Predicting students’ academic progress and related attributes in first-year medical students: an analysis with artificial
"Background Dropout and poor academic performance are persistent problems in medical schools in emerging economies. Identifying at-risk students early and knowing the factors that contribute to their success would be useful for designing educational interventions. Educational Data Mining (EDM) methods...
Source: biomedcentral.com
Discovery of a structural class of antibiotics with explainable deep learning.
One of the challenges with deep learning (neural networks) is that although they find patterns the reasoning disappears into an endless detail of numbers. In this paper the researchers built an 'explainable' AI to discover antibiotics instead of such a 'black box'. "The discovery of novel structural...
Source: nature.com
Using GPT-2 to generate Tweets
Last summer I blogged about using a Deep Neural Network to generate tweets but only used 3200 of my tweets. Since then I've used Twitter's archive mechanism to retrieve ALL my tweets (just over 30,000) to train a network. Not any old network - the GPT-2 model from OpenAI. This 'finetuning' of an existing...
A Novel Convolutional Neural Network for the Diagnosis and Classification of Rosacea: Usability Study - PubMed JMIR medical
The findings of our study showed that by assessing clinical images, the CNN system in our study could identify rosacea with accuracy and precision comparable to that of an experienced dermatologist.
Source: nih.gov
Multimodal Neurons in Artificial Neural Networks
We’ve discovered neurons in CLIP that respond to the same concept whether presented literally, symbolically, or conceptually.
Source: openai.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
Phrase of the day: Scaling Kubernetes to 7,500 Nodes
Scaling Kubernetes to 7,500 Nodes: We've scaled Kubernetes clusters to 7,500 nodes, producing a scalable infrastructure for large models like GPT-3, CLIP, and DALL·E, but also for rapid small-scale iterative research such as Scaling Laws for Neural Language Models. Scaling a single Kubernetes cluster...
Source: openai.com
Introducing Open-AI's DALL-E.
Ever wondered what an armchair in the shape of an avocado might look like? Introducing Open-AI's DALL-E.
Does this help with accessibility by explaining things in pictures from written words? Does it risk replacing humans in the creative industry with machines?
"DALL·E: Creating Images from...
Source: openai.com
11 TOPS photonic convolutional accelerator for optical neural networks: Convolutional neural networks, inspired by biological
11 TOPS photonic convolutional accelerator for optical neural networks: Convolutional neural networks, inspired by biological visual cortex systems, are a powerful category of artificial neural networks that can extract the hierarchical features of raw data to provide greatly reduced parametric complexity...
Source: nature.com
My next Tweet could be generated by a deep-learning neural network.
My next tweet could be generated by a deep-learning neural network. I've been training one. Would anyone notice the difference? Could I just hand over tweeting to my machine? Method: downloaded the last 3200 Tweets that I posted using allmytweets.netpruned the dates off and removed the RTs by using some...
Source: agnate.co.uk
Solving Rubik
Solving Rubik’s Cube with a Robot Hand: We've trained a pair of neural networks to solve the Rubik’s Cube with a human-like robot hand. Instead of thinking too much about the complex algorithms to solve the task they instead focus on creating complex worlds where the machine can learn. This of course...
Source: openai.com
Artificial intelligence yields new antibiotic
Artificial intelligence yields new antibiotic: A deep-learning model identifies a powerful new drug that can kill many species of antibiotic-resistant bacteria.
“The idea of using predictive computer models for “in silico” screening is not new, but until now, these models were not sufficiently...
Source: mit.edu
AI helps to improve radiologist performance.
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
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
Smart Identification of Psoriasis by Images Using Convolutional Neural Networks: A Case Study in China. - PubMed - NCBI
Smart Identification of Psoriasis by Images Using Convolutional Neural Networks: A Case Study in China. - PubMed - NCBI
Source: nih.gov
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
Robust Neural Machine Translation: In recent years, neural machine translation (NMT) using Transformer models has experienced
Robust Neural Machine Translation: In recent years, neural machine translation (NMT) using Transformer models has experienced tremendous success. Based on deep neural networks, NMT models are usually trained end-to-end on very large parallel corpora (input/output text pairs) in an entirely data-driven...
Source: googleblog.com
Intel’s Neuromorphic System Hits 8 Million Neurons, 100 Million Coming by 2020: The 64-chip Pohoiki Beach system is used
Intel’s Neuromorphic System Hits 8 Million Neurons, 100 Million Coming by 2020: The 64-chip Pohoiki Beach system is used by researchers to make systems that learn and see the world more like humans. "At the DARPA Electronics Resurgence Initiative Summit today in Detroit, Intel plans to unveil an 8-million-neuron...
Source: ieee.org
Build Your Own Google Neural Synthesizer - IEEE Spectrum
Build Your Own Google Neural Synthesizer - IEEE Spectrum
Source: ieee.org
Nvidia AI Turns Regular Video Into 240fps High-Speed Video - ExtremeTech: Nvidia accomplished this feat with an array of
Nvidia AI Turns Regular Video Into 240fps High-Speed Video - ExtremeTech: Nvidia accomplished this feat with an array of GPUs and a neural network.
Source: extremetech.com
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