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Latest from MIT Tech Review – AI can do a better job of persuading people than we do
Millions of people argue with each other online every day, but remarkably few of them change someone’s mind. New research suggests that large language models (LLMs) might do a better job. The finding suggests that AI could become a powerful tool for persuading people, for better or worse. A multi-university team of researchers found that…
Latest from MIT : Most work is new work, long-term study of U.S. census data shows
This is part 1 of a two-part MIT News feature examining new job creation in the U.S. since 1940, based on new research from Ford Professor of Economics David Autor. Part 2 is available here. In 1900, Orville and Wilbur Wright listed their occupations as “Merchant, bicycle” on the U.S. census form. Three years later,…
Latest from IBM Developer : Identify and remove bias from AI models
Summary How do you remove bias from the machine learning models and ensure that the predictions are fair? How can you adopt responsible AI? How do you build trusted AI? And, what are the three stages in which the bias mitigation solution can be applied? This code pattern answers these questions and more to help…
Latest from MIT Tech Review – The tech industry can’t agree on what open source AI means. That’s a problem.
Suddenly, “open source” is the latest buzzword in AI circles. Meta has pledged to create open-source artificial general intelligence. And Elon Musk is suing OpenAI over its lack of open-source AI models. Meanwhile, a growing number of tech leaders and companies are setting themselves up as open-source champions. But there’s a fundamental problem—no one can…
Latest from MIT Tech Review – An OpenAI spinoff has built an AI model that helps robots learn tasks like humans
In the summer of 2021, OpenAI quietly shuttered its robotics team, announcing that progress was being stifled by a lack of data necessary to train robots in how to move and reason using artificial intelligence. Now three of OpenAI’s early research scientists say the startup they spun off in 2017, called Covariant, has solved that…
Latest from MIT : Demystifying machine-learning systems
Neural networks are sometimes called black boxes because, despite the fact that they can outperform humans on certain tasks, even the researchers who design them often don’t understand how or why they work so well. But if a neural network is used outside the lab, perhaps to classify medical images that could help diagnose heart…