Latest news with #BeihangUniversity
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Business Standard
09-06-2025
- Business Standard
How China's new hybrid AI chip could rewrite the rules of global computing
In a global first, China has begun the large-scale application of non-binary AI chips, deploying them across sectors as critical as aviation, intelligent displays, and industrial control systems. The breakthrough comes from Professor Li Hongge's team at Beihang University in Beijing and is based on a novel computing approach called Hybrid Stochastic Number (HSN) computing, according to a report by the South China Morning Post. The new chip merges conventional binary logic with stochastic, or probabilistic, logic to offer an alternative method for data processing. Importantly, the chip avoids reliance on US-restricted components. What problem is China trying to solve with hybrid computing? The report outlines two major limitations of conventional chips: the power wall and the architecture wall. - The power wall stems from binary logic's high energy demands. While binary systems—built on 1s and 0s—offer high accuracy, they consume large amounts of power, making it hard to scale. - The architecture wall refers to how alternative or non-silicon chips often cannot integrate well with the existing CMOS (complementary metal-oxide-semiconductor) infrastructure, which underpins most global computing today. Hybrid computing, says Li's team, provides a way around both. What is hybrid stochastic computing, and how does it work? Binary systems rely on precise calculations, demanding heavy hardware resources. Probabilistic or stochastic computing, on the other hand, represents values through voltage signal frequencies, thus consuming less power but often introducing delays and imprecision. By merging these two, Li's team created the Hybrid Stochastic Number system, combining: > Binary numbers (accurate but power-hungry) > Stochastic numbers (power-efficient but slower) > A hybrid form that achieves low energy use with high computational reliability The result, according to the team, is a chip that is more fault-tolerant, energy-efficient and resistant to signal noise. Where is this technology being used? According to the report, the chip has already been implemented in various real-world systems. In touch display systems, it improves user interaction by filtering out noise and detecting weak signals more accurately. In medical or industrial displays, it enables fast, low-power data processing for accurate readings. It is also being used in flight control systems, where it delivers steady navigation and strong fault tolerance—crucial for aerospace and defence operations. These systems benefit from the chip's in-memory computing capability, which cuts down energy-hungry data transfer between memory and processors, a major bottleneck in traditional systems. How was the chip built despite US tech restrictions? Despite the global race for cutting-edge chips being dominated by advanced nodes like 5nm or 3nm, Li's team used 110nm and 28nm manufacturing processes provided by Semiconductor Manufacturing International Corporation (SMIC), China's leading chipmaker. This is significant. By relying on mature, domestically available technologies, the team effectively sidesteps US export restrictions on high-end semiconductors while still pushing the envelope on performance through architectural innovation, not brute force hardware. What's next for this chip technology? The team is now developing a custom instruction set architecture (ISA) and microarchitecture tailored for hybrid probabilistic computing, the report said. This will enable the chip to support more advanced applications, including AI model acceleration, speech and image recognition, and neural networks. In essence, this could give China a home-grown pathway to support the future of large-scale AI and machine learning, independent of foreign technologies. As the US-China tech rivalry deepens, Beijing is pursuing self-reliance in semiconductors and this chip could be a template for how to innovate around restrictions. Instead of trying to match the US in advanced lithography, China is redefining computing logic itself. If successful, this approach could reshape global thinking about how chips are built, moving from raw transistor counts to new ways of doing math on silicon.
South China Morning Post
09-06-2025
- Science
- South China Morning Post
Beyond 1s and 0s: China starts mass production of world's first non-binary AI chip
Advertisement Spearheaded by Professor Li Hongge's team at Beihang University in Beijing, this breakthrough overcomes fundamental barriers in traditional computing by merging binary and stochastic logic, enabling unprecedented fault tolerance and power efficiency in intelligent control applications like touch displays and flight systems while sidestepping US chip restrictions Today's chip technologies face two big challenges: the power wall and the architecture wall, Li told the Beijing-based official newspaper Guangming Daily last month. The power wall stems from a fundamental contradiction – while binary systems are efficient at carrying information, they consume a large amount of power. The architecture wall is caused by the fact that new non-silicon chips cannot easily communicate with traditional systems based on CMOS or complementary metal-oxide-semiconductors. Li's team had been exploring alternatives since 2022. Their breakthrough came with the proposal of a new numerical system – Hybrid Stochastic Number (HSN) – which combines traditional binary numbers with stochastic or probability-based numbers. 01:38 China a 'key market', says Nvidia CEO Huang during Beijing visit as US bans AI chips China a 'key market', says Nvidia CEO Huang during Beijing visit as US bans AI chips Binary logic, the foundation of today's computing, represents variables using 0s and 1s and relies on precise arithmetic operations. However, large-scale binary computations require extensive hardware resources.
