Challenges in training algorithms for autonomous cars
In my earlier article, we talked about the usage of machine learning algorithms in autonomous cars. Obviously, the process of training algorithms for autonomous cars, learning and implementation of machine learning is not without a huge set…
Machine Learning Algorithms in Autonomous Driving
Autonomous driving represents one of the most ambitious applications of machine learning in the industrial world, requiring real-time decision-making across perception, planning, and control systems. In this guide, IIoT World breaks down the core ML algorithms…
What makes a good construction drone and how to avoid common buying mistakes
Whether you are buying your first drone, or looking to grow your current fleet, we outline 5 steps to purchasing a construction drone, and then provide you with our top 5 drone recommendations for the construction industry.The…
Auto industry partnerships seize the day at CES 2018
You would have been forgiven for thinking that this year’s Consumer Electronics Show (CES 2018) was actually an auto show. There were electric cars, semi-autonomous cars, cars with built-in Amazon Alexa, full-blown autonomous cars, cars with…
Selection criteria for a self-driving industrial vehicle vendor
Manufacturers are increasingly turning to automation to solve their materials handling challenges. But as many are realizing, not all self-driving industrial vehicle companies are alike. The various robotic solutions on the market have vastly different degrees…
Why use RBF Learning rather than Deep Learning in an industrial environment
One of today’s most overused buzzword is “Artificial Intelligence”. Both technical and general press is full of articles talking about machines that drive autonomous cars and invent new languages. Many also talk about intelligent machines being…
If AI has the power to transform all industries, why hasn’t it?
There is a ton of noise about AI for industry today. A quick search on Google for “Artificial Intelligence” returned 82M results and almost 4M news stories. Bloomberg reported in June that mentions of AI in…
Five challenges in designing a fully autonomous system for driverless cars
Driverless cars – the concept has made a lot of hype over past eight to ten years. Though a lot has been going on this subject for as early as fifty years ago, studies have been…
Machine Learning Challenges in the implementation of Industrial Internet of Things
We are living in the era of 4th Industrial revolution – the evolution which is based on extreme automation of machine to machine communication, not only just the communication but way beyond. Machines can understand each…
Industrial Robots Gone Rogue: Staying Ahead of Robot Cybersecurity Vulnerabilities
If you’re following industrial cyber security trends you know that industrial networks, endpoints and control systems typically have inherent weaknesses that make them insecure and vulnerable to compromise through digital methods. With 5.6 million newly connected…
5 Ways Drones Are Transforming Earthworks Projects
Drones have quickly become one of the most versatile tools on the construction site. Whether it’s for documentation before pouring concrete, making pre-design processes more efficient, or speeding up data collection for infrastructure projects, drones have…
CEO Insights: We’re entering a “Golden Age” as it relates to the field of robotics
As part of the CEO Insights Series, IIoT World’s Managing Editor, Lucian Fogoros, interviews Ben Wolff, Chairman, Chief Executive Officer & Director of Sarcos, about industrial robots.Lucian Fogoros: The number of industrial robots deployed worldwide will increase…