Understanding the Foundation: How LLMs Process Your Input

First of four parts Before we can understand how attackers exploit large language models, we need to understand how these models work. This first article in our four-part series on prompt injections ...
i-SCOOP

Attention is all you need, the Paper that revolutionized Natural Language Processing

Discover the groundbreaking concepts behind "Attention Is All You Need," the 2017 Google paper that introduced the ...
Cyber Defense Magazine

The New AI Arsenal: Why LLMs and Transformers Matter for CISOs

As Chief Information Security Officers (CISOs) and security leaders, you are tasked with safeguarding your organization in an ...
VentureBeat

z.ai's open source GLM-5 achieves record low hallucination rate and leverages new RL 'slime' technique

Chinese AI startup Zhupai aka z.ai is back this week with an eye-popping new frontier large language model: GLM-5. The latest in z.ai's ongoing and continually impressive GLM series, it retains an ...
Seeking Alpha

Vishay Intertechnology Launches Space-Grade 150 W Planar Transformers Optimized for 28 V Input Forward Converters

MALVERN, Pa., Oct. 29, 2025 (GLOBE NEWSWIRE) -- Vishay Intertechnology, Inc. (VSH) today introduced a new series of 150 W low profile, space-grade planar transformers with multiple output secondaries ...
IEEE

A Dual-Transformer-Based Resonant Converter with Constant Switching Frequency and Variable Input/Output Gains for Aircraft Electrification

Abstract: This paper proposes a novel dual-transformer-based resonant converter for electric aircraft applications. Different from conventional resonant converter topologies, the proposed converter ...
GitHub

[Bug] Can not output model's attention in transformers framework

Thank you for your outstanding work on this project! I'm currently conducting research that requires accessing the attention outputs of the model. However, despite ...
Frontiers

A hybrid LSTM–transformer model for accurate remaining useful life prediction of lithium-ion batteries

With the widespread application of lithium-ion batteries in electric vehicles and energy storage systems, health monitoring and remaining useful life prediction have become critical components of ...