Dawn of a New Era in Machine Learning

Original Source Here Dawn of a New Era in Machine Learning A food for your thoughts — Machine learning on dynamic and high frequency datasets Photo by Andrea De Santis on Unsplash Recently, I came across an inquiry by a telecom giant having several TV channels. The client wanted us to develop a machine learningContinue reading “Dawn of a New Era in Machine Learning”

Implementing Deep Convolutional Neural Networks in C without External Libraries

https://miro.medium.com/max/1200/0*UZsgfT1QMbJnm74H Original Source Here Implementation in C We apply FSRCNN on the Y component of the YUV420 video. Since the HVS has less sensitivity on U and V, these components could be upsampled using simpler interpolation algorithms like Bicubic. Hence in this post, we focus on implementing CNN on C, for upsampling U and VContinue reading “Implementing Deep Convolutional Neural Networks in C without External Libraries”

UN calls for ‘urgent’ action over AI’s risk to human rights

Original Source Here The United Nations’ (UN) head of human rights has called for all member states to put a moratorium on the sale and use of artificial intelligence systems. UN high commissioner for human rights Michelle Bachelet acknowledged that AI can be a “force for good” but that it could also have “negative, evenContinue reading “UN calls for ‘urgent’ action over AI’s risk to human rights”

Longtime VC, and happy Miami resident, David Blumberg has raised a new $225 million fund

Original Source Here Blumberg Capital, founded in 1991 by investor David Blumberg, has just closed its fifth early-stage venture fund with $225 million, a vehicle that Blumberg says was oversubscribed — he planned to raise $200 million — and that has already been used to invest in 16 startups around the world (the firm hasContinue reading “Longtime VC, and happy Miami resident, David Blumberg has raised a new $225 million fund”

AI Weekly: UN proposes moratorium on ‘risky’ AI while ICLR solicits blog posts

https://venturebeat.com/wp-content/uploads/2020/08/data-1.jpg?w=1200&strip=all Original Source Here The Transform Technology Summits start October 13th with Low-Code/No Code: Enabling Enterprise Agility. Register now! UN High Commissioner for Human Rights Michelle Bachelet this week called for a moratorium on the sale and use of AI systems that pose “a serious risk to human rights.” Bachelet said adequate safeguards must beContinue reading “AI Weekly: UN proposes moratorium on ‘risky’ AI while ICLR solicits blog posts”

Train fraudulent payment detection with Amazon SageMaker

Original Source Here The ability to detect fraudulent card payments is becoming increasingly important as the world moves towards a cashless society. For decades, banks have relied on building complex mathematical models to predict whether a given card payment transaction is likely to be fraudulent or not. These models must be both accurate and precise—theyContinue reading “Train fraudulent payment detection with Amazon SageMaker”

Perform interactive data engineering and data science workflows from Amazon SageMaker Studio notebooks

Original Source Here Amazon SageMaker Studio is the first fully integrated development environment (IDE) for machine learning (ML). With a single click, data scientists and developers can quickly spin up Studio notebooks to explore and prepare datasets to build, train, and deploy ML models in a single pane of glass. We’re excited to announce aContinue reading “Perform interactive data engineering and data science workflows from Amazon SageMaker Studio notebooks”

Deep Neural Networks vs. Gaussian Processes: Similarities, Differences, and Trade-Offs

https://miro.medium.com/max/1200/0*RtSY4humlxhjrCA2 Original Source Here Deep Neural Networks and Gaussian Processes: Similarities, Differences, and Trade-Offs Photo by Uriel SC on Unsplash Motivation: Comparing State-of-the-Art Deep Neural Networks (DNNs) and Gaussian Processes (GPs)* are two highly expressive classes of supervised learning algorithms. A natural question that comes up when considering the applications of these methodologies: “When andContinue reading “Deep Neural Networks vs. Gaussian Processes: Similarities, Differences, and Trade-Offs”