Top Stories

Increased Automotive Data Use Raises Privacy, Security Concerns
More valuable data is being generated by vehicles and collected by a variety of companies. Who actually owns that data isn’t clear.

Securing DRAM Against Evolving Rowhammer Threats
A multi-layered, system-level approach is crucial to DRAM protection.

V2X Path To Deployment Still Murky
While industry experts expect many benefits of V2X technology, technological and social hurdles remain. But there is progress.

V2X Security Is Multifaceted And Not All There
Understanding how many different pieces will fit together is a prerequisite to a secure infrastructure.

Videos

Changes And Challenges In Auto MCUs
Why automakers are shifting their emphasis from custom hardware to differentiating in software.

Rethinking Chip Economics
As features and functions increase, so do the complexity and costs of developing chips.

Blogs

Siemens EDA’s Ann Keffer, Arun Gogineni, and James Kim share the details of a new functional safety methodology used in an SoC-level automotive test case, in Interoperability And Automation Yield A Scalable And Efficient Safety Workflow.

Synopsys’ William Ruby argues that auto IC designers must adopt many of the power reduction techniques used in the mobile space, such as power domain shutoff, voltage and frequency scaling, and effective clock and data gating, in Maximizing Energy Efficiency For Automotive Chips.

Cycuity’s Jason Oberg explains how understanding the characteristics of transient execution vulnerabilities helps prevent future ones, in Microarchitecture Vulnerabilities: Uncovering The Root Cause Weaknesses.

Infineon’s Andreas Schumacher suggests a “Semiconductor Tree” offers a better framework for discussing the different branches of the chip industry than focusing on feature size, in Semiconductors Beyond Nanometers.

Renesas’ Shingo Kojima digs into vision AI models and how the latest accelerators make it possible to immediately process the results of image recognition and AI judgment, in AI Performance And Real-Time Control In Robotics And Autonomous Applications.

Cadence’s Steve Brown shows how digital twins can help design more energy-efficient transportation and turbomachinery equipment to meet current environmental challenges, in Digital Twins And AI Acceleration Are Transforming System Design.

Flex Logix’s Jayson Bethurem outlines why ICs need to be adaptable when exponential amounts of data is coming from a multitude of sources and formats, in Accelerate Complex Algorithms With Adaptable Signal Processing Solutions.

Rambus’ Bart Stevens shows how to reduce the potential hardware attack surface as increasingly powerful devices process more data in more places, in Safeguarding IoT Devices With SESIP And PSA Certified Root Of Trust IP.

Sponsor White Papers

Complex Safety Mechanisms Require Interoperability And Automation For Validation And Metric Closure
Optimizing the safety workflow: A three-step workflow for efficient fault injection.

Next Generation Highly Power-Efficient AI Accelerator (DRP-AI3)
10x faster embedded processing in advanced AI for autonomous systems.

Optimized Drivetrain And New Semiconductor Technologies Enable The Design Of Energy-Efficient Electric Vehicles
To develop efficient electric vehicles the integration of complementary sub-systems and use of cutting-edge semiconductor technologies must be considered.

Ensure Zero Functional CDC Signoff Defects With VC SpyGlass Integrated Solution
Zero defects as a single cockpit for structural CDC and functional analysis.

HBM3E And GDDR6: Memory Solutions For AI
Explore HBM3E and GDDR6 memory capabilities, including the benefits and design considerations for each

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