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A new semiconductor integration platform developed at Institute of Science Tokyo combines advanced chip packaging with high-density interconnects and improved thermal management. This combination of three complementary technologies helps overcome the key challenges in building high-performance artificial intelligence (AI) hardware. By enabling more precise chip placement, faster communication, and efficient cooling, the technology paves the way for more powerful and energy-efficient AI accelerators and high-performance computing systems.
Artificial intelligence (AI) is rapidly transforming technologies, creating a growing demand for faster and more powerful computing systems. Meeting these demands requires semiconductor chips that can process massive amounts of data at high speed. Now, instead of relying on individual chips, manufacturers are focusing on advanced semiconductor packaging, which combines multiple chips into a single package to improve computing performance. However, fitting these chips closer together while ensuring efficient communication and cooling remains challenging.
In this context, a research team led by Specially Appointed Project Professor Norio Chujo from the WOW Alliance Heterogeneous and Functional Integration Research Unit, Institute of Integrated Research, Institute of Science Tokyo (Science Tokyo), Japan, together with Researcher Hideki Kitada and Specially Appointed Project Professor Takayuki Oba from the same institute, in collaboration with the WOW Alliance, developed three core technologies to enable BBCube™, a next-generation semiconductor integration platform for AI systems. Their innovation was presented at the 2026 IEEE 76th Electronic Components and Technology Conference (ECTC) held in Florida, USA, from May 26 to 29, 2026, and the 2026 IEEE/JSAP Symposium on VLSI Technology and Circuits held in Hawaii, USA, from June 14 to 18, 2026.
