Manufacturing Bits: Dec. 21
By Mark LaPedus - 21 Dec, 2021 - Comments: 0

Tiny electronic fountain pens Karlsruhe Institute of Technology (KIT) and Taiyuan University of Technology have developed what resembles a tiny electronic fountain pen, a technology that can pattern and deposit small structures on surfaces. The system from KIT and Taiyuan University is actually a high-precision tabletop microplotter, which is used to print or deposit materials for printed e... » read more

Power/Performance Bits: Dec. 21
By Jesse Allen - 21 Dec, 2021 - Comments: 0

Compact optical amplifier Researchers at Chalmers University of Technology propose a new optical amplifier design that is compact, high-performance, and doesn't generate excess noise. “We have developed the world's first optical amplifier that significantly enhances the range, sensitivity and performance of optical communication, that does not generate any excess noise – and is also com... » read more

Holistic FMEDA-Driven Safety Design And Verification For Analog, Digital, And Mixed-Signal Design
By Cadence - 21 Dec, 2021 - Comments: 0

With state-of-the-art electronics propelling the automotive industry into the future, automotive OEMs require safety-certified semiconductors. The integration of these advanced technologies into cars drives a need for component suppliers to assess and audit the risk of the technologies they want to deploy. At the same time, safety requirements are constantly evolving and becoming more stringent... » read more

Blog Review: Dec. 21
By Jesse Allen - 21 Dec, 2021 - Comments: 0

Cadence's Paul McLellan points to Log4J, a logging utility with a new major vulnerability that could affect hundreds of millions of devices, what's being done to address it, and why the underlying problems may be around for decades. Siemens EDA's Ray Salemi continues explaining how to use Python for verification by checking out the Python logging module for pyuvm and how it compares to UVM r... » read more

Flexible USB4-Based Interface IP Solution For AI At The Edge
By Synopsys - 21 Dec, 2021 - Comments: 0

Consumers have become accustomed to smart devices that are powered by advances in artificial intelligence (AI). To expand the devices’ total addressable market, innovative device designers build edge AI accelerators and edge AI SoCs that support multiple use cases and integration options. This white paper describes a flexible USB4-based IP solution for edge AI accelerators and SoCs. The IP so... » read more

Identification of two-dimensional layered dielectrics from first principles
By Technical Paper Link - 20 Dec, 2021 - Comments: 0

Abstract "To realize effective van der Waals (vdW) transistors, vdW dielectrics are needed in addition to vdW channel materials. We study the dielectric properties of 32 exfoliable vdW materials using first principles methods. We calculate the static and optical dielectric constants and discover a large out-of-plane permittivity in GeClF, PbClF, LaOBr, and LaOCl, while the in-plane permittiv... » read more

Transition-Metal Nitride Halide Dielectrics for Transition-Metal Dichalcogenide Transistors
By Technical Paper Link - 20 Dec, 2021 - Comments: 0

Abstract "Using first-principles calculations, we investigate six transition-metal nitride halides (TMNHs): HfNBr, HfNCl, TiNBr, TiNCl, ZrNBr, and ZrNCl as potential van der Waals (vdW) dielectrics for transition metal dichalcogenide (TMD) channel transistors. We calculate the exfoliation energies and bulk phonon energies and find that the six TMNHs are exfoliable and thermodynamically stabl... » read more

An Event-Driven and Fully Synthesizable Architecture for Spiking Neural Networks
By Technical Paper Link - 20 Dec, 2021 - Comments: 0

Abstract:  "The development of brain-inspired neuromorphic computing architectures as a paradigm for Artificial Intelligence (AI) at the edge is a candidate solution that can meet strict energy and cost reduction constraints in the Internet of Things (IoT) application areas. Toward this goal, we present μBrain: the first digital yet fully event-driven without clock architecture, with co-lo... » read more

NeuroSim Simulator for Compute-in-Memory Hardware Accelerator: Validation and Benchmark
By Technical Paper Link - 20 Dec, 2021 - Comments: 0

Abstract:   "Compute-in-memory (CIM) is an attractive solution to process the extensive workloads of multiply-and-accumulate (MAC) operations in deep neural network (DNN) hardware accelerators. A simulator with options of various mainstream and emerging memory technologies, architectures, and networks can be a great convenience for fast early-stage design space exploration of CIM hardw... » read more

Toward Software-Equivalent Accuracy on Transformer-Based Deep Neural Networks With Analog Memory Devices
By Technical Paper Link - 20 Dec, 2021 - Comments: 0

Abstract:  "Recent advances in deep learning have been driven by ever-increasing model sizes, with networks growing to millions or even billions of parameters. Such enormous models call for fast and energy-efficient hardware accelerators. We study the potential of Analog AI accelerators based on Non-Volatile Memory, in particular Phase Change Memory (PCM), for software-equivalent accurate i... » read more

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