Identifying Political Bias in AI
Findings suggest that no dataset is completely objective, even those carefully curated to be used as objectivity benchmarks.
Sandrine Ceurstemont
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Controlling AI’s Growing Energy Needs
Lower-energy options are being sought to reduce the energy footprint of AI training.
Nobel Laureates Consider the State of Quantum Computing
Most experts are reluctant to predict when a large-scale quantum computer will be commercialized.
Training Neural Networks to Grok
“This phenomenon is very counterintuitive in terms of how we classically think of neural network training."
Brain-computer interfaces can help the paralyzed to make things move, but what happens when employers obtain the resulting brain data?
Forget the Catastrophic Forgetting
Researchers are working to counteract catastrophic forgetting by AI systems when they are trained for new tasks.
Do You Think the Chatbot Likes Me?
Artificial intelligence chatbots increasingly are being given distinct personalities, to increase the appeal of interacting with them.
Bigger, Not Necessarily Better
The inverse scaling issue means larger LLMs sometimes handle things less well.
Seeking to explain the unanticipated abilities of large language models.
Laureates Look Past the Hype in Generative AI
When ChatGPT was released less than a year ago, it seemed to mark a turning point for artificial intelligence (AI). The chatbot created by OpenAI made headlines due to its sophisticated and human-like text conversations made possible by generative AI—algorithms that learn patterns from the data on which they are trained to produce output with […]
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