AI & RoboticsNews

Salesforce researchers release framework to test NLP model robustness

In the subfield of machine learning known as natural language processing (NLP), robustness testing is the exception rather than the norm. That’s particularly problematic in light of work showing that many NLP models leverage spurious connections that inhibit their performance outside of specific tests. One report found that 60% to 70% of answers given by NLP models were embedded somewhere in the…
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AI & RoboticsNews

Google trained a trillion-parameter AI language model

Parameters are the key to machine learning algorithms. They’re the part of the model that’s learned from historical training data. Generally speaking, in the language domain, the correlation between the number of parameters and sophistication has held up remarkably well. For example, OpenAI’s GPT-3 — one of the largest language models ever trained, at 175 billion parameters — can make…
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AI & RoboticsNews

Dina raises $7 million for its AI-powered at-home care platform

Dina, a Chicago-based startup developing an AI-powered at-home care platform, today announced it has raised $7 million. The company says the capital will be used to expand its products and support its mission to help the health care industry transition to in-home care. In response to the pandemic, companies like Current Health and Twistle have teamed up with Providence and other health care…
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AI & RoboticsNews

Stanford researchers propose AI that figures out how to use real-world objects

One longstanding goal of AI research is to allow robots to meaningfully interact with real-world environments. In a recent paper, researchers at Stanford and Facebook took a step toward this by extracting information related to actions like pushing or pulling objects with movable parts and using it to train an AI model. For example, given a drawer, their model can predict that applying a pulling…
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