InfoQ

Google Researchers Propose Bayesian Teaching Method for Large Language Models

Google Research has proposed a training method that teaches large language models to approximate Bayesian reasoning by learning from the predictions of an optimal Bayesian system. The approach focuses ...

Palantir Demos Show How the Military Could Use AI Chatbots to Generate War Plans

Software demos and Pentagon records detail how chatbots like Anthropic’s Claude could help the Pentagon analyze intelligence ...

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 ...
Chiang Rai Times

Thailand is Reshaping the Software Development Lifecycle With AI

Testing is where Thailand's AI adoption often pays off quickly, because it reduces waiting. AI can draft unit tests from code, suggest regression ...
Earth.com

How AI learned a complex coding language nobody taught it

Researchers show AI can learn a rare programming language by correcting its own errors, improving its coding success from 39% to 96%.
The Lancet

Mapping the susceptibility of large language models to medical misinformation across clinical notes and social media: a cross-sectional benchmarking analysis

aThe Windreich Department of Artificial Intelligence and Human Health, Mount Sinai Health System, New York, NY, USA bThe Hasso Plattner Institute for Digital Health at Mount Sinai, Mount Sinai Health ...
InfoQ

Busting AI Myths and Embracing Realities in Privacy & Security

Katharine Jarmul keynotes on common myths around privacy and security in AI and explores what the realities are, covering design patterns that help build more secure, more private AI systems.
GitHub

Fara-7B: An Efficient Agentic Model for Computer Use

Fara-7B is Microsoft's first agentic small language model (SLM) designed specifically for computer use. With only 7 billion parameters, Fara-7B is an ultra-compact Computer Use Agent (CUA) that ...
GitHub

Z80-μLM: A Retrocomputing Micro Language Model

Z80-μLM is a 'conversational AI' that generates short character-by-character sequences, with quantization-aware training (QAT) to run on a Z80 processor with 64kb of ram. The root behind this project ...
IEEE

Large Language Models (LLMs) and Generative AI in Cybersecurity and Privacy: A Survey of Dual-Use Risks, AI-Generated Malware, Explainability, and Defensive Strategies

Abstract: Large Language Models (LLMs) and generative AI (GenAI) systems, such as ChatGPT, Claude, Gemini, LLaMA, Copilot, Stable Diffusion by OpenAI, Anthropic ...
Rail

GWR battery train set for passenger use six days a week in next stage of tests

Great Western Railway is looking to operate its battery-electric Class 230 on Greenford branch services six days a week. Powered by six lithium-ion batteries with fast-charging equipment installed at ...
Harvard Business Review

When Every Company Can Use the Same AI Models, Context Becomes a Competitive Advantage

At a glance, the two large B2B companies were almost identical. Both sell complex, multi-year technology services; they compete for many of the same enterprise customers. Sales stages, forecasting ...