Federated Learning An Introduction to Federated Learning An introduction to Federated Learning, including how it works, the advantages and disadvantages, as well as it's future potential. Also included are links to other resources and video tools....
Enterprise Software What is AI Assurance? It is essential that trust is built into the deployment and development of AI systems. With the prevalence of AI's role in almost every area of society, trust and robustness are more important now than ever for the deployment of AI at scale....
Big Data How Ready is your Data for AI? Artificial intelligence (AI) is a major driver of value for the enterprise. According to a recent AI study from IBM, 82 percent of organizations are now at least considering AI adoption, and the...
Open Data Managing and Deploying Machine Learning Models Moving models from science, where they are trained on historical data, and into productions operations for inferencing on new data requires the integration of people, business processes and technologies....
Big Data Interview with Wilson Pang, CTO at Appen Being able to find and use high-quality AI data has always been difficult for data scientists. AI requires large amounts of data sets and this can be both time consuming and costly. One...
Deep Learning Interview with Matt Cowell, CEO at QuantHub Recruiting the right talent to fit your company has always been difficult and it is no easier within the data science field. The use of AI in recruitment has increased significantly, in an...
Deep Learning Interview with Andy Watson, CTO at WekaIO At the upcoming Deep Learning Summit in San Francisco on 24 & 25 January 2019, WekaIO will be exhibiting their latest file system for AI, machine learning and technical computing workloads. The solution...
Neural Networks The Shared History and Vision Behind the MIT-IBM Watson AI Lab Artificial Intelligence (AI), perhaps more than any human invention before it, holds the potential to reshape our world. In just the last few years, we have seen a new explosion of AI development,...
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...
Big Data Earth Day 2017: Tackling Climate Science With Deep Learning Climate change is one of the most important problems facing humanity in the 21st century. By using simulations, scientists can provide us with a unique opportunity to understand the evolution of the climate...
Machine Learning Simulating Financial Markets On Deep Learning Models An autoencoder is an artificial neural network where output units are directly connected back to input units, and is often used for unsupervised learning of efficient codings.In finance, autoencoders and other deep...
Big Data Deep Learning for AI: Takeaways from Yoshua Bengio At the Deep Learning Summit, Boston 2016, Yoshua Bengio took us through the evolution of Artificial Intelligence (AI) - how it started with supervised learning, its progression to Machine Learning with speech recognition...
Big Data Music Discovery at Pandora Finding the music of the moment can often be a challenging problem, even for humans with well-versed musical tastes. These challenges further explode into a myriad of complexities when attempting to construct algorithmic...
Big Data Got Data? Build a Better Bot with Analytics "The role of analytics in chatbots will differ from traditional web and mobile analytics."Arte Merritt, Co-Founder & CEO at Dashbot.io will be presenting at the Virtual Assistant Summit in San Francisco,...
Deep Learning The World's First Cognition Platform to Power the Future of AI "The final missing piece in AI is Visual Cognition and Understanding. In order for this dream to be realized, it takes more than winning scores at classifying ImageNet."At the Deep Learning Summit...
Big Data Coming Soon: Data Science for IoT at Oxford University Responding to the global talent drought of data scientists, Oxford University’s CPD Centre launches its new course Data Science for the Internet of Things (IoT) in January 2017.“Connected devices and the...
Big Data Interview: Beena Ammanath, VP of Data & Analytics at GE We interview leading women in STEM to learn more about how we can all work to make science and technology industries more inclusive. How can more women be encouraged to work in these...
