"Artificial intelligence learned how to generate text and art better than ever before, while computer scientists developed algorithms that solved long-standing problems." Links to further papers and discussion on topics including: Tackling "P versus NP" Emergent behaviours in large language models...
Source: quantamagazine.org
A new generation of artificial intelligence-based information access systems, which includes Microsoft’s Bing/ChatGPT, Google/Bard and Meta/LLaMA, is upending the traditional search engine mode of search input and output. These systems are able to take full sentences and even paragraphs as input and...
Source: ampproject.org
Israeli tech firm NSO denies media reports that its software has been sold to authoritarian regimes. The Android and iOS spyware can apparently see photographs and contacts, log everything that is typed, and turn on the camera and microphone.
Source: bbc.com
MyHeritage have used the same AI technology behind deep fakes to analyse old photographs and link them to movements from a number of videos of other moving faces. Bring your ancestors back to life.
Source: myheritage.com
"We don’t know. That part is easy. Also easy is that case numbers really are falling — it’s not just reduced testing — and it’s happening pretty much everywhere. Urban areas and rural. Red states and blue. Places with broad vaccine rollouts and those with hardly any. North and South America,...
Source: jwatch.org
This 3.2 gigapixel cauliflower is the largest photograph ever taken: To test the sensors in the largest digital camera ever built, scientists at the SLAC National Accelerator Laboratory focused in on a Romanesco cauliflower, producing one of the biggest digital photographs ever taken
Source: newscientist.com
"Guide To Using Reverse Image Search For Investigations - bellingcat: Reverse image search is one of the most well-known and easiest digital investigative techniques, with two-click functionality of choosing “Search Google for image” in many web browsers. This method has also seen widespread use...
Source: bellingcat.com
In a multicenter study, radiologists had better performance with deep convolutional network software for the detection of malignant pulmonary nodules on chest radiographs than without. Deep Convolutional Neural Network-based Software Improves Radiologist Detection of Malignant Lung Nodules on Chest Radiographs....
Source: rsna.org
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
Induced subgraphs of hypercubes and a proof of the Sensitivity Conjecture: In this paper, we show that every (2^{n-1}+1)-vertex induced subgraph of
the n-dimensional cube graph has maximum degree at least sqrt{n}. This
result is best possible, and improves a logarithmic lower bound shown by Chung,
Füredi,...
Source: arxiv.org
Virtually Inspired: Showcasing Online Learning Innovation "From holographs and educational games, to drones and robots, 21st century educators are forging new and amazing trails in technology-enhanced teaching and learning. Virtually Inspired is a place where educators can come for inspiration by perusing...
Source: virtuallyinspired.org
Excellent tone in the opening paragraphs of Wing Commander Ed Nicol's editorial (RCP's Clinical Medicine July 2017). "we must continue to point out to ministers and those who control our purse strings, this [response to terror incidents] is how we aim to respond to all our patients"
Source: rcpjournal.org
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
Machine Learning Detects Diabetic Retinopathy with High Accuracy: By Joe Elia
Edited by David G. Fairchild, MD, MPH, and Lorenzo Di Francesco, MD, FACP, FHM
A computer algorithm, based on "deep machine learning," evaluated retinal fundus photographs for … NEJM Journal Watch.
Source: jwatch.org