Medical Imaging Deep Learning Explained: An Insight into Drug Discovery & Medical Imaging Deep Learning has many uses, however, in this blog we focus on its use for medical imaging, drug discovery and the techniques utilised for both....
Image Analysis Supervised Learning for Food Recognition There are apps that allow users to track their diet and uncover nutritional information. Most of these apps involve typing every food you eat, which can be very tedious. LiveSmart have built a model where users upload photos of their meal and the algorithm can identify the food....
Big Data The Woman Behind the First Black Hole Image Back in 2017 Katie Bouman, PhD student at MIT gave a TED talk on “How To Take a a Picture of a Black Hole.” Yesterday, Katie’s research project came to fruition when...
Deep Learning World Health Day: Is Medical Imaging Transforming Healthcare? The World Health Organization (WHO) are working tirelessly to make universal health coverage a reality. Every individual across the globe deserves access to basic medical care from GP appointments to scanning equipment, medication...
Deep Learning Łukasz Kidziński, Stanford University: Using Deep Learning to Predict the Outcomes of Surgery Recent advancements in artificial intelligence in have led to breakthroughs in healthcare from medical imaging for disease identification, to predictive analytics for health forecasting and predictions. Most recently, Alphabet have studied how deep...
Neural Networks Wearables, Algorithmic Fairness and Image Recognition: What You Missed at the Women in AI Dinner Last night at the Women in AI dinner in London, we brought together leading female minds working in AI to discuss algorithmic fairness, unused local computational opportunities, image recognition and other topics.The...
Deep Learning Women in AI Podcast: Antonia Creswell on Generative Modelling At the Deep Learning Summit in London this September, we had the fantastic opportunity to record 6 episodes of the Women in AI Podcast. We spoke with CEOs, researchers, data scientists and industry...
Deep Learning Twenty Billion Neurons: Building AI That Makes Sense of Video Twenty Billion Neurons unveiled an AI system that automatically understands complex real-world behaviour in video. Trained on hundreds of thousands of dedicated video recordings, it is the first network of its kind to...
Deep Learning Get Your Holiday Snaps Noticed: The Secret to High Ranking Images As the summer holidays draw to an end, you’re probably not the only one wishing you could do it all over again. Whilst the holiday might be over, the memories are there...
Deep Learning Will Doctors Become Obsolete?: AI in Healthcare Often, we only end up in hospital if something’s already wrong with us. But what if we were able to prevent these unpleasant trips by receiving preventative treatment through prior diagnoses. Whilst...
Deep Learning The Next Generation of Machine Intelligence With billions of dollars being invested in AI we're routinely finding these technologies in our everyday lives in smartphones, cars, household appliances, and in our finances. At the Machine Intelligence Summit in Amsterdam...
Deep Learning BOSTON DEEP LEARNING SUMMIT - DAY 1 HIGHLIGHTS As day one of the Deep Learning Summit draws to a close, we're taking a look at some of the highlights. What did we learn, and what did you miss? With over 30...
Machine Learning Fashion DNA: Structural Feature Mapping in the World of Retail Image source: Zalando ResearchWhen applying artificial intelligence to the world of fashion, in which the clothing and other articles involved have many varying individual properties, a meaningful structure must be defined.It seems...
Deep Learning Cloud-based Deep Learning: Reducing Tedium in Radiology Radiology requires countless hours searching for tiny lesions, creating distance and contour annotations, and filling out checklists to determine stages of disease - these tasks are onerous and error-prone, resulting in high costs...
Neural Networks New Approaches to Unsupervised Domain Adaptation The cost of large scale data collection and annotation often makes the application of machine learning algorithms to new tasks or datasets prohibitively expensive. One approach circumventing this cost is training models on...
Deep Learning Addressing the Critical Issues of Deep Learning in Medical Imaging Since being named as one of the top 10 breakthrough technologies of 2013, deep learning has hit the headlines repeatedly, with new applications emerging rapidly. In particular, deep learning techniques have proven to...
Deep Learning Some of my favourite RE•WORK interviews from 2016 It's been another busy year at RE•WORK! We've expanded into new topics including Machine Intelligence, Virtual Assistants, Deep Learning in Healthcare and Deep Learning in Finance, in locations including Singapore, New York...
