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Kampf gegen Krebs: Dr. Watson enttäuscht Erwartungen | heise online
Der IBM-Supercomputer Watson ist bei der Therapie von Tumorerkrankungen bislang keine echte Hilfe. 2013 vermarktete IBM das hauseigene Watson-Computersystem als innovative Hilfe bei der "Mission, den Krebs auszurotten". via Pocket
IFTTT  Pocket  ai  digitalliteracy  gesundheit  ki  tr 
33 minutes ago by hansdorsch
Artificial intelligence has a racial bias problem. Google is funding summer camps to try to change that |
Artificial intelligence has a racial bias problem. Google is funding summer camps to try to change that
AI  from twitter
1 hour ago by LibrariesVal
Top story: New World Notes: Open Forum: What Are You Doing in this Summer of Virtual Doldrums?…
SL  AI  VR  AR  from twitter
2 hours ago by LibrariesVal
Acrolinx | Create Great Content at Scale
Acrolinx's content optimization software helps the world's greatest brands create great content at scale that's on-brand and on-target.
content  creation  ai  automated  artificial  intellligence 
3 hours ago by kpieper876
Top story: New World Notes: Top 5 New World Notes Posts Last Week: From an AI Teaching an Avatar to…
SL  AR  VR  AI  from twitter
18 hours ago by LibrariesVal
I *really* like the way that frames the opportunity of and the around jobs that are uniq…
nexteconomy  ai  from twitter_favs
yesterday by rukku
ImageNet: image dataset organized according to the WordNet hierarchy
ImageNet is an image database organized according to the WordNet hierarchy (currently only the nouns), in which each node of the hierarchy is depicted by hundreds and thousands of images. Currently we have an average of over five hundred images per node. We hope ImageNet will become a useful resource for researchers, educators, students and all of you who share our passion for pictures.
data  ai  datasets  images  deeplearning  imageprocessing  recognition  opensource 
yesterday by cyberchucktx
astorfi/Deep-Learning-World: Organized Resources for Deep Learning Researchers and Developers
The purpose of this project is to introduce a shortcut to developers and researcher for finding useful resources about Deep Learning.
ai  learning  machine-learning 
yesterday by HighCharisma
Artificial intelligence 'did not miss a single urgent case' • BBC News
Fergus Walsh:
<p>A team at DeepMind, based in London, created an algorithm, or mathematical set of rules, to enable a computer to analyse optical coherence tomography (OCT), a high resolution 3D scan of the back of the eye.

Thousands of scans were used to train the machine how to read the scans. Then, artificial intelligence was pitted against humans. The computer was asked to give a diagnosis in the cases of 1,000 patients whose clinical outcomes were already known.

The same scans were shown to eight clinicians - four leading ophthalmologists and four optometrists. Each was asked to make one of four referrals: urgent, semi-urgent, routine and observation only.

Artificial intelligence performed as well as two of the world's leading retina specialists, with an error rate of only 5.5%. Crucially, the algorithm did not miss a single urgent case.

The results, published in the journal Nature Medicine , were described as "jaw-dropping" by Dr Pearse Keane, consultant ophthalmologist, who is leading the research at Moorfields Eye Hospital.

He told the BBC: "I think this will make most eye specialists gasp because we have shown this algorithm is as good as the world's leading experts in interpreting these scans."

Artificial intelligence was able to identify serious conditions such as wet age-related macular degeneration (AMD), which can lead to blindness unless treated quickly. Dr Keane said the huge number of patients awaiting assessment was a "massive problem".</p>

Contrast this with IBM's Watson, trying to solve cancer and doing badly. This has a better data set, clearer pathways to disease, and is better understood generally. Part of doing well with AI is choosing the correct limits to work within.

And this won't replace the doctors; it will just be a pre-screen.
moorfields  eye  deepmind  ai 
yesterday by charlesarthur

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