South China Morning Post
22-05-2025
- Science
- South China Morning Post
Award-winning Chinese radar expert Li Chunsheng dies aged 62 at conference
The leading Chinese radar expert Li Chunsheng has died at the age of 62. Li, a professor at the school of electronic information engineering of Beihang University in Beijing, became ill last week at a conference hosted by the China Radar Industry Association in Hefei, the capital of the southeastern province of Anhui. An obituary published by his university on Monday said he had 'devoted himself to developing China's aerospace industry'. Li specialised in synthetic aperture radar, with a particular focus on image processing and methods to enhance the quality of the images produced. His university said he had made 'systematic and significant contributions' to the development of the technology and that as a teacher he had helped cultivate top talent in the aerospace remote sensing sector. Li also held positions on a number of national military and aerospace organisations, including the Central Military Commission's science and technology committee. He published more than 80 academic papers and four monographs, and served as team leader and chief scientist on many major national research projects, including the National High-Tech Programme and National Basic Research Programme.
South China Morning Post
18-05-2025
- Science
- South China Morning Post
Nobel physicist Giorgio Parisi takes up complexity sciences post in China
Italian theoretical physicist and Nobel laureate Giorgio Parisi has taken up a senior position at a university in eastern China as the country strives to attract established scientists for top-tier research. The winner of the 2021 Nobel Prize for physics has moved from Rome to be a discipline leader at an international research centre for complexity sciences at Beihang University's Hangzhou campus in Zhejiang province. According to a university social media post, Beihang Communist Party secretary Zhao Changlu said he hoped Parisi would recommend more top researchers to join the university and help make it more international. Parisi said he would endeavour to 'promote more scientific cooperation between Beihang University and Italy, as well as with the rest of Europe', according to the post. The Hangzhou Innovation Research Institute, where Parisi will be based, is a joint project between the Zhejiang government and Beihang University, a training ground in Beijing for China's aerospace industry. The institute was officially opened in March 2023 and aims to become 'an international education and academic collaboration platform'. It has 20 research centres and is recruiting staff from China and abroad to join them.
The Star
03-05-2025
- Health
- The Star
Chinese researchers develop band-aid for organs, facilitating drug delivery
BEIJING, May 3 (Xinhua) -- Have you ever wondered how drugs find their way through the body? Traditional drug delivery methods work like sending a package to an unfamiliar city, often getting lost or ending up in the wrong place. But now, Chinese researchers have developed smart "band-aids" for organs that are likely to make drug delivery more precise and efficient. A collaborative research team from Beihang University, Peking University and other institutions has developed an electronic patch that acts as a band-aid for organs. According to the researchers, existing oral or intravenous drugs often float around in the bloodstream and struggle to find their exact target site. Not only is this inefficient, but it can also harm healthy organs along the way. Meanwhile, large-molecule drugs face an even tougher challenge in that they are often blocked by the cell membrane, which acts as a security gate. The team integrated flexible electronics and micro-nano processing technologies to create the ultra-thin patch, which is as thin as a regular sheet of printed paper and can be attached directly to the surface of an organ. The patch's unique structure enables its wireless power supply. It can safely perforate cell membranes at a low voltage and, through the ultra-high electric field strength formed within the nano-pores, can deliver drug molecules to the target site rapidly and precisely. "It's like creating a highway for drug delivery," said Chang Lingqian, a professor at Beihang University's School of Biological and Medical Engineering. "This study has already been applied in medical aesthetics and skin trauma repair, and it holds great promise for future treatments of major health issues like cancer and trauma," Chang added. The findings of the study were published in the international academic journal Nature on April 30.
