New finding: ChatGPT sources 83% of its carousel products from Google Shopping via shopping query fan-outs

A new study reveals what data sources ChatGPTs product carousels prefer to use. Here’s how we analyzed shopping query ...

Direct Prompt Injection: How Attackers Manipulate LLM Input

Direct prompt injection occurs when a user crafts input specifically designed to alter the LLM’s behavior beyond its intended boundaries.
Security Boulevard

Dust Specter APT Targets Government Officials in Iraq

IntroductionIn January 2026, Zscaler ThreatLabz observed activity by a suspected Iran-nexus threat actor targeting government officials in Iraq. ThreatLabz discovered previously undocumented malware ...

Cracking the code: How a 'prediction machine' is resurrecting the Singapore Stone

Several years ago, my linguistic research team and I began developing a computational tool we call "Read-y Grammarian." Our ...
EDN

Turbo-product codes advance ECC technology

Communication-system designers have always had to deal with trade-offs among data reliability, efficient use of available spectrum, data throughput, and cost. Error-correction coding (ECC) is one of ...
National Academies of Sciences%2c Engineering%2c and Medicine

The Unpredictable Certainty: White Papers

This paper describes techniques for implementing a video decoder that can decode MPEG-2 high-definition (HD) bit streams at a significantly lower cost than that for previously described ...
EDN

Self-correcting codes conquer noise, part 2: Reed-Solomon codecs

test and verify the Reed-Solomon codec. Each of these steps is important, and missing one results in developing hardware that does not work the first time and must be re-created. For example, it is ...
IEEE

Efficient Hardware Implementation of Partial Response Equalization with Reduced-State Sequence Estimation Decoder and Blind Adaptation Using Delay Zero Forcing Algorithm for DCI

Abstract: With the growing demand for data center interconnect (DCI) capacity, partial response equalization (PRE), employing either a 1/(1+D) decoder or an maximum likelihood sequence estimation ...
IEEE

CdualTAL: Multi-Domain Tool Wear Prediction Using a Dual-Channel Transformer and Cross-Attention Network

Abstract: Accurate tool wear prediction is crucial for manufacturing efficiency, yet effectively using multi-domain sensor features is difficult due to redundant noise. There is a critical need to ...