tag: edge AI

The Race Begins For Much Bigger Abstractions In Data Centers
By Ed Sperling - 17 Feb, 2026 - Comments: 0

Key Takeaways Data center build-out is enabling much larger and more complex abstractions. Competition is building for digital/virtual twins across multiple industry segments, including automotive, aerospace, and chip manufacturing. AI, and particularly AI agents, will play a significant role in sorting through data to find potential trouble spots. The frenzy of new data cen... » read more

One-on-One With proteanTecs CEO Shai Cohen
By Ed Sperling - 17 Feb, 2026 - Comments: 0

The acceleration of technology is unprecedented: AI data centers, edge build-out, robotics, photonics, quantum, multi-die assemblies. Semiconductor Engineering Editor in Chief Ed Sperling talks with proteanTecs CEO Shai Cohen about what's changing and what impact it will have. Click here to listen. » read more

The Role Of Embedded Processors In Enabling Smarter Wireless Devices
By Neeta Shenoy - 05 Feb, 2026 - Comments: 0

Every modern wireless device is expected to be fast, intelligent, power-efficient and always connected. When engineers seek reliable ways to deliver that intelligence without adding unnecessary complexity, they quickly discover that the embedded processor is the starting point. Below, we’ll explore the role of embedded processors in enabling smarter wireless devices and how they support p... » read more

Scaling Ultra-Low-Power Edge Intelligence For Smart Devices
By Tanushri Shah - 05 Feb, 2026 - Comments: 0

For decades, the data collection pipeline for sensors has been the exact same—measure, transmit, and process elsewhere. While it’s been a failproof method all these years, it’s also resulted in a large amount of energy consumption, meaning your smart watch could have a longer battery life. Neuronova is aiming to change things up. The company’s goal? Empowering the next generation of ... » read more

Changes In Chip Architectures At The Edge
By Ed Sperling - 04 Feb, 2026 - Comments: 0

Edge computing is all about low latency, within a tight power budget, and with sufficient performance. This is very different from an AI data center, where the real focus is on data throughput between processor and memory. Achieving those goals requires a focus on what different processing elements bring to the table. Nigel Drego, co-founder and CTO of Quadric, talks about how these different c... » read more

Performant Side-Channel Resistant RISC-V Core to Secure Neural Network Inference (Northeastern Univ.)
By Technical Paper Link - 12 Jan, 2026 - Comments: 0

A new technical paper titled "PermuteV: A Performant Side-channel-Resistant RISC-V Core Securing Edge AI Inference" was published by researchers at Northeastern University. Abstract "Edge AI inference is becoming prevalent thanks to the emergence of small yet high-performance microprocessors. This shift from cloud to edge processing brings several benefits in terms of energy savings, impr... » read more

Security Threats Converge On IoT, Industrial ICs, Physical AI
By Liz Allan - 08 Jan, 2026 - Comments: 0

Devices in a broad range of edge AI applications are increasingly at risk of hacking or tampering, with the stakes varying greatly depending on how much the device can impact and interact with human life. Design methods and protection techniques must now be included up front in the design cycle for optimal protection of consumers and companies as the quantum threat looms. In today’s factor... » read more

HW-Accelerated Physical AI Framework For Resource-Constrained Edge Devices (ASU)
By Technical Paper Link - 07 Jan, 2026 - Comments: 0

A new technical paper titled "Enabling Physical AI at the Edge: Hardware-Accelerated Recovery of System Dynamics" was published by researchers at Arizona State University. Abstract "Physical AI at the edge—enabling autonomous systems to understand and predict real-world dynamics in realtime—demands efficient hardware acceleration. Model recovery (MR), which extracts governing equations ... » read more

AI Moves Out Of The Cloud And Onto The Edge
By Lee Vick - 11 Dec, 2025 - Comments: 0

The impact of AI to date, in the cloud, is undisputed, but the question we must answer going forward is whether we can only expect more of the same or whether there is a fundamental shift looming that will change everything. Today, we will explore historical data to find patterns repeated through the ages to help us see what I will attempt to prove is imminent. A brief history of time… keepi... » read more

Next Generation AI: Transitioning Inference From The Cloud To The Edge
By Paul Karazuba - 11 Dec, 2025 - Comments: 0

AI inference deployments are increasingly focused on the edge as manufacturers seek the consistent latency, enhanced privacy, and reduced operational costs they can’t achieve in cloud-based deployments. While cloud-based platforms provide incredible computational power and enable widely adopted services, the dependence on network connectivity inherently creates variability, cost and security ... » read more

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