Easing EV Range Anxiety Through Faster Charging
Solving battery management, utilization, charging and vehicle-to-grid issues is essential to boosting EV adoption.
Security Focus Widens To HW, SW, Ecosystems
Change reflects higher value of data and push to more heterogeneous designs.
Thermal Challenges Multiply In Automotive, Embedded Devices
The small sizes and tight tolerances of embedded devices create big problems for reliability.
Securing Data In Heterogeneous Designs
Disaggregation, varied protections, and time to market demands make security an increasingly challenging problem for engineers.
Moving Software-Defined Vehicles Forward
Automotive OEMs must undergo a change of mindset and a willingness to embrace open standards for SDVs to become a reality.
Big Shift: Creating Automotive SW Without HW
Agile development may be the best approach for designing new vehicles, but it requires a complete mindset shift for carmakers, particularly with mi...
The Uncertainty Of Certifying AI For Automotive
Making sure systems work as expected, both individually and together, remains challenging. In many cases, standards are vague or don't apply to the...
Why It’s So Hard To Secure AI Chips
Much of the hardware is the same, but AI systems have unique vulnerabilities that require novel defense strategies.
Toward A Software-Defined Hardware World
New approaches to software-defined hardware involve a rethinking of model-based systems engineering.
Securing The World’s Data: A Looming Challenge
An influx of connected devices, more compute options, and the rapid growth of generative AI are making it much harder to prevent attacks.
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Moving Software-Defined Vehicles Forward
Automotive OEMs must undergo a change of mindset and a willingness to embrace open standards for SDVs to become a reality.
Big Shift: Creating Automotive SW Without HW
Agile development may be the best approach for designing new vehicles, but it requires a complete mindset shift for carmakers, particularly with mi...
Software-Defined Vehicle Momentum Grows
Challenges are massive and multi-faceted, but the auto industry recognizes the whole ecosystem needs to shift direction to remain viable.
Future-Proofing Automotive V2X
Questions remain about how far out the industry can reasonably plan due to the pace of change in technology and standards.
V2X Security Is Multi-faceted, And Not All There
Understanding how many different pieces will fit together is a prerequisite to a secure infrastructure.
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Toward Software-Defined Vehicles
Changes in software can be instantaneous, but the underlying platform needs to be robust, secure, and safe.
MCU Changes At The Edge
Microcontrollers become key platform for machine learning.
Adapting To Evolving IC Requirements
Right-sizing chiplets and other components based on real workloads.
Sensor Fusion Challenges In Automotive
Why a single, centralized architecture is so critical for sensors.
Rethinking Chip Economics
As features and functions increase, so do the complexity and costs of developing chips.
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