Abstract: For humans it is quite easy to identify a new object after learning to identify existing ones, but not for a machine. Deep neural networks (DNN) are the foundation of the current ...

This week, Sandow Design Group announced the acquisition of Canadian architecture and design magazine Azure. The purchase will see the title join a host of design-related publications in SDG’s ...

Welcome to the MAIT repository! This pipeline, implemented in Python, is designed to streamline your machine learning workflows using Jupyter Notebooks. It is compatible with both Windows and Linux ...

Leave it to Valve to announce some new hardware out of left field that quietly one-ups its competition, except for maybe Nintendo. If anything, Nintendo might be an inspiration for the PC czar and its ...

Valve announced the Steam Machine today alongside a new Steam Frame VR headset and a new Steam Controller. Following up on the success of its Steam Deck, Valve is clearly attempting to bridge the ...

Abstract: Using machine learning applied to multimodal physiological data allows the classification of cognitive workload (low, moderate, or high load) during task performance. However, current ...

From the Dean's Desk welcomes guest author Melissa Kaufman, EdD, Associate Dean for Education at Drexel University's Dornsife School of Public Health Universal Design for Learning (UDL) is "a ...

Despite the title of this article, this is not a DP-100 exam braindump. I do not believe in cheating. Memorizing real exam questions provides no professional value. This is not a DP-100 certification ...

Ashford Analytics is a data company started by Adam Ashford and it is valued at over forty million dollars. After founding the Ashford Trust Adam became the company chairman and lead technologist.

To begin the process, it’s necessary to have an Azure account with an active subscription and an existing Azure Virtual Machine. By default, Azure assigns a dynamic private IP address to VMs, allowing ...

More aggressive feature scaling and increasingly complex transistor structures are driving a steady increase in process complexity, increasing the risk that a specified pattern may not be ...

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...