Enter the next level

Tesla AI Day live stream on August 20 showcased recent improvements from their machine learning teams. Tesla has made it clear that the company intends to solve the problem of self-driving cars. Although the Tesla Bot caught a lot of attention (and undoubtedly is the most photogenic topic of the day), this post will address the other parts of the presentation. During Tesla AI Day the public gets a glimpse of the huge investments made by Tesla in human resources, software and hardware. To solve such a complex problem as Tesla's, they need to make significant investments and push the entire AI field. Not everyone has these recourses, but other companies can be inspired by Tesla's strategies and apply them to their challenges, but with more tangible solutions.

I’m born in Lund, did my studies in Lund and have been employed in Lund at Ericsson and Baxter. Somewhere in between there I was raised in Hörby, a village that’s almost in the center of Skåne.

I am born and raised in Linköping which have given me, besides many joyful moments, a solid network of contacts and good knowledge of the local businesses. Suddenly, I saw a job advertisement of a company I had not noticed before, Combine Control Systems, and a visit to their website got me interested. The role that they wanted to assign was mainly about developing the company in the region and this appealed a lot to me. I love challenges and the possibility to make a small office grow, especially in the competitive consulting industry, feels incredibly fun and exciting. I have made similar things before and I am confident and motivated to really establish Combine in Östergötland.

One big part of industry 4.0 is the introduction to big data. New sensors, actuators, and computational power will be introduced in new plants and existing plants. To minimize the environmental impact and the cost of the transformation, it would be great if the communication between the nodes could be done wireless. This article investigates how packaged loss and transmission delay could be handle in a wireless plant.

Some time ago, we presented a blog post where we discussed an efficient tool that we use internally for big-data projects: the Accelerator. In that post, we focused on the performance perspective, comparing it with Pandas. At that point, the features it was providing meant a big blast in the projects we developed, but it still required a bit of ingeneering effort for setup and configuration. Luckly, the developers of the project have spent a lot of time improving that caveat, providing a smooth installation path and therefore making it available to a much wider audience. In addition, latest version also includes some further improvements, like a new user interface that makes up for a better experience.