Popular Articles
Technology
17.10.2026
AI Agents: Why Interoperability Matters in 2026
AI agents are moving from demos to day‑to‑day work, and by 2026 the make‑or‑break question won’t just be “how smart is it?”—it’ll be “how well does it plug into everything else?” This article explains what AI agents are in practical terms and why interoperability matters when you need an agent to talk to your apps, databases, calendars, ticketing tools, and internal APIs. It offers a hands-on way to evaluate agent platforms, connect them to real systems, and reduce hidden risks tied to data access, permissions, audit trails, and reliability. You’ll learn which standards and integration patterns agents rely on, what commonly fails when connectors don’t align, how to test interoperability with simple, concrete checks, and how to compare tools using a clear decision checklist.
Technology
11.10.2026
Why AI Chips Depend on Memory Bandwidth
AI accelerators do more than run neural networks: they fetch weights, activations, and intermediate results under tight timing. This matters for anyone evaluating GPUs, AI chips, or cloud inference, because memory bandwidth often limits throughput. This article explains how bandwidth interacts with compute, why “more TOPS” can still bottleneck, and what to check in specs and benchmarks. You’ll learn practical ways to interpret memory metrics, workload behavior, and system-level tradeoffs.
Technology
05.10.2026
How Time-of-Flight Sensors Measure Distance
Time-of-Flight (ToF) sensors estimate distance by sending light pulses and measuring how long they take to return. This guide explains the measurement chain, common error sources, and how ToF differs from other distance methods. It’s for readers evaluating ToF in phones, robotics, and vehicles, or trying to interpret sensor specs. You’ll learn how ToF timing works, what affects accuracy, and how to sanity-check results in real setups.
Technology
29.09.2026
How RISC-V Differs From Traditional CPU Architectures
RISC-V is an open instruction set architecture used to design CPUs for phones, servers, and embedded devices. This article explains how RISC-V’s design choices differ from common proprietary CPU approaches, why those differences matter for performance, power, and tooling, and where the trade-offs show up in real systems. Readers will learn what to compare in specs, how to judge compiler and ISA support, and what risks appear when software support lags.
Technology
23.09.2026
Why Quantum Error Correction Needs Logical Qubits
Quantum error correction protects fragile quantum states against noise from gates, measurement, and the environment. This article explains why error correction is built around logical qubits rather than raw physical qubits, and how encoding, syndrome extraction, and decoding work together. Readers will learn what “logical” means, which failure modes dominate, and how to judge claims about quantum hardware using realistic metrics like logical error rates and code distance.
Technology
17.09.2026
What Happens Inside a NAND Flash Memory Cell
This article explains how NAND flash stores bits at the cell level, focusing on the physical steps behind programming, reading, and erasing. It is for informed readers who want to understand why wear, retention limits, and error correction matter in SSDs and USB drives. You will learn how charge moves in a floating-gate transistor, what “threshold voltage” means, and how controller firmware turns raw cell behavior into reliable data.
Technology
11.09.2026
How Error-Correcting Codes Repair Corrupted Data
When you save a file or stream a video, tiny errors can creep in—bit flips from noise, aging storage, or shaky connections. Error-correcting codes (ECC) are the behind-the-scenes tools that spot those mistakes and often fix them before you ever notice. This guide walks through how popular schemes like Hamming, Reed–Solomon, and LDPC actually work, what kinds of damage they can and can’t recover from, and why even “strong” ECC has limits when corruption is severe. You’ll also learn what to check for in real-world products (drives, memory, networks), clear up common misconceptions, and see simple examples that make the core ideas click for anyone who cares about keeping data dependable.
Technology
05.09.2026
Why Silicon Photonics Moves Data With Light
Silicon photonics uses light in tiny chips to move data with lower loss and higher bandwidth than many copper links. This article explains how optical transmitters, modulators, and detectors work, where the speed gains come from, and what limits still exist. It helps readers evaluate claims about bandwidth, power, and reach in data centers and telecom, with practical checklists and common mistakes to avoid.
Technology
30.08.2026
How HBM Memory Feeds Modern AI Accelerators
HBM memory is a high-bandwidth DRAM technology used in many AI accelerators to move data fast between chips and compute engines. This article explains how HBM works at the signal and packaging level, why AI workloads stress memory bandwidth, and what practical metrics (bandwidth, capacity, latency, power) to look for. Readers will learn common misunderstandings, how to evaluate system trade-offs, and how to interpret real-world performance bottlenecks.
Technology
24.08.2026
Why EUV Lithography Needs 13.5 nm Light
EUV lithography uses 13.5 nm light to pattern extremely small features on semiconductor wafers. This article explains why that wavelength matters, how optics and masks handle such short light, and what limits drive the choice. It’s for readers who want a grounded view of chipmaking constraints, not marketing. You’ll learn the physics behind EUV, the role of multilayer mirrors and contamination control, and how engineers verify performance in production.