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We are interested in discover how machine learning and AI will affect our lives, which directions can lead and which new possibilities can be developed. We are running a moderated content aggregator using RSS feeds from different sources through a WordPress plugin.

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Google and USCF collaborate on machine learning tool to help prevent harmful prescription errors

Machine learning experts working at Google Health have published a new study in tandem with the University of California San Francisco’s (UCSF) computational ...

Extract Data from Website to Excel Automatically

To extract data from websites, you can take advantage of data extraction tools like Octoparse. These tools can pull data from websites automatically and save ...

New Probabilistic Approach to Factoring Big Numbers

Product of two large primes are at the core of many encryption algorithms, as factoring the product is very hard for numbers with a few hundred digits. The ...

5 Things to Consider Before Getting Started as a Developer in AI

Such technology as AI existed for years yet experienced a significant popularity boost just a few years ago. Today, it’s far from being a futuristic ...

KDnuggets™ News 20:n21, May 27: The Best NLP with Deep Learning Course is Free; Your First Machine Learning Web App Previous post    &; ...

Xilinx launches a new reconfigurable space-grade chip optimized for local machine learning on orbit

Space-specific silicon company Xilinx has developed a new processor for in-space and satellite applications that records a number of firsts: It’s the first ...

Microsoft launches new tools for building fairer machine learning models

At its Build developer conference, Microsoft today put a strong emphasis on machine learning. But in addition to plenty of new tools and features, the company ...

Microsoft launches Project Bonsai, its new machine teaching service for building autonomous systems

At its Build developer conference, Microsoft today announced that Project Bonsai, its new machine teaching service, is now in public preview. If that name ...

Understanding How SQL is Used in Data Science

In the blog about ‘Is SQL Needed to be a Data Scientist?‘, we have discussed the importance of SQL and basics of how knowledge of SQL helps with a ...

KISS – Complex DNN Techniques are Not the Improvements They’re Reported to Be

Summary: In a comprehensive study of 18 recently presented DNN advancements in top-N recommenders, only 7 presented sufficient data to allow reproduction. ...

AI and Data Science Adoption Survey

Experts agree, the global AI, data science and big data markets are poised for significant growth over the next 5 year period. On behalf of Data Science ...

Tailored for Real-World: A Whole Slide Image Classification System Validated on Uncurated Multi-Site Data Emulating the Prospective Pathology Workload

Abstract Standard of care diagnostic procedure for suspected skin cancer is microscopic examination of hematoxylin & eosin stained tissue by a. ...

AI is more data-hungry than ever, and DefinedCrowd raises $50M B round to feed it

As AI has grown from niche to mission-critical technology, the companies that enable it have multiplied and in many cases prospered. A good example of that ...

Extending the Spectrum of Dysgraphia: A Data Driven Strategy to Estimate Handwriting Quality

Abstract This paper proposes new ways to assess handwriting, a critical skill in any childaEUR(TM)s school journey. Traditionally, a pen and paper test called ...

Impact of a deep learning assistant on the histopathologic classification of liver cancer

Abstract Artificial intelligence (AI) algorithms continue to rival human performance on a variety of clinical tasks, while their actual impact on human ...

Disturbance in human gut microbiota networks by parasites and its implications in the incidence of depression

Abstract If you think you are in control of your behavior, think again. Evidence suggests that behavioral modifications, as development and persistence of ...

What they do not tell you about machine learning Previous post Next post =>    Tags: Advice, Career, Machine Learning, SQL There’ ...

A machine learning-based test for adult sleep apnoea screening at home using oximetry and airflow

Abstract The most appropriate physiological signals to develop simplified as well as accurate screening tests for obstructive sleep apnoea (OSA) remain. ...

Application of random forest based approaches to surface-enhanced Raman scattering data

Abstract Surface-enhanced Raman scattering (SERS) is a valuable analytical technique for the analysis of biological samples. However, due to the nature of ...

