I Tried Mercedes' New In-Car AI Assistant. Then I Was Sad To Give It Up

The new Mercedes CLA-Class features an AI-powered, voice-controlled MBUX Virtual Assistant. Here's why it's more useful than ...
InfoWorld

A small language model blueprint for automation in IT and HR

For IT and HR teams, SLMs can reduce the burden of repetitive tasks by automating ticket handling, routing, and approvals, ...
Scientific Research Publishing

Early Alzheimer’s Disease Detection from Short Speech Samples Using Lightweight, Interpretable Linguistic Markers ()

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
Frontiers

Hybrid Artificial Intelligence Architectures for Automatic Text Correction in the Kazakh Language

The final, formatted version of the article will be published soon. The Kazakh language, as an agglutinative and morphologically rich language, presents significant challenges for the development of ...
ourculturemag

Glyphlora: Encoding the Non-Human Language – A Critical Reading of Jane Lee’s Techno-Linguistic Practice

Across the three sites of Tone in Tongue: Otis College of Art and Design in Los Angeles, the Shanghai Research Institute of Printing Technology in Shanghai, and the Maryland Institute College of Art ...
IEEE

Automatic MILP Model Construction for Multi-Robot Task Allocation and Scheduling Based on Large Language Models

With the accelerated development of Industry 4.0, intelligent manufacturing systems increasingly require efficient task allocation and scheduling in multi-robot systems. However, existing methods rely ...
GitHub

Heretic: Fully automatic censorship removal for language models

Heretic is a tool that removes censorship (aka "safety alignment") from transformer-based language models without expensive post-training. It combines an advanced implementation of directional ...
The Conversation

What are small language models and how do they differ from large ones?

Lin Tian receives funding from the Advanced Strategic Capabilities Accelerator (ASCA) and the Defence Innovation Network. Marian-Andrei Rizoiu receives funding from the Advanced Strategic Capabilities ...
IEEE

Autoregressive Language Model with Historical Context Re-encoding

Abstract: The foundation of current large language model applications lies in the generative language model, which typically employs an autoregressive token generation approach. However, this model ...
GitHub

RynnVLA-002: A Unified Vision-Language-Action and World Model

RynnVLA-002 is an autoregressive action world model that unifies action and image understanding and generation. RynnVLA-002 intergrates Vision-Language-Action (VLA) model (action model) and world ...
Futurism

Large Language Models Will Never Be Intelligent, Expert Says

Are tech companies on the verge of creating thinking machines with their tremendous AI models, as top executives claim they are? Not according to one expert. We humans tend to associate language with ...