Topics we are concerned about
Today's motto "higher, faster, farther" entails an ever-increasing number of technologies and innovations. It's easy to lose track. Discover the topics that motivate us and immerse yourself in the "world of science and innovation". Step into the future together with us and make use of our profound expertise and range of services. Explore content related to research, development and new technologies. Let yourself be inspired, enthused and driven by new ideas: with our service offerings such as tool implementation, database development, neural networks, deep learning and much more, we actively support our customers.
When we talk about Artificial Intelligence (AI) at TWT, we refer to the complete spectrum of intelligent ("smart") systems. From knowledge-based systems to methods from machine learning to deep learning – we cover the whole range. At TWT, we use this broad basis to develop AI-supported software used both in our customers' end products and in optimising the development processes of these products. Examples include AI-supported recognition of the driver's behaviour state or optimisation of a simulation process through partial automation of data preparation by means of deep learning
The future of product development is digital, networked and interdisciplinary. While today's work is still often done using Excel and email, modern apps and collaborative platforms will be commonplace in the engineering world of tomorrow. Virtual design spaces and 3D visualisations of the product are replacing the traditional meeting with PowerPoint presentations. Where today a lot of time is spent optimising one's own limited scope of tasks, the engineering of the future controls a whole reign of user-friendly tools and intelligent algorithms enabling networking far beyond one's own area of competence. It is no longer necessary to search for errors or anomalies in data, codes and models. A recommender system ensures an efficient preselection and a continuous integration & testing pipeline provides daily quality control. Digital skills, a customer-centred mindset and an agile approach to work are increasingly taking the place of pure technical knowledge and are being taught to the developers of tomorrow in coaching sessions and change communication at an early stage. In the end, more time is left for what should be most important - the development of innovative ideas and high-quality products or services. We call it Future Engineering.
Cloudification is currently a hot topic, and not for nothing. In a networked world, distributed organization and the provision of data and software are essential in virtually all industries and offer numerous added values for end users. The challenge for our customers' development departments is to bring both existing and new software into the cloud, to use it there in the most integrated way possible and to make it available.
The automotive industry is currently undergoing a phase of great change. In addition to the increasing outfitting of vehicles with electrical components, more and more computer technology is finding its way into vehicles, facilitating a significant improvement in driver assistance systems and automated driving functions. These functions can significantly improve comfort, efficiency and safety. However, before highly automated driving functions can be released for operation, they must be verified and validated in extensive tests in order to prove their reliability, especially with regard to safety, according to socially accepted standards.
Data is the new oil – In the wake of digitalisation, there are almost limitless fields of application for data science and machine learning. Using a wide variety of algorithms, the analysis of huge amounts of data offers the potential to gain insights into behavioural patterns that open up a range of new opportunities for humans. Aspects such as modelling and forecasting maintenance and quality problems, continuous learning from data and the associated making of optimum decisions for autonomous driving or simulating real-life scenarios represent major challenges that need to be surmounted. At the same time, however, it also offers great potential, which we would like to exploit for you.
Are you familiar with the following situations? You have developed a really high-quality system and want to show the value added to the customer you are sitting in front of? Or you have designed a sustainable function for your product and have to go into a management decision making meeting with it? Perhaps you have also experienced that the diversity of variants in your development area has exploded, yet your test experts are supposed to evaluate as many configurations as possible in real terms? Or you have recently started to work in networked teams across America, Asia and Africa, but still need to exchange development updates as interactively as possible? A solution to many of these challenges is to switch from real to virtual experience, meaning that you can still experience, test and present your product "in the flesh", but it no longer needs to be available as real hardware. Instead, a digital twin that can be experienced live takes its place.
Worldwide, the number of electric vehicles on the road is increasing rapidly - some manufacturers will soon only have electric vehicles in their line-ups. At the same time, pioneers at Lilium, Volocopter and many other emerging companies are working on electrified options for urban and regional aviation.
And with good reason. Without a strong cross-sectoral reduction of emitted greenhouse gases, climate change will progress unchecked and threaten human, plant and animal habitats around the world. Electrification makes it possible to use the electricity generated from renewable sources instead of fossil fuels for mobility, thus massively reducing the greenhouse gases emitted. The society's new sensitivity to the issue of climate protection and the political promotion of electromobility through subsidies have recently led to a genuine boom in the market for electric vehicles.
Model Based System Engineering
The systems for implementing advanced product functionality are becoming increasingly complex. This applies in particular to the automotive development and its underlying traffic engineering, but it is also highly relevant in automation technology with approaches such as Industry 4.0, in the healthcare sector with its innovative digitalised health products, as well as in aerospace industry. Model Based Systems Engineering (MBSE) offers an elegant and visionary approach to ensure that your systems are designed in such a way that they can be verified and validated and that they sustainably fulfil the desired market-oriented functionality and the required quality characteristics. MBSE puts the initial phase of product development - specification and design - at the centre. The aim is to carry out specification and design on the basis of machine-readable and machine-interpretable models, thus implementing, validating and releasing systems consistently and end-to-end in terms of information technology and, in particular, making the results highly available and reusable throughout the entire product life cycle. MBSE provides the basis for every virtual product development strategy!