If OpenAI can accidentally train its flagship model to obsess over goblins, what other more subtle and potentially harmful biases are being reinforced through the same feedback loops?
Hitachi leaders explain why manufacturing must reject "fail fast" culture in favour of reliable, deterministic AI to protect ...
Ford engineers are studying whether AI can play a role in detecting faulty run-downs. To do that, they first had to determine ...
During an April 2 showcase event, Research Track students presented the work they developed over the two quarters. The 12 ...
Scientists say they've made a key breakthrough that would allow robots to figure out complex tasks on their own — but experts ...
Welcome to Eye on AI, with AI reporter Sharon Goldman. In this edition: Top Republican pushes party to shun $300 million AI ...
For centuries, humans looked to seers and astrologers to determine fate. Today, we look to algorithms, and the loss of agency ...
GBH Morning Edition host Mark Herz spoke with MIT computer science professor Marzyeh Ghassemi about AI's use in medicine.
Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...
A new survey finds most employees use AI to build skills quickly and discreetly, despite concerns about accuracy.
Abstract: This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning ...
Protein engineering is a field primed for artificial intelligence research. Each protein is made up of amino acids; to ...
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