recent posts:

›   Researchers train robotic sensor to read braille at high speed

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›   Deep learning model trained to identify least green homes

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›   UK needs AI legislation to create trust so companies can ‘plug AI into British economy’ – report

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›   Researching more data efficient machine learning models

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›   How sure is sure? Incorporating human error into machine learning

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›   Studying AI recruitment tools: race, gender, and AI’s “eradication of difference”

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›   Using machine learning to improve all-in-one miniature spectrometers

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›   Algorithm learns to correct 3D printing errors for different parts, materials and systems

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›   Using AI to tackle the challenge of materials structure prediction

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›   Trainee teachers made sharper assessments about learning difficulties after receiving feedback from AI

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›   Considering the risks of using AI to help grow our food

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›   Use of AI to fight COVID-19 risks harming “disadvantaged groups”, experts warn

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›   Artificial intelligence could be used to triage patients suspected at risk of early stage oesophageal cancer

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›   Computer vision app allows easier monitoring of glucose levels

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›   Opportunities for machine learning use in cystic fibrosis care

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›   How machine learning can help to future-proof clinical trials in the era of COVID-19

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›   AI shows how hydrogen becomes a metal inside giant planets

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›   Context-aware sentence retrieval method reduces ‘communication gap’ for nonverbal people

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›   Using machine learning to identify different types of brain injuries

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›   AI techniques used to improve battery health and safety

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