While jobs may be few and far between amid the ongoing economic downturn, some companies have leveled up their hiring to fill various positions in emerging technologies.

Top of this list is computer vision, which has emerged as one of the most promising technologies today.

Triggered by newer applications amid the Covid-19 pandemic, the potential of this technology has expanded within a very short space of time. This has given rise to numerous virtual conferences in recent times that explore the depth and breadth of this technology. To be held on August 13 and 14, Computer Vision DEVCON is one such conference that brings together practitioners and enthusiasts of computer vision on one platform.

Join Dona and Sarah in this episode of Less Code More Power where they are joined by the amazing Kelsey Bloomquist.

Kelsey has been working in Business Applications for over 10 years and she is currently working with Independent Solution Vendors (ISVs) on the Power Platform. Kelsey not only joins us to share some amazing treats – she shows us the power of PCF – Power Apps Component Framework and how to get started

To learn more, visit: https://aka.ms/LessCodeMorePowerDocs

There have been quite a few successful attempts to create robotic air hockey opponents, but Andrew Khorkin has dedicated himself to a much harder task.

He’s managed to build a robot that can not only play table hockey, but one that can slap the puck into the net from almost anywhere on the board with incredible accuracy.

Table hockey is, by comparison, magnitudes more complex. The puck doesn’t glide as easily, and all the moving figures serve as obstacles, complicating its path and trajectory. Scoring is also a major challenge, as it requires the figures to spin their miniature sticks around with enough speed and force at the right time to send the puck hurdling toward the net. That’s why it’s taken Khorkin about 18 months to get to this point, but his work is impressive.

deeplizard shows us how to add batch normalization to a convolutional neural network.

Content index:

  • 00:00 Welcome to DEEPLIZARD – Go to deeplizard.com for learning resources
  • 00:30 What is Batch Norm?
  • 04:04 Creating Two CNNs Using nn.Sequential
  • 09:42 Preparing the Training Set
  • 10:45 Injecting Networks Into Our Testing Framework
  • 14:55 Running the Tests – BatchNorm vs. NoBatchNorm
  • 16:30 Dealing with Error Caused by TensorBoard
  • 19:49 Collective Intelligence and the DEEPLIZARD HIVEMIND

Here’s a great session on Azure RTOS

Azure RTOS is a small, fast, reliable, and easy-to-use real-time operating system. In this video introduction, we’ll discuss the major components that make up the Azure RTOS ecosystem: the ThreadX RTOS, NetX TCP/IP stack, FileX embedded file system, GUIX embedded GUI, and USBX embedded USB stack. We’ll also cover some tools to make development easier, such as GUIX Studio (a WYSIWYG GUI designer that auto-generates C code to run on embedded devices) and TraceX (an event trace tool that feels like a software logic analyzer).

Guest Speaker: Scott Larson – Azure IoT Senior Engineer
Deep Dive Host: Pamela Cortez – Azure IoT