Differential signaling is a way of transmitting a signal using two conductors that carry equal-magnitude, opposite-polarity waveforms, and the receiver measures the voltage difference between them rather than referencing a common ground. This article discusses the physical properties, circuit mechanics, and system-level implementation requirements of differential signaling. The fundamental physical properties of a high-speed differential […]
How are AI-assisted models changing EV battery thermal management strategies?
AI battery thermal management now relies more on models that are primarily data-driven. Physics-based thermal models are accurate under controlled conditions but cannot adapt in real time to the variable loads, charge rates, and degradation states EV batteries encounter in service. This technical FAQ discusses how AI thermal models compare to physics-based approaches and which […]
What is generative AI channel modeling, and why does it matter?
As we move toward 5G Advanced and 6G, the way we model the wireless medium is shifting. The old, standardized models are no longer sufficient. We need high-dimensional, site-specific systems, such as Multiple-Input Multiple-Output (MIMO), to work effectively. This FAQ will discuss how we are moving from those generic scenarios to what we call “neural […]
How to approach AI hardware design to address the memory wall?
The transition from general-purpose computing to AI-specific hardware is driven by the specific computational and energy requirements of deep learning models. As these models scale to trillions of parameters, traditional architectures face the memory wall, where the energy required for data movement between memory and processing units significantly exceeds the energy consumed by the computation […]
Understanding I2C
The Inter-Integrated Circuit (I2C) protocol has been the backbone of short-distance, intra-board communication. However, implementing robust I2C communication is not just about connecting two wires. This FAQ analyzes the open-drain physical layer and the nuances of register-level addressing to better understand I2C communication. How does I2C differ from push-pull interfaces like SPI? The defining characteristic […]
Feedback topologies and architecture explained
Feedback refers to a core concept in circuit design and control theory, used to stabilize amplifiers and control system behavior. This article outlines the fundamental architecture of feedback, classifies standard topologies, and examines a practical hardware implementation as a case study. What is the fundamental architecture of a feedback system? A feedback system consists of […]
What is automotive Ethernet?
Automotive Ethernet is a physical layer standard that adapts standard Ethernet technology to the specific demands of the electric vehicle (EV) environment. This article examines how AE is evolving in-vehicle networking to meet the high-bandwidth, reliability, and architectural requirements of next-generation connected and autonomous vehicles. Networks, such as Controller Area Network (CAN) and Local Interconnect […]
Beyond cryptography, what hardware-level vulnerabilities are a concern in SoCs?
Silicon security has traditionally focused on cryptography, including hardening crypto-accelerators and protecting key storage. In System-on-Chip (SoC) design, this approach is insufficient. An SoC integrates multiple components, such as cores, memory, and third-party IP blocks, onto a single die. This integration introduces hardware-level vulnerabilities that do not target the cryptographic algorithms themselves. Instead, these threats […]
Embedded processors explained
An embedded processor is a microprocessor designed to perform a dedicated function within a larger mechanical or electrical system. Unlike the general-purpose processors found in personal computers or servers, embedded processors are optimized for specific tasks and are “embedded” into devices that are not primarily computers. Where are embedded processors used? The applications for embedded […]
How does deep learning actually work?
Deep learning has added a new dimension to engineering applications, from 5G signal processing to predictive maintenance in power grids. It automatically detects equipment failures and optimizes network traffic with accuracy. But how do these artificial systems actually learn from data? This FAQ explores the fundamental architecture of neural networks, the two-phase learning process that […]
