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NEWS FLASH

Ok people we be making some changes to Automation Junkie, the website, the newsletter, to our bathroom habits, all kinds of changes! That's why we've been a little quiet for the past couple of weeks. Don't fret...we'll be filling up your automation cup with all kinds of nonsense news. 

The journey of a thousand miles begins with one step... unless you're a robot then it starts with a software update and a full charge!

📣 For Your Reading Pleasure 📣

• Boxed your way to bankruptcy

• Nvidia will take over the world

• Tech of the Day: GPUs....and why you need one

Todays Newsletter Brought To You By

Well, let me tell you something, people, these guys are the real deal! You know what they say, "it's not the size of your storage, it's how you use it", and Vidir knows how to use it!

They've got everything you need to take your storage game to the next level. Vertical carousels, vertical lift modules, and even automated storage and retrieval systems!

I know what you're thinking, "I don't need all that fancy stuff, I'm just trying to organize my warehouse". But let me tell you something, folks, these vertical solutions are the future! With Vidir, you'll be able to maximize your storage space, increase your productivity, and make your life a whole lot easier.

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Have you heard of Boxed?

An online wholesaler with no membership fees to rival the likes of Sam's Club and BJ's Wholesale leveraging technology and automated warehouses. This kinda sorta startup went public and then bust, just a couple of weeks ago filing for Chapter 11 bankruptcy.

I've learned a lot sitting in meetings with startup advisors, founders, executives, etc and one of the nuggets of wisdom is that pipe dreams cost money.

These guys spent way too many millions on warehouse automation (hardware and software) before they had a solid business plan. In this case they invested millions into ASRS and AGVs way too early. Is there a lesson to learn here? Yep, don't spend all your money on shiny toys when your business model sucks.

Nvidia Secretly Owns The AI World

Hey, have you heard about Nvidia? They're the cool kids in town who have been building some seriously powerful graphics processing units (GPUs). And you know what? These bad boys have not only taken the gaming industry by storm but have also been a game-changer for industries like healthcare, finance, and scientific research.

So, why are these GPUs so special? Well, they're perfect for AI applications because they can perform many calculations in parallel, which means they can analyze vast amounts of data at lightning-fast speeds. This is essential for training machine learning algorithms, which need to analyze huge datasets to identify patterns and make predictions.

And the best part? Nvidia has made it easier than ever for businesses and researchers to build their own AI applications using these GPUs. They've developed software tools and libraries that make it simple for developers to harness the power of GPUs to accelerate a range of applications, including image and speech recognition, natural language processing, and autonomous vehicles.

One of their most important contributions has been the development of the CUDA parallel computing platform, which allows developers to use GPUs to accelerate a wide range of applications. They've also created the TensorRT software library, which optimizes deep learning models to run on GPUs with maximum efficiency, reducing the time and cost of training these models.

Nvidia has been working hard to promote the adoption of AI by partnering with other companies and organizations. They've worked with car manufacturers to develop the Drive platform, which provides the computing power needed to power autonomous vehicles. They've also partnered with major cloud providers like Amazon Web Services and Microsoft Azure to offer GPU-based virtual machines for AI workloads.

Overall, Nvidia has been instrumental in building the foundation for the field of AI. Their GPUs and software tools have made it possible for businesses and researchers to explore the potential of machine learning and deep learning, and to create applications that can automate many tasks that were previously performed by humans.

And the best part? Nvidia is just getting started. They're constantly investing in research and development, partnering with other companies, and supporting their customers to continue driving innovation in the AI landscape. So, WATCH OUT, world, because Nvidia is here to stay!

Tech of the Day: GPU

A Graphics Processing Unit (GPU) is a specialized type of processor that is designed to handle complex mathematical calculations and graphics-related tasks. These processors are used in a wide range of applications, including gaming, scientific research, and artificial intelligence (AI). In recent years, the use of GPUs in automation and robotics has become increasingly prevalent due to their ability to accelerate complex computations, making them essential for many applications in these fields.

So, why are GPUs used in automation and robotics? There are several reasons for this. First, robots require a lot of computational power to process the vast amounts of data generated by their sensors and other inputs. GPUs are ideal for this because they can perform many calculations in parallel, allowing robots to process data more quickly and efficiently. This means that robots can perform tasks more quickly and with greater accuracy, making them more reliable and effective.

Second, GPUs are essential for machine learning and other AI applications. These technologies rely on large amounts of data to learn and improve over time. GPUs can process this data quickly and efficiently, making it possible for robots to learn from their environment and adapt to changing circumstances. This is essential for many applications in automation and robotics, such as autonomous vehicles, manufacturing, and logistics.

Finally, GPUs are highly customizable, making it possible to tailor their performance to specific applications. This means that they can be optimized for different types of tasks, allowing robots to perform specialized tasks more effectively.

So, what are the most important things to consider when applying a GPU in automation and robotics? Here are three key factors to keep in mind:

Performance: The performance of a GPU is a critical factor to consider when applying it to automation and robotics. The GPU must be able to process data quickly and efficiently to keep up with the demands of the application. This means that the GPU should have a high clock speed, a large number of processing cores, and a large amount of memory.

Compatibility: The GPU must be compatible with the hardware and software used in the application. This means that it should be able to interface with the sensors, motors, and other components used in the robot. Additionally, the software used to control the GPU should be compatible with the programming languages and libraries used in the application.

Power Consumption: Power consumption is a critical factor to consider when applying a GPU in automation and robotics. The GPU must consume as little power as possible to minimize the impact on the robot's battery life or power supply. This means that the GPU should be designed with energy efficiency in mind, using technologies like dynamic voltage and frequency scaling to reduce power consumption when the GPU is not being fully utilized.

GPUs are essential for automation and robotics due to their ability to accelerate complex computations and process large amounts of data quickly and efficiently. When applying a GPU in these fields, it is important to consider factors like performance, compatibility, and power consumption to ensure that the GPU is optimized for the application. As the use of automation and robotics continues to grow, the importance of GPUs in these fields is only likely to increase, making it essential for developers and engineers to stay up-to-date on the latest developments in GPU technology.

Hey we've got a guy for that! We now have a list of 900+ vendors in our basic list!

https://www.automationjunkie.com/

Have feedback or want to contribute a video, article or tacos?  Maybe I'm interested maybe I'm not sure that I'm looking for it.  If you have something constructive you can catch me on Twitter.  @robotsrcoming or email us at [email protected]

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