Semiconductor Chip Carrier can be divided into thermo-electric modules, and the power electronic substrates.
Thermo-electric modules are plate-like semiconductor cooling devices that work by using the movement of heat when a current flows through the junction of two different metals. Compact, lightweight, and Freon-free, they are used in climate control seats of automobiles, cooling chillers, optical communications, biotechnology, air conditionners, dryers and a variety of consumer electronic products.
Application of Thermo-electric module Manufacturing Technology for Heat Dissipation and Insulation Substrate
Generally, organic and metal substrates are used in the circuit boards of low-power home appliances and computers.
In particular, silicon nitride substrates are attracting attention for use in power modules of inverters and converters because of the increase in sales of HEVs and EVs. Chip Carrier Package,Ceramic Chip Carrier,Plastic Leaded Chip Carrier,Chip Carrier Socket SHAOXING HUALI ELECTRONICS CO., LTD. , https://www.cnsxhuali.com
However, alumina, aluminum nitride and silicon nitride substrates are used in heat radiation insulated substrates of power modules that handle high power.
On December 22nd, China launched its first "Neurological Research Center for Artificial Intelligence" at Beijing Tiantan Hospital. During the opening ceremony, Professor Wang Yongjun, a renowned neurologist and executive dean of Tiantan Hospital, emphasized that AI is set to revolutionize neurological care by improving prevention, treatment, prognosis, and rehabilitation. He stated that AI's unique advantages will drive a transformative "technological revolution" in the field of neurological diseases. The new center aims to elevate China’s overall neurological research standards and maintain its global leadership in this critical area.
According to reports, nerve cell damage is typically irreversible, making early detection and intervention crucial for effective treatment. However, due to the complexity of neurological disorders, challenges in accurate diagnosis, and inconsistencies in medical standards across hospitals, many patients face high rates of misdiagnosis and delayed treatment. With limited access to skilled professionals, diagnostic efficiency remains low. AI systems, however, can analyze vast amounts of medical data through deep learning, significantly improving diagnostic accuracy—reaching over 95%, comparable to that of top-tier chief physicians. By integrating these systems into local hospitals, patients no longer need to travel to major cities for quality care. They can receive personalized, high-quality treatment from their own communities, easing the burden of long waits and high medical costs.
Professor Wang also revealed that the center has already developed AI-powered diagnostic tools for head MRI and CT scans. These tools are designed to detect a wide range of brain conditions, including tumors, vascular diseases, and strokes. The system is expected to be officially launched at the Tiantan International Cerebrovascular Disease Conference in June next year. At the event, an international "human-computer challenge" will take place, where AI will compete with top global experts to test its diagnostic accuracy.
The success of AI in this field relies on advanced deep learning technologies and the expertise of leading clinical professionals. Beijing Tiantan Hospital is one of the world’s three major neurosurgical research centers and the only national clinical research center for neurological diseases in China. Recently ranked number one in the country for neurology and neurosurgery by the Chinese Academy of Medical Sciences, the hospital sees over 300,000 patients annually with complex neurological conditions. It also houses the largest encephalopathy tissue and blood sample bank in the country. Supported by a nationwide network of clinical research, the hospital has established a strong foundation for AI development and deep learning applications.
Looking ahead, the center plans to expand AI applications into areas such as automated pathological analysis, intelligent patient care for cerebral neuropathies, AI-driven treatment planning based on individual medical data, and rehabilitation training for speech and motor functions. As the center continues to grow, it promises to reshape the future of neurological healthcare in China and beyond.