Last year, US banks used real-time machine learning to flag over 90 percent of suspected fraud, yet almost half of chargeback ...
Smart city initiatives are generating vast amounts of data from sensors, cameras, mobile devices, and digital service ...
AI protein function prediction uses machine learning models trained on sequence and structural data to infer protein roles at ...
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Improving AI models' ability to explain their predictions
In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...
Sasha S. Rao and Todd M. Hopfinger of Sterne, Kessler, Goldstein & Fox PLLC discuss challenges in meeting patent law's disclosure requirements for inventions involving artificial intelligence, ...
Artificial intelligence (AI) is transforming the way scientists discover and design new materials. In a specially invited review published in Angewandte Chemie International Edition, Tohoku University ...
Generative AI is transforming how leaders can use unstructured, regulated text to generate actionable insights. To illustrate this, researchers fine-tuned a GPT to analyze 10-K business descriptions ...
To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...
Researchers develop TweetyBERT, an AI model that automatically decodes canary songs to help neuroscientists understand the neural basis of speech.
These new models are specially trained to recognize when an LLM is potentially going off the rails. If they don’t like how an interaction is going, they have the power to stop it. Of course, every ...
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