Chip Industry Technical Paper Roundup: June 8


New technical papers recently added to Semiconductor Engineering’s library: Technical Paper Research Organizations DTCO of NOR-Type IGZO FeFETs for 3D Heterogeneous AI Memories: A Read-Centric Perspective 🔗 imec, KU Leuven ZK-Flex: A Flexible and Scalable Framework for Accelerating Zero-Knowledge Proofs 🔗 KAIST Thermal- and Aging-Aware Rowhamme... » read more

Chip Industry Week In Review


Computex in Taiwan: Arm and Nvidia introduced an AI PC platform, RTX Spark, with an Arm-based Grace CPU, Blackwell RTX GPU, and unified memory. Cadence announced a fully autonomous virtual agentic AI design engineer, enabling customers to run dynamic simulations in automated workflows. Intel launched Xeon 6+, its first data-center CPU built on Intel Foundry's 18A process. The company... » read more

Scaling Nanoribbon Transistors with Monolayer TMDs (Stanford, Chalmers, Horiba, SLAC)


Researchers from Stanford University, Chalmers University of Technology, HORIBA Scientific, and SLAC National Accelerator Laboratory have published “Scaling nanoribbon transistors with monolayer transition metal dichalcogenides”. Abstract “Nanoscale transistors demand aggressive scaling of all channel dimensions—length, width and thickness. Two-dimensional semiconductors (2DS... » read more

Chip Industry Technical Paper Roundup: Jun. 2


New technical papers recently added to Semiconductor Engineering’s library: Technical Paper Research Organizations Physical Foundation Models: Fixed HW implementations of large-scale neural networks 🔗 Yale University, Cornell University, Boston University, NTT Research Understanding Inference Scaling for LLMs: Bottlenecks, Trade-offs, and Performance Princip... » read more

Detecting Defect-Induced Silent Data Corruptions in CPUs (Stanford, Google)


Researchers from Stanford University and Google have published “ITHICA: Intra-Thread Instruction Checking Approach for Defect-Induced Silent Data Corruptions”. Abstract “Hyperscaler reports of silent data corruptions (SDCs)—presumed to be caused by silicon manufacturing defects—have motivated the development of functional tests for detecting defective CPUs and their use in h... » read more

Chip Industry Week in Review


Global The U.S. created a licensing path for Nvidia H200 shipments in January and has since approved sales to 10 Chinese companies, but so far no shipments have been confirmed, reports Reuters. With a looming end-of-year expiration, SIA, SEMI, and other business groups are urging Congress to extend the US semiconductor tax credit and expand it to cover semiconductor design and other act... » read more

Chip Industry Week In Review


Deals IBM and Arm are collaborating on a new dual‑architecture hardware aimed at enterprise AI and data-intensive workloads, using virtualization to boost reliability, security, scalability, and software compatibility. The goal, according to an IBM spokesperson, is to deliver side-by-side deployments of S390x-Linux and Arm-Linux virtual machines in a single kernel-based hypervisor. Nv... » read more

2D Semiconductors Inch Forward


Key Takeaways: Diffusing oxygen into 2D materials can improve adhesion properties. Channel-last processes can preserve most of the traditional gate-all-around process flow. Dual-gate MoS2 FETs with graphene contacts take advantage of layer transfer methods. Transition metal dichalcogenides (TMDs) have come a long way since exfoliated flakes were the state of the art, but the... » read more

Chip Industry Week In Review


Disruptions caused by the Iran conflict have taken about one third of the global helium supply off the market, an essential gas for semiconductor manufacturing, reports the World Economic Forum. Other potential impacts for the chip industry include bromine and other chemical shortages, logistical disruptions, and higher energy prices incurred by fabs in Asia. Top Deals IBM and Lam R... » read more

Chip Industry Technical Paper Roundup: Mar. 9


New technical papers recently added to Semiconductor Engineering’s library: Technical Paper Research Organizations FHECore: Rethinking GPU Microarchitecture for Fully Homomorphic Encryption 🔗 Boston University, Northeastern University, KAIST, University of Murcia Heterogeneous Memory Design Exploration for AI Accelerators with a Gain Cell Memory Compiler ... » read more

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