The AI Paradox: Why World-Class Algorithms Fail On Second-Class Data

In 2026, tech leaders are learning a painful lesson: the problem with scaling AI adoption isn't understanding the algorithm, ...
The Poynter Institute for Media Studies

Lesson 13

Download the lesson materials here. Students will learn what ChatGPT is, how it works, and how to recognize AI-generated content. OBJECTIVES  Students will be able to:   Explain how ChatGPT produces ...
Frontiers

Beyond the Algorithm: Scalable, Explainable, and Adaptive AI for High-Stakes Clinical Decision Support

Artificial Intelligence (AI) has shown strong potential in supporting clinical decision-making through Clinical Decision Support Systems (CDSSs). However, ...
The Hacker News

AI Will Change Cybersecurity. Humans Will Define Its Success. A Lesson No Algorithm Can Teach

We recently worked with an organization that had invested heavily in advanced security tooling, including AI-driven detection and monitoring capabilities. From a technical perspective, the environment ...
IEEE

An Iterated Greedy Algorithm With Reinforcement Learning for Distributed Hybrid Flowshop Problems With Job Merging

Abstract: The distributed hybrid flowshop scheduling problems (DHFSPs) widely exist in various industrial production processes, and thus have received widespread attention. However, the existing ...
IEEE

Smart City Traffic Flow and Signal Optimization Using STGCN-LSTM and PPO Algorithms

Abstract: Urban traffic congestion remains a critical challenge for smart city development, necessitating innovative approaches to improve traffic flow and reduce delays. This study presents a novel ...
Ars Technica

Google’s TurboQuant AI-compression algorithm can reduce LLM memory usage by 6x

Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...