Invisible, yet omnipresent: algorithms determine our lives. And often without us noticing, for example, with voice control, facial recognition or online shopping. Fed and trained with data, they help make life easier. Not only in everyday life, but also in industry. ZEISS utilizes artificial intelligence, a major achievement of digitalization and key technology, in numerous fields. It helps evaluate extremely large data sets – from analysis in microscopy to quality assurance in additive manufacturing.
Artificial intelligence in action
Where we encounter technology in everyday life
AI in smartphones
Helper in your pocket
We use it every day: the smartphone. The little helper in your pocket is packed with artificial intelligence. The keyboard recognizes typing behavior, the phone book recognizes the most important contacts, and the voice recognition recognizes our voice. This requires computing power. ZEISS enables the semiconductor industry to produce ever smaller, more powerful and energy-efficientmicrochips – and thus ensures that smartphones, including AI, become ever more intelligent.
AI in smart homes
Intelligent home
Smart housemates have moved into modern households. This does not have to be the thoroughly digitalized smart home. Artificial intelligence is already programmed into smart TVs, for example in the applications of streaming services. Anyone who has a voice bot at home is conversing with artificial intelligence on a daily basis. And most recently, ZEISS technology is also built into the Multifunctional Smart Glass.
AI in smart factories
The 4th Industrial Revolution
Modern factories rely on automation and artificial intelligence. Machines are no longer operated by humans alone. Automation is the keyword: ZEISS develops innovative solutions for quality assurance with which measurement data can be automatically recorded, evaluated and forwarded in real time. With the help of algorithms, the data is analyzed to distinguish between good and bad parts, for example. Welcome to the new industrial age.
AI in voice recognition
No sooner said than done
Man and machine not only act in unison, they also speak the same language. Thus, algorithms trained on speech can recognize it – and derive actions. A voice bot responds to specific commands. A text tool transcribes spoken words. A voice control executes issued commands. This is how speech recognition is changing the relationship between humans and machines. This is an advantage that ZEISS is already taking advantage of in the user experience of microscopes or in customer service.
AI in autonomous cars
Driving without a driver
When it comes to autonomous driving, people believe the car actually drives itself. In reality, an artificial intelligence controls the vehicle. Among other things, ZEISS sensors measure the distance to the vehicle in front. This generates a large amount of data that needs to be analyzed in real time. Finally, the vehicle must react when the car in front of it brakes hard. Algorithms scan this data to identify which driving behavior is appropriate.
Many people associate ZEISS with optics and photonics. What many people are unaware of is how much we have invested over the last few years in building software and AI expertise across the organization.
From fiction to reality
Why artificial intelligence is important at ZEISS
Artificial intelligence has the potential to change the world. ZEISS makes targeted use of this potential. However, this is more than just a buzzword, more than just a trend. In fact, it is more than just machine learning or algorithms. ZEISS delves deep into innovation. How it helps people gain insights, decode life, make the impossible possible – and the world a better place. What used to be fiction is now becoming reality thanks to artificial intelligence. And ZEISS makes it possible to shape this reality.
Precision and products
How ZEISS uses artificial intelligence
From microchips to eyeglass lenses, from the smallest sensor to lenses: solutions from ZEISS are designed for precision. And they provide high-quality data for customers. Artificial intelligence is a key technology in capitalizing on and learning from this data. In this way, algorithms help to provide advanced insights. Insights that can inform new development. This is how ZEISS transforms precision into digital solutions with the help of artificial intelligence. As part of its DNA, ZEISS continues to drive technology-based change.
What once started small now extends through numerous business areas: countless ZEISS employees conduct research every day on the topics of artificial intelligence and machine learning. Of course, research alone is not enough: the developments from the various business units have so far been used in various prototypes, use cases and many internal applications.
AI in smart factories
Quality control 4.0
Machine-based models support fault diagnosis in manufacturing. ZEISS Automated Defect Detection detects defects in high-tech parts reliably, quickly and automatically.
The ZEISS AM in-process automatically classifies defects using AI. In this way, preventive and corrective measures can be implemented for each defect class.
APEER by ZEISS, the new generation of ZEISS image analysis, makes it possible to easily and quickly train and reproduce AI-based image segmentation models and obtain results.
ZEISS AI Sample Finder, ZEISS arivis Pro, ZEISS AI Toolkit, ZEISS ART and ZEISS Labscope: Five AI-supported solutions that simplify microscopