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Research Bits: July 16


Kirigami-inspired mechanical computer Researchers from North Carolina State University developed a kirigami-inspired mechanical computer that uses a complex structure of rigid, interconnected polymer cubes to store, retrieve, and erase data without relying on electronic components. The system uses 1-centimeter plastic cubes, grouped into functional units consisting of 64 interconnected cubes. ... » read more

Startup Funding: Q2 2024


AI drew more investors to the chip industry in Q2. Four AI-focused chip startups receiving rounds of more than $100 million, targeting data center ASICs for transformers, highly flexible platforms for the embedded edge, dataflow processors, and mixed-signal neuromorphic chips. In-memory computing also helped boost AI, with three companies either incorporating it into their chips or providing sp... » read more

Blog Review: July 10


Cadence's Paul Graykowski suggests using real number modeling to streamline digital mixed-signal verification using logic simulators and hardware emulators. Siemens' John McMillan and Microsoft's Amit Kumar introduce the basics of 3D-IC, describe the flow and data management challenges, look at the evolution of TSMC 3DBlox 1.0 and 2.0, and detail a physical verification and reliability analy... » read more

Blog Review: June 26


Cadence's Neelabh Singh examines the Gen4 link recovery mechanism in USB4 Version 2.0, an autonomous process that is initiated by a router when it encounters uncorrectable error events, and identified verification challenges. Synopsys' Gary Ruggles and Priyank Shukla highlight improvements to PCIe 7.0 that will enable secure data transfers and boost bandwidth for the next generation of AI an... » read more

Blog Review: June 19


Siemens' John McMillan and Todd Burkholder suggest using an automatic formal-based approach to verifying chiplet package connections early in the design process. Cadence's Veena Parthan explores the intricacies of wind tunnel testing in automotive design and how the collaborative relationship between computational fluid dynamics (CFD) and wind tunnels has resulted in accelerated and more nua... » read more

Research Bits: June 18


Gallium nitride can take the heat Researchers from Massachusetts Institute of Technology (MIT), the UAE's Technology Innovation Institute, Ohio State University, Rice University, and Bangladesh University of Engineering and Technology investigated the performance of ohmic contacts in a gallium nitride (GaN) device at extremely high temperatures, such as those that would be required for devices... » read more

Blog Review: June 12


Cadence's Deep Mehta finds that PCIe 6.0 switches need advanced verification strategies that delve deeper than basic functionality, such as generating backpressure traffic to identify potential performance bottlenecks and ensure the switch operates optimally in real-world scenarios. Siemens' Reetika explains why proper management and verification of reset domain crossing (RDC) paths are cruc... » read more

Blog Review: June 5


Cadence's Neelabh Singh provides an overview of the low power entry and exit flows in USB4 Version 2.0 link speed and how they have been simplified by making low power entry uni-directional and removing the need for certain handshakes for low power exit of the re-timers. In a podcast, Siemens' Steph Chavez chats with Daniel Beeker of NXP about the foundational importance of power distributio... » read more

Research Bits: June 4


Ultra-pure silicon Researchers from the University of Manchester and University of Melbourne developed a technique to engineer ultra-pure silicon that could be used in the construction of high-performance qubit devices that extend quantum coherence times. The highly purified silicon chips house and protect the qubits so they can sustain quantum coherence much longer, enabling complex calcul... » read more

Research Bits: May 28


Nanofluidic memristive neural networks Engineers from EPFL developed a functional nanofluidic memristive device that relies on ions, rather than electrons and holes, to compute and store data. “Memristors have already been used to build electronic neural networks, but our goal is to build a nanofluidic neural network that takes advantage of changes in ion concentrations, similar to living... » read more

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