Artificial Intelligence and Machine learning based prediction of resistant and susceptible mutations in Mycobacterium tuberculosis

Abstract Tuberculosis (TB), an infectious disease caused by Mycobacterium tuberculosis (M.tb), causes highest number of deaths globally for any bacterial ...

Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging

Abstract Using medical images to evaluate disease severity and change over time is a routine and important task in clinical decision making. Grading systems ...

Google Unveils TAPAS, a BERT-Based Neural Network for Querying Tables Using Natural Language Previous post    Tags: BERT, Convolutional ...

Convolutional neural network for classification of two-dimensional array images generated from clinical information may support diagnosis of rheumatoid arthritis

Abstract This research aimed to study the application of deep learning to the diagnosis of rheumatoid arthritis (RA). Definite criteria or direct markers for ...

Automated Quantification of Photoreceptor alteration in macular disease using Optical Coherence Tomography and Deep Learning

Abstract Diabetic macular edema (DME) and retina vein occlusion (RVO) are macular diseases in which central photoreceptors are affected due to pathological ...

Why and How Deep Learning is Changing Your Daily Lives

Deep Learning is a major branch of Machine Learning we have heard so much about.With or without our knowledge, deep learning is strategically influencing our ...

Artificial Intelligence in Multiphoton Tomography: Atopic Dermatitis Diagnosis

Abstract The diagnostic possibilities of multiphoton tomography (MPT) in dermatology have already been demonstrated. Nevertheless, the analysis of MPT data is ...

Meet the European startups that pitched at EF’s 13th (and first virtual) Demo Day

Entrepreneur First (EF), the the London-headquartered company builder and “talent first” investor, unveiled its latest cohort of “deep tech” companies in a ...

An Automated Segmentation Pipeline for Intratumoural Regions in Animal Xenografts Using Machine Learning and Saturation Transfer MRI

Abstract Saturation transfer MRI can be useful in the characterization of different tumour types. It is sensitive to tumour metabolism, microstructure, and ...

Single-cell analysis of childhood leukemia reveals a link between developmental states and ribosomal protein expression as a source of intra-individual heterogeneity

Abstract Childhood acute lymphoblastic leukemia (cALL) is the most common pediatric cancer. It is characterized by bone marrow lymphoid precursors that ...

Application of combinatorial optimization strategies in synthetic biology

Abstract In the first wave of synthetic biology, genetic elements, combined into simple circuits, are used to control individual cellular functions. In the ...

Five Core Virtues For Data Science And Artificial Intelligence

Virtues should be digitized. As we speed toward reliance on machines to process more and more information and provide cognitive support for all types of ...

A shallow convolutional neural network predicts prognosis of lung cancer patients in multi-institutional computed tomography image datasets

Abstract Lung cancer is the most common fatal malignancy in adults worldwide, and non-small-cell lung cancer (NSCLC) accounts for 85% of lung cancer. ...

Predicting conversion to wet age-related macular degeneration using deep learning

Abstract Progression to exudative aEUR~wetaEUR(TM) age-related macular degeneration (exAMD) is a major cause of visual deterioration. In patients diagnosed ...

Automated Machine Learning: The Free eBook Previous post Next post =>    Tags: Automated Machine Learning, AutoML, Free ebook, Machine ...

Direct steering of de novo molecular generation with descriptor conditional recurrent neural networks

Abstract Deep learning has acquired considerable momentum over the past couple of years in the domain of de novo drug design. Here, we propose a simple ...

Evidence Counterfactuals for explaining predictive models on Big Data Previous post Next post =>    Tags: Big Data, Explainability, ...

Top Stories, May 11-17: Start Your Machine Learning Career in Quarantine; AI and Machine Learning for Healthcare Previous post Next post =>    &; ...

Machine Learning at the Edge

Edge computing moves workloads from centralized locations to remote locations and it can provide faster response from AI applications. Edge computing devices ...