Lex Fridman interviews Sergey Levine in episode 108 of his podcast.

Sergey Levine is a professor at Berkeley and a world-class researcher in deep learning, reinforcement learning, robotics, and computer vision, including the development of algorithms for end-to-end training of neural network policies that combine perception and control, scalable algorithms for inverse reinforcement learning, and deep RL algorithms. This conversation is part of the Artificial Intelligence podcast.

Episode outline:

  • 0:00 – Introduction
  • 3:05 – State-of-the-art robots vs humans
  • 16:13 – Robotics may help us understand intelligence
  • 22:49 – End-to-end learning in robotics
  • 27:01 – Canonical problem in robotics
  • 31:44 – Commonsense reasoning in robotics
  • 34:41 – Can we solve robotics through learning?
  • 44:55 – What is reinforcement learning?
  • 1:06:36 – Tesla Autopilot
  • 1:08:15 – Simulation in reinforcement learning
  • 1:13:46 – Can we learn gravity from data?
  • 1:16:03 – Self-play
  • 1:17:39 – Reward functions
  • 1:27:01 – Bitter lesson by Rich Sutton
  • 1:32:13 – Advice for students interesting in AI
  • 1:33:55 – Meaning of life

It’s the golden era for computer vision, AI, and machine learning – now is a great time to extract value from videos to impact science, society, and business.

Microsoft Rocket‘s goal is to democratize video analytics: build a system for real-time, low-cost, and private analysis of live videos.

In this video, learn how Microsoft’s Live Video Analytics on IoT Edge platform and Microsoft Rocket’s containers can be used in tandem for building highly efficient and accurate, real-world live video analytics applications, such as object detection & counting (e.g., cars driving through an intersection), and alerting on objects of interest (e.g., when a customer enters a store).

Learn more about Microsoft Rocket integration with Live Video Analytics at https://aka.ms/iotshow/rocket

Raleigh, North Carolina, has turned to machine learning to improve mobility and urban planning in the face of a “deluge of data” that the fast-growing capital city has acquired over the last several years, according to city GIS and emerging technology manager James Alberque.

Speaking at an virtual conference hosted this week by the mapping technology company Esri, Alberque said the city of 460,000 has gone from contracting people to sit at intersections and count cars to counting traffic with machine-learning software in real time, supplying policymakers with more accurate data to manage the city’s traffic. The new capability, driven by technology from Esri and the video graphics company Nvidia, spurred the city to deploy an additional 500 traffic cameras on signal poles this year, as well as outfit garbage trucks with cameras to record traffic as they move throughout the city.

Azure Monitor for SAP Solutions is an Azure-native monitoring solution for customers running their SAP landscapes on Azure. 

Syeda Persia Aziz joins Scott Hanselman to show how it collects and consolidates telemetry data from Azure infrastructure and databases at one central location, regardless of the underlying infrastructure (Azure Virtual Machines, Azure Large Instances, or both). 

You can then use this data to correlate telemetry visually between different components for faster troubleshooting.     

Related links:

In this video from Traversy Media you will learn important design principles and what to think about when creating UI/layouts including contrast, typography, whitespace, and more.

Video index:

  • 0:00 – Brad’s Intro
  • 0:58 – Gary’s Intro
  • 2:41 – A look at the first design
  • 6:12 – Header Redesign
  • 18:21 – Hero Section
  • 31:00 – Features Section
  • 38:00 – Testimonials Section
  • 47:58 – Review & Final Thoughts

One of the major benefits of Azure SQL Database is that the Azure platform provides additional protection for your database against SQL Injection attacks and Data Exfiltration, amongst other threats.

Join Joey D’Antoni as he shows you how to configure Advanced Threat Protection, and some of the protections it offers.

Video index:

  • [01:37] What is Advanced Threat Protection?
  • [02:46] Microsoft Azure Configuration
  • [03:36] Advanced Threat Protection types
  • [04:48] Enable auditing
  • [05:19] Tracking alerts

Parallel run in Azure Machine Learning enables big data processing in distributed manner.

In this video, learn more about Azure Machine Learning dataset; how it can help manage your data in machine learning workflow; and how to use dataset in parallel run to accelerate your big data processing.

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POWERful Devs showcase how developers can leverage the Power Platform to build applications faster and with far less effort.

Connect with industry-recognized ProDev influencers, Microsoft Cloud Advocates, trusted and diverse community leaders, and members of the Power Platform Team.