Researchers achieve 94% power reduction for on-device AI tasks

Researchers from Applied Brain Research (ABR) have achieved significantly reduced power consumption for a range of AI-powered devices.

ABR designed a new neural network called the Legendre Memory Unit (LMU). With LMU, on-device AI tasks – such as those on speech-enabled devices like wearables, smartphones, and smart speakers – can take up to 94 percent less power.

The reduction in power consumption achieved through LMU will be particularly beneficial to smaller...

17 September 2020 | Neural Network

Esteemed consortium launch AI natural language processing benchmark

facebook google deepmind nlp consortium ai artificial intelligence natural language processing

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...

15 August 2019 | Facebook

Google details Project Euphonia work to improve voice recognition inclusivity

google project euphonia als voice speech recognition ai artificial intelligence

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...

14 August 2019 | Google