Building customer relationships with conversational AI
We’ve all been there. “Please listen to our entire menu as our options have changed. Say or press one for product information…” Sometimes, these automated customer service experiences are effective and efficient—other times, not so much. Many organizations are already using chatbots and virtual...
Source: technologyreview.com
A Convolutional Neural Network architecture for the recognition of cutaneous manifestations of COVID-19
To our best knowledge, this is the first machine learning-based study for automated detection of COVID-19 based on skin images and may provide a useful decision support tool for physicians to optimize contact-free COVID-19 triage, differential diagnosis of skin lesions and patient care. Mathur J, Chouhan...
Source: nih.gov
Google Brings Back Human Moderators for YouTube Content
Google Brings Back Human Moderators for YouTube Content | Digital Trends: More human moderators are going back to work to oversee YouTube content, taking over from automated systems that admittedly took down some videos erroneously. "YouTube revealed in late August that in the three months prior, 11.4...
Source: digitaltrends.com
Kenyans go hi-tech to save endangered Grevy’s zebra: Software analyses ’citizen scientist’ photos to automate census
Kenyans go hi-tech to save endangered Grevy’s zebra: Software analyses ’citizen scientist’ photos to automate census of rare zebra
Source: independent.co.uk
7 Predictions for a Post-Coronavirus World
1. Companies that traffic in digital services and e-commerce will make immediate and lasting gains 2. Remote work will become the default 3. Many jobs will be automated, and the rest will be made remote-capable 4. Telemedicine will become the new normal, signaling an explosion in med-tech innovation...
Source: medium.com
Using artificial intelligence to read chest radiographs for tuberculosis detection: A multi-site evaluation
Using artificial intelligence to read chest radiographs for tuberculosis detection: A multi-site evaluation of the diagnostic accuracy of three deep learning systems: Deep learning (DL) neural networks have only recently been employed to interpret chest radiography (CXR) to screen and triage people for...
Source: nature.com
Could deep learning AI be used to screen TIA clinic referral letters? Possibly.
Could deep learning AI be used to screen TIA clinic referral letters? Possibly. Stroke prevention clinics (TIA or Transient Ischaemic Attack) clinics are an important aspect of urgent care. A TIA is a risk factor for future stroke. Medical treatment needs to be started quickly and surgical options, if...
Source: agnate.co.uk
AI Evidence Mapping. Developing a fully automated evidence synthesis tool for identifying, assessing and collating the evidence.
AI Evidence Mapping. Developing a fully automated evidence synthesis tool for identifying, assessing and collating the evidence. “Here, we describe a fully automated evidence synthesis system for intervention studies, one that identifies all the relevant evidence, assesses the evidence for reliability...
Source: bmj.com
Using 'cooperative perception' between intelligent vehicles to reduce risks | KurzweilAI This is taking the Internet of
Using 'cooperative perception' between intelligent vehicles to reduce risks | KurzweilAI This is taking the Internet of Things idea to its automated driving conclusion. If all vehicles on the road have all the facts then they could optimise the routes and risks. We should try hard to democratise this...
Source: kurzweilai.net
Automated training devices for improving walking after stroke | Cochrane "We found moderate-quality evidence that electromechanical-assisted
Automated training devices for improving walking after stroke | Cochrane "We found moderate-quality evidence that electromechanical-assisted gait training combined with physiotherapy when compared with physiotherapy alone may improve recovery of independent walking in people after stroke."
Source: cochrane.org
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs:
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs: This study assesses the sensitivity and specificity of an algorithm based on deep machine learning for automated detection of diabetic retinopathy and diabetic macular edema in...
Source: jamanetwork.com
Top strategic predictions for 2016 and beyond: the future is a digital thing. The one that caught my attention was: "By
Top strategic predictions for 2016 and beyond: the future is a digital thing. The one that caught my attention was: "By 2018, 20% of all business content will be authored by machines.
... Technologies with the ability to proactively assemble and deliver information through automated composition...
Source: gartner.com
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