural network (CNN) model, the AIO system achieved up to 94.4% accuracy in distinguishing participants with PD from those without. In addition, the CNN model demonstrated a high level of performance with an area under the curve of 0.98, well above the 0.8 threshold considered strong by the researchers. 'Further enhancements to the diagnostic model could pave the way for a promising new PD diagnostic solution and the clinical use of a bedside PD diagnostic device,' the investigators wrote. For now, Dong said the study's takeaway message for clinicians is that 'the potential of volatile organic compounds secreted by the skin as biomarkers for Parkinson's disease has been further verified.'
