Research Bits: Apr. 29


Microchannels for two-phase cooling Researchers from the University of Tokyo propose cooling chips using microchannels built into the chips themselves. The method utilizes microfluidic channels to create a capillary structure through which coolant flows and a manifold distribution layer that controls the distribution of coolant. The structure enabled two-phase cooling through better managem... » read more

Research Bits: April 22


PIC heterogeneous integration Researchers from Hewlett Packard Labs, Indian Institutes of Technology Madras, Microsoft Research, and University of Michigan built an AI acceleration platform based on heterogeneously integrated photonic ICs. The PIC combines silicon photonics along with III-V compound semiconductors that functionally integrate lasers and optical amplifiers to reduce optical l... » read more

Leveraging Foundation IP For Low-Power AI Processor Development


Artificial intelligence (AI) has become widespread in recent years, quickly establishing itself as a groundbreaking technology. AI operates on machine learning (ML) algorithms, which demand substantial computational power. Traditionally, designers have utilized graphics processing units (GPUs) to run these ML algorithms. Initially created for graphics rendering, GPUs have shown to be highly eff... » read more

Research Bits: Apr. 15


Shape-morphing OLED panel with built-in speaker Researchers from Pohang University of Science and Technology (POSTECH) developed a flexible OLED panel that can freely transform its shape while simultaneously functioning as a speaker. The design is based on a based on a specialized ultra-thin piezoelectric polymer actuator that when integrated into a flexible OLED panel enables electrically ... » read more

Are You Ready For AI?


The semiconductor industry sits at the heart of the artificial intelligence revolution, providing the essential computational foundation that powers AI's rapid evolution. However, new research suggests that while AI adoption is accelerating globally, strategic implementation remains a significant challenge across industries. According to the recently released Arm AI Readiness Index Report, 8... » read more

Lego-Style Software For Automotive And Industrial Chiplet Systems?


Chiplets are a key topic in the semiconductor industry today, as they offer the potential to greatly increase the performance and flexibility of chips. The current focus is primarily on implementation, in particular on the architecture and the development of die-to-die interfaces that enable efficient communication between the individual chips. These technologies hold out the promise of meeting... » read more

Delivering Breakthrough Performance And Power Efficiency With PCIe 6


PCI Express (PCIe) has been the backbone of high-speed data transfer in computing systems for nearly two decades. With each iteration, PCIe has not only increased data bandwidth but also introduced innovations aimed at enhancing power efficiency—a critical factor in today's energy-conscious computing environment. PCIe 6 introduced significant technical improvements that optimize power consump... » read more

Chiplet Tradeoffs And Limitations


The semiconductor industry is buzzing with the benefits of chiplets, including faster time to market, better performance, and lower power, but finding the correct balance between customization and standardization is proving to be more difficult than initially thought. For a commercial chiplet marketplace to really take off, it requires a much deeper understanding of how chiplets behave indiv... » read more

Implementing AI Activation Functions


Activation functions play a critical role in AI inference, helping to ferret out nonlinear behaviors in AI models. This makes them an integral part of any neural network, but nonlinear functions can be fussy to build in silicon. Is it better to have a CPU calculate them? Should hardware function units be laid down to execute them? Or would a lookup table (LUT) suffice? Most architectures inc... » read more

Thermal Analysis Of 3D Stacking And BEOL Technologies


Thermal challenges in 3D-IC designs can cause a significant risk in meeting performance specifications. While the pace of Moore’s Law has slowed in recent years, system technology co-optimization (STCO) promises to mitigate technology scaling bottlenecks with system architecture tuning based on emerging technology offerings, including 3D technology. AI-driven inference accelerators continu... » read more

← Older posts