After 4 days with thousands of visitors, crowded halls, and impressive presentations of products, solutions, and information, the Munich Electronica came to an end. It was the biggest ever – 80,000 visitors (increase of 10 percent compared to 2016 edition) arrived at the stands of more than 3,100 exhibitors (plus 8 percent) out of 50+ countries, showcased on a fairground area increased more than 20 percent.
Whether it comes to PCBs, semiconductors, sensors, connectors or displays: electronica is the best place to find out first which components, systems and applications are made possible by the latest developments. You can see the entire world of electronics here.
I found the artificial intelligence is the most interesting to me.
Regardless whether it’s the Industry 4.0, Internet of Things (IoT) or driverless vehicles: Artificial intelligence (AI) can be found in almost every future technology. The aim is to imitate the functions of the human brain in the form of artificial neural networks. Standard CPUs are not suitable for this. And neural networks demand too little and too much of these all-purpose processors at the same time:
With the help of those specialized chips for deep learning – they provide only the necessary functions but are very efficient – deep learning will give systems capabilities that humans could either not program or not at a reasonable expense. To do this, they are trained with huge volumes of data, such as images, text, and language. They get feedback about their recognition abilities and, as a result, over time, they are better able to filter out what is important to solve a task.
Intel developed the AI processor Nervana Neural Network Processor (NNP). By 2020, AI calculations should be up to 100 times faster than today. With its Loihi chip, Intel is counting on neuromorphic computing. With its network of artificial neurons and synapses it will teach itself without training. The chip combines training and inference. With TrueNorth, IBM is distancing itself completely from conventional computer architecture: the chip imitates a neural network in a hardware format.
Learned so much from Munich Electronica. See you next time in November 10-13, 2020.