Top Stories

AI Data Centers And Auto Industry Converge On Same Issues
The EV revolution relies on battery innovation, while AI data centers need a range of new energy solutions to play nice with the grid. Both sectors are taking notes.

Defending Against AI-Enabled Data Fusion
As multimodal AI fuses data from billions of devices, attackers can weaponize detailed digital twins of people or systems.

Fine-Tuning Humanoid Vision And Movement
Ongoing innovations are enabling humanoids to see and move more like humans; smell and taste technology are next.

Sponsor Blogs

Siemens EDA’s Loay Hegazy, Mohamed Taher, and Sherif Hammouda examine bottlenecks in nanometer-scale semiconductor manufacturing, in Accelerating Computational Lithography With GPU Rasterization.

Rambus’ Vincent van der Leest shows how centralized compute platforms and OTA updates change a vehicle’s risk profile, in Securing The Software-Defined Vehicle Starts With Re-Architecting Trust.

Synaptics’ John Weil makes the case that edge AI is reaching a familiar inflection point, much like DSPs did in the 1990s, in Three Things DSP Adoption Can Teach Us About Edge AI.

Cadence’s Vishal Patel digs into the new standard for connecting flash memory, in NVMe 2.0 Explained: What’s New And Why It Matters.

Infineon’s Nilesh Badodekar demonstrates a structured way to contain firmware-based attacks before they escalate, in Platform Firmware Resiliency: How To Protect Your Data Center From The Ground Up.

Keysight Technologies’ Vivek Namsani outlines how his team uncovered jailbreaks and unsafe behaviors by systematically probing model inputs at scale, in Breaking LLMs With Fuzzing: Inside GPTFuzz’s Automated Jailbreak Machine.

Synopsys’ Dana Neustadter and Mehak Kalra introduce a comprehensive and flexible security architecture that protects both image data paths and control channels, in Securing Camera Data: Introducing The MIPI CSE 2.0 Security Solution.

Sponsor White Papers

Securing the Software Defined Vehicle: How Rambus and Telechips Enable Safe, Scalable Automotive SoC
Scalable, heterogeneous SoC platforms with built-in, system-level security, including the hardware-based Root of Trust.

Cadence Reality Digital Twin Platform and NVIDIA Omniverse Integration
Accelerating data center design and optimization for the AI Era.

Connectivity and Compute in Next-Generation Edge Devices
Bringing Wi-Fi 7, local AI processing and intelligent sensing together.

Re-Engineering Engineering for Automotive with Electronics Digital Twins for the SDV Era
Accelerate software bring-up, enhance collaboration, reduce prototyping costs, and ensure higher safety and reliability across the vehicle lifecycle.

Build Your Device Security Test Lab
Design your lab based on your needs, target, and security goals, using a modular combination of HW, SW, and expert training for embedded systems, chips, and secure elements.

A Massively Parallel GPU Rasterizer for Next-generation Computational Lithography
Accelerate computational lithography with GPU rasterization.

Solid-State Circuit Breakers From A System Perspective
How SSCBs can improve protection, efficiency, and reliability in next-gen electrical systems while addressing key design and implementation tradeoffs.

HyperLane: GPU Virtualization with Imagination
Stronger isolation, improved resource utilization, and the flexibility to integrate more SW features onto the same HW platform while still meeting rigorous safety and performance requirements.

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