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 ...
Journal of Medical Internet Research

Implementing Large Language Models in Health Care: Clinician-Focused Review With Interactive Guideline

Background: Large language models (LLMs) can generate outputs understandable by humans, such as answers to medical questions and radiology reports. With the rapid development of LLMs, clinicians face ...
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 ...

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

Some years ago, my linguistic research team and I started to develop a computational tool aimed at reconstructing the text of ...
Nature

AI can 'same-ify' human expression — can some brains resist its pull?

At the heart of today’s artificial-intelligence models are vast bodies of training data — text, videos and images created by real people and used to teach models how to recognize patterns and generate ...
InfoWorld

19 large language models redefining AI safety—and danger

Whether you are looking for an LLM with more safety guardrails or one completely without them, someone has probably built it.
Opinion
Harvard Business ReviewOpinion

Healthcare Uses Specialized Language. It Needs Specialized AI, Too.

The potential generative AI in healthcare is enormous. They can generate patient education materials or clinical notes in seconds, flag incomplete documentation to keep care on track, or even suggest ...
IEEE

Investigating Brain-Inspired Computing Architectures to Enhance Energy Efficiency in AI Models Using Neuromorphic Computing

Abstract: Brain-inspired computing is a method of enhancing the efficiency of artificial intelligence through clock speed, akin to the human brain. The traditional Deep Neural Network (DNN) had ...
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.
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 ...
Reuters

Exclusive: China's DeepSeek trained AI model on Nvidia's best chip despite US ban, official says

WASHINGTON, Feb 23 (Reuters) - Chinese AI startup DeepSeek's latest AI model, set to be released as soon as next week, was trained on Nvidia's (NVDA.O), opens new tab most advanced AI chip, the ...