AI & RoboticsNews

Uber’s PPLM language model can change the topic and sentiment of AI-generated text

Generative AI language models like OpenAI’s GPT-2 produce impressively coherent and grammatical text, but controlling the attributes of this text — such as the topic or sentiment — requires architecture modification or tailoring to specific data. That’s why a team of scientists at Uber, Caltech, and the Hong Kong University of Science and Technology devised what they call the Plug and Play…
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AI & RoboticsNews

MIT creates an AI that understands the laws of physics intuitively

We often think of artificial intelligence as a tool for automating certain tasks. But it turns out that the technology could also help give us a better understanding of ourselves. At least that’s what a team of researchers at the Massachusetts Institute of Technology (MIT) think they’ll be able to do with their new AI model. Dubbed ADEPT, the system is able to, like a human being…
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AI & RoboticsNews

Researchers develop AI that reads lips from video footage

AI and machine learning algorithms capable of reading lips from videos aren’t anything out of the ordinary, in truth. Back in 2016, researchers from Google and the University of Oxford detailed a system that could annotate video footage with 46.8% accuracy, outperforming a…
AI & RoboticsNews

OpenAI’s Procgen Benchmark prevents AI model overfitting

Where the training of machine learning models is concerned, there’s always a risk of overfitting — or corresponding too closely — to a particular set of data. In point of fact, it’s not infeasible that popular machine learning benchmarks like the Arcade Learning Environment encourage overfitting, in that they have a low emphasis on generalization. That’s why OpenAI — the San…
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AI & RoboticsNews

AI capsule system classifies digits with state-of-the-art accuracy

There’s strong evidence that humans rely on coordinate frames, or reference lines and curves, to suss out the position of points in space. That’s unlike widely-used computer vision algorithms, which differentiate among objects by numerical representations of their characteristics. In pursuit of a more human-like approach, researchers at Google, Alphabet subsidiary DeepMind, and the University…
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