Esteemed consortium launch AI natural language processing benchmark

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A research consortium featuring some of the greatest minds in AI are launching a benchmark to measure natural language processing (NLP) abilities.

The consortium includes Google DeepMind, Facebook AI, New York University, and the University of Washington. Each of the consortium’s members believe a more comprehensive benchmark is needed for NLP than current solutions.

The result is a benchmarking platform called SuperGLUE which replaces an older platform called GLUE...

Google details Project Euphonia work to improve voice recognition inclusivity

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Google has provided details of its Project Euphonia work designed to improve the inclusivity of voice recognition for people with disabilities that impair their speech.

Degenerative diseases like amyotrophic lateral sclerosis (ALS) are known for causing speech impairments. Today's voice recognition systems often cannot recognise the speech of individuals suffering from such diseases, despite those individuals arguably set to benefit the most from the automation offered by the...

Speech and facial recognition combine to boost AI emotion detection

Researchers have combined speech and facial recognition data to improve the emotion detection abilities of AIs.

The ability to recognise emotions is a longstanding goal of AI researchers. Accurate recognition enables things such as detecting tiredness at the wheel, anger which could lead to a crime being committed, or perhaps even signs of sadness/depression at suicide hotspots.

Nuances in how people speak and move their facial muscles to express moods have presented a...