The Risk Of Losing Track Of Your IP


What happens when you misuse IP, intentionally or otherwise? Pedro Pires, applications engineer at Cliosoft, talks about the challenges of keeping track of IP across multiple chip design projects, which can grow to include dozens of third-party IP blocks, last for long periods of years, and span multiple continents. » read more

Accelerating Software Development With Fast Virtual Prototypes


Most of today's largest semiconductor devices are highly complex system on chip (SoC) designs, which means that they include one or more embedded processors. This indicates that software provides some of the key functionality of the chip. The system cannot be fully verified or validated without both hardware and software. However, software development generally takes more time and resources to ... » read more

Components And Tools for Functional Safety Applications


Functional safety is important across a variety of markets, including the automotive, industrial, medical, and railway sectors, and often prevalent in consumer electronics. However, the complexity of the embedded software required for functional safety is growing and security issues are rising due to connectivity requirements. This can result the failure of a safety-critical system and lead to ... » read more

High-Tech: Innovation At The Speed of Light


As connectivity, digitalization, and autonomy proliferate, the boundaries between industries are blurring at an unprecedented pace. Promising to unleash $3TN in global technology market spending, the new competitive battleground is to be found where the system electronics and semiconductor worlds collide: The 3D Integrated Circuit System-on-a-Chip. Winning demands a new design paradigm that ... » read more

AI Goes Ultra Low Power — Part 1


Based on the concept of the new Federal Agency for Jump Innovations (PSRIN-D), the BMBF initiated three pilot innovation competitions. One of them presented the participants with the task of developing the most energy-efficient AI system possible as a hardware implementation on an ASIC or FPGA. With this, a stack of hundreds of two-minute long ECG signals should be analyzed with a minimum of en... » read more

Setting Ground Rules For 3D-IC Designs


Experts at the Table: Semiconductor Engineering sat down to discuss the changes in design tools and methodologies needed for 3D-ICs, with Sooyong Kim, director and product specialist for 3D-IC at Ansys; Kenneth Larsen, product marketing director at Synopsys; Tony Mastroianni, advanced packaging solutions director at Siemens EDA; and Vinay Patwardhan, product management group director at Cadence... » read more

HyperRAM As A Low Pin-Count Expansion Memory For Embedded Systems


Rapid advances in microelectronics are driving mega trends across industries, creating a need for new technologies and optimized devices with better performance. With large volumes of data being made available due to the increasing content of electronics in automotive, industrial, smart home and IoT devices, there is a requirement to seamlessly process and render information. Application platfo... » read more

Blog Review: Jan. 12


Synopsys' Twan Korthorst introduces the history of photonics, why it is important for the semiconductor industry, key market applications, and the future of photonic integrated circuits. Cadence's Paul McLellan takes a look at TSMC's recent announcements around its N3 and N3 HPC notes and the push for performance gains through design technology co-optimization Siemens' Sebastian Flock che... » read more

Multi-View Fusion of Sensor Data for Improved Perception and Prediction in Autonomous Driving


Abstract "We present an end-to-end method for object detection and trajectory prediction utilizing multi-view representations of LiDAR returns. Our method builds on a state-of-the-art Bird's-Eye View (BEV) network that fuses voxelized features from a sequence of historical LiDAR data as well as rasterized high-definition map to perform detection and prediction tasks. We extend the BEV network ... » read more

Research on quantum cognition in autonomous driving


Abstract "Autonomous vehicles for the intention of human behavior of the estimated traffic participants and their interaction is the main problem in automatic driving system. Classical cognitive theory assumes that the behavior of human traffic participants is completely reasonable when studying estimation of intention and interaction. However, according to the quantum cognition and ... » read more

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