The Need for System-Technology Co-Optimization (STCO)


Modern semiconductor components are becoming more and more complex and cost sensitive. To master technological and economic challenges, new chiplet approaches and heterogeneous integration technologies are becoming increasingly relevant. This, in turn, calls for new heterogeneous design approaches. They make it possible to combine different design domains across technological options while sati... » read more

Coloring Optical Signals For More Bandwidth In Data Centers


Copper cabling has been the workhorse for moving data inside of AI and HPC data centers, but fiber is nipping at its heels. Optics brings three possible bandwidth multipliers — wavelength-division multiplexing (WDM), the use of different modes, and polarization. Each has a role in longer-distance optical links, but the tradeoffs are different in the data center. WDM appears poised to boost... » read more

The Feasibility Of Deploying FPGA-Based TCEP Synchronization In Real-World Quantum Networks


Precise time synchronization is a key challenge in building distributed quantum systems – and it plays a crucial role in secure communications, quantum computing, sensing, the foundations of future 6G networks and the quantum internet. In the paper titled "TCEP-Based Synchronization for Practical Communication Network,"researchers from TU Dresden, IIT Dharwad, Fraunhofer Institute for Inte... » read more

Making The Most of Test Resources


Semiconductor testing is undergoing multiple paradigm changes at once with the common goals of producing more known good die per month with low test cost. Achieving these goals requires a delicate balance between yield, quality, and test times. There are multiple ways to go about making better use of existing resources, many of which involve an increasing use of design for test (DFT) methods... » read more

6G Line-Of-Sight Repeaters, Dots, And Reflections


6G will open the door to ultra-reliable, low-latency communications, extended broadband, and machine communications, but its rapid signal attenuation places some sharp limits on where and how it can be used, and requires some expensive options to overcome those limitations. Applications include lifelike virtual reality for home and work use, highly interactive smart homes and cities, and aut... » read more

Security Requirements And Penalties Grow For Chipmakers


Governments and systems companies are fundamentally changing the rules around semiconductor security, forcing chipmakers and their suppliers to comply with tough new regulations that require resiliency in hardware. Unlike in the past, chips and systems deployed in these markets must be able to respond to threats rather than waiting for the next version of a chip or IP to address vulnerabilities... » read more

Re-Architecting AI For Power


The industry is becoming increasingly concerned about the amount of power being consumed by AI, but there is no simple solution to the problem. It requires a deep understanding of the application, the software and hardware architectures at both the semiconductor and system levels, and how all of this is designed and implemented. Each piece plays a role in the total power consumed and the utilit... » read more

Reliable Training Data Paramount To AI Model Success


AI systems are increasingly being integrated into safety- and mission-critical applications ranging from automotive to health care and industrial IoT, stepping up the need for training data that is reliable, secure, and which is generated from trusted sources. AI activity is growing exponentially, as everybody tries to figure out how to apply it to their domain, application, or workload. In ... » read more

Will New Processor Architectures Raise Energy Efficiency?


Data centers continue to heat up as new processors consume more energy than ever before. Cooling is the primary weapon against the heat these processors generate, but it won’t be able to keep up forever with traditional processor architectures. New ones may be necessary. There are opportunities today to make well-known architectures more energy-efficient, but the number of options for subs... » read more

AI and Data-Driven Methods To Make Telecom Networks Smarter, More Efficient


As the demand for faster and more affordable mobile connectivity grows, so does the challenge of ensuring that networks can keep up – both in performance and profitability. A new technical paper titled " Hierarchical Feature-based Time Series Clustering Approach for Data-driven Capacity Planning of Cellular Networks"  features a multi-level, explainable clustering framework that analyzes ... » read more

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