Getting Optimal PPA For HPC & AI Applications With Foundation IP


By Andrew Appleby, Xiaorui Hu, and Bhavana Chaurasia The demand for application-specific system-on-chips (SoCs) for compute applications is ever-increasing. Today, the diversity of requirements means there is a need for a rich set of compute solutions in a wide range of process technologies. The resulting products may have very different but demanding power, performance, and area (PPA) requi... » read more

See The Future of IoT: Planning For Success With Smart Vision


Computer vision devices that can ‘see’ and act on visual information are bringing new efficiencies and functionalities to IoT. But with new opportunities come complexities. The specific features and functionality of smart vision use cases vary widely. Creating a system that catches defects on an assembly line requires different imaging, machine learning, and workloads compared to one ... » read more

How To Characterize Low-Noise Amplifiers


Receivers only operate as well as their internal low-noise amplifiers perform. However, amplifiers prove to be the most challenging system component to characterize fully. Learn how the Keysight E5081A ENA-X network analyzer simplifies low-noise amplifier performance verification by using flexible hardware and advanced software capabilities to improve measurement accuracy and repeatability. ... » read more

AI-Driven Macro Placement Boosts PPA


In the era of EDA 4.0, artificial intelligence (AI) and machine learning (ML) are transforming what electronic design automation tools are capable of. For many of the challenges of physical IC design, AI can provide significant benefits to both the turnaround time and the quality of the design, as measured by performance, power, and area (PPA) metrics. One implementation step due for improve... » read more

Startup Funding: December 2023


Photonics and optics were strong in December, with investors funding two different companies using photonic technologies to develop AI chips and interconnects. Another key area — metaoptics — combines what traditionally would be separate lenses and optical components into a single, flat nanopatterned device. Metaoptics are being deployed in applications ranging from AI processing and sensor... » read more

Post-Quantum Cryptography (PQC): New Algorithms For A New Era


Post-Quantum Cryptography (PQC), also known as Quantum Safe Cryptography (QSC), refers to cryptographic algorithms designed to withstand attacks by quantum computers. Quantum computers will eventually become powerful enough to break public key-based cryptography, also known as asymmetric cryptography. Public key-based cryptography is used to protect everything from your online communications... » read more

A Solver Combination Strategy For Photonic Integrated Components


With the increasing demand for optical bandwidth, photonic integrated circuit (PIC) technology is undergoing a growth rate very similar to the one seen by electronic integrated circuits over the last half-century. To keep up with the increasing number of components and circuit complexity, efficient and reliable automated design tools are necessary to carry out virtual prototyping, improve yield... » read more

Research Bits: Jan. 8


High mobility graphene Researchers at the Georgia Institute of Technology and Tianjin University created a functional semiconductor made from graphene that is compatible with conventional microelectronics processing methods. "We now have an extremely robust graphene semiconductor with 10 times the mobility of silicon, and which also has unique properties not available in silicon," said Walt... » read more

SRAM’s Role In Emerging Memories


Experts at the Table — Part 3: Semiconductor Engineering sat down to talk about AI, the latest issues in SRAM, and the potential impact of new types of memory, with Tony Chan Carusone, CTO at Alphawave Semi; Steve Roddy, chief marketing officer at Quadric; and Jongsin Yun, memory technologist at Siemens EDA. What follows are excerpts of that conversation. Part one of this conversation can be ... » read more

Research Bits: Jan. 2


Synaptic transistor Researchers from Northwestern University, Boston College, and MIT developed a synaptic transistor that simultaneously processes and stores information similar to the human brain. The team said the transistor goes beyond simple machine learning tasks to categorize data and is capable of performing associative learning. The new device is stable at room temperatures. It als... » read more

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