
Preview on embedded world 2024
Inference can be as Compute Intensive as the Training
With CPUs, GPUs and FPGAs, AMD has all architectures that are used for AI. embedded world Keynote Speaker Dr. Salil Raje shares his view on AI.
Articles and background information on the topic

Preview on embedded world 2024
With CPUs, GPUs and FPGAs, AMD has all architectures that are used for AI. embedded world Keynote Speaker Dr. Salil Raje shares his view on AI.

Rockwell Automation has published the ninth edition of its "State of Smart Manufacturing" report. The most important results at a glance.

China has gained a head start in almost all aspects of Industry 4.0 - but especially in Industrial AI. This is one of the findings of the 'Industry 4.0 Barometer', which MHP compiled together with the Ludwig Maximilian University of Munich.

Controlling and optimizing production processes in real time - this is what iTAC will be demonstrating with its software solutions at the Hannover Messe in Hall 15/Stand F13.
What requirements does the use of AI place on automation and networking? Do the mechanisms of Time Sensitive Networks in combination with Profinet perhaps form the optimal architecture for AI applications?

EVO Informationssysteme presents a tool for analyzing machining processes. The software solution uses machine learning to extract machining knowledge from CNC programs.
"ChatGPT in the industry" - Part 1
ChatGPT was the hype topic last year. This technology is expected to enter the industry in 2024. A new series of articles explores the opportunities and challenges of ChatGPT for the industry.
76% of workers in emerging economies believe that AI plays a key role in improving their relationship with work. The HP Work Relationship Index provides further insight into people's relationship with their work.

System developers are increasingly focusing on the integration of artificial intelligence. At Logimat 2024, they will be showcasing their new developments to demonstrate how AI algorithms can be used to further automate many processes and increase their efficiency.

Siemens is releasing a new generative artificial intelligence (AI) functionality into its predictive maintenance solution - Senseye Predictive Maintenance. Using a conversational user interface, manufacturers can take proactive actions easily, saving both time and resources.