Wi-Fi Flies Higher As Edge AI Build-Out Takes Root


Key Takeaways: Wi-Fi 7 is becoming an essential technology for edge AI, and subequent demands for even better reliability will grow as the edge build-out takes shape. Edge computing is based on the assumption that more data will be processed and stored locally, which will help reduce data leakage and theft. The big challenge ahead will be orchestrating data movement across different ... » read more

Reduce Memory Redesigns With Shift-Left


Engineering managers overseeing memory design know the pattern well: a promising architecture moves smoothly through schematic capture and into layout, only to stumble when integration testing reveals contention issues that force expensive redesigns. Address decoders that looked correct in isolation turn out to enable multiple banks simultaneously. Power switches configured for aggressive gatin... » read more

A Comprehensive Approach To 3D-IC Physical Verification


3D integrated circuits (3D ICs) are reshaping semiconductor development. While these architectures deliver significant performance, power and integration gains, they introduce new challenges in verification—across electrical, thermal and mechanical domains. Siemens Calibre offers a comprehensive platform for 3D IC physical verification, linking DRC, LVS, advanced thermal simulation, mechanica... » read more

Orbital Data Centers Are Souped-Up Satellites – For Now


Key Takeaways: Today’s orbital data centers are better described as compute centers in space, as they resemble satellite constellations more than terrestrial data centers. The most common power solution is sun-synchronous solar at the poles, but this requires a multi-hop data relay from power-hungry compute to standard satellite constellations in the low-orbit mesh, then to Earth. ... » read more

Keeping Security Algorithms Current Is Getting Harder


Key Takeaways: Keeping security algorithms current is now a lifecycle challenge that spans chip design, manufacturing, deployment, and long-term maintenance across the supply chain. To stay ahead of emerging threats — especially post-quantum risks — hardware must be built with cryptographic agility, secure roots of trust, and reliable update mechanisms from the start. The bigge... » read more

AI-Defined Vehicles Increase Pressure On Auto Ethernet Reliability


Key Takeaways: For AI-defined vehicles and onboard agentic AI, Automotive Ethernet provides high bandwidth for sensor data fusion, TSN ensures low latency and synchronization for real-time decisions, and MACsec secures the data link. Time-sensitive networking (TSN) is an essential protocol for ensuring 10BASE-T1S delivers data to where it needs to go on time. Still, it becomes less esse... » read more

Securing Terabit Ethernet For AI: Where MACsec, IPsec, And UET TSS Each Fit (And Why You Need More Than One)


As AI and HPC systems scale, the network has become both a critical enabler of performance and a rapidly expanding attack surface. The shift from rack-scale compute to cluster- and data center-scale AI infrastructure means that data is no longer confined to a single chip, board, or even system. Instead, it moves continuously across hundreds, or thousands, of endpoints, often at aggregate bandwi... » read more

Breaking The “Unhackable” Xbox One


For more than a decade, the Xbox One stood out as one of the most resilient consumer devices ever built. While other consoles from the same era were eventually jailbroken or modified, the Xbox One remained largely untouched. Its layered defenses, hardened boot process, and strong cryptographic foundations earned it a reputation as effectively “unhackable.” That assumption changed at RE//... » read more

Beyond PCIe Compliance: Why Stress Testing Is Crucial For Edge AI Deployments


Passing PCI Express (PCIe) compliance is different from being ready for the field. A PCIe link can clear every test in a controlled lab environment and still develop margin problems six months into deployment. That’s because a compliance traffic generator isn’t designed to replicate real-world operating conditions, such as thermal stress, electrical noise, and the kind of bursty inference t... » read more

Defending Smart Homes Against AI Cyber Attacks


In recent months, the cybersecurity capabilities of Large Language Models have become increasingly powerful. Recent research shows that today’s frontier models (Claude Mythos and OpenAI GPT 5.5) with proper tooling have cybersecurity capabilities similar to trained cybersecurity practitioners and are doubling their ability every four months. Access to these frontier models has been restricted... » read more

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