Morning Overview on MSN

A quantum trick is shrinking bloated AI models fast

Artificial intelligence has grown so large and power hungry that even cutting edge data centers strain to keep up, yet a technique borrowed from quantum physics is starting to carve these systems down ...

Unlocking Business Value With Open-Weight Large Language Models

Open-weight LLMs can unlock significant strategic advantages, delivering customization and independence in an increasingly AI ...
Defense One

For DOD, the future of large language models is smaller

The U.S. military is working on ways to get the power of cloud-based, big-data AI in tools that can run on local computers, draw upon more focused data sets, and remain safe from spying eyes, ...

XPENG-Peking University Collaborative Research Accepted by AAAI 2026: Introducing a Novel Visual Token Pruning Framework for Autonomous Driving

XPENG, in collaboration with Peking University, has had its paper "FastDriveVLA: Efficient End-to-End Driving via Plug-and-Play Reconstruction-based Token Pruning" accepted by AAAI 2026, one of the ...
Live Science

Large language models not fit for real-world use, scientists warn — even slight changes cause their world models to collapse

Large language model AIs might seem smart on a surface level but they struggle to actually understand the real world and model it accurately, a new study finds. When you purchase through links on our ...
Semiconductor Engineering

Small Vs. Large Language Models

The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...
Hosted on MSN

Large Language Models Get All the Hype, but Small Models Do the Real Work

There’s a paradox at the heart of modern AI: The kinds of sophisticated models that companies are using to get real work done and reduce head count aren’t the ones getting all the attention. Ever-more ...
Devdiscourse

Large language models move closer to clinical use in nutrition assessment

Dietary assessment has long been a bottleneck in nutrition research and public health. Common tools such as food frequency questionnaires, 24-hour recalls, and weighed food records rely heavily on ...
The Conversation

Large language models: how the AI behind the likes of ChatGPT actually works

Mark Stevenson has previously received funding from Google. The arrival of AI systems called large language models (LLMs), like OpenAI’s ChatGPT chatbot, has been heralded as the start of a new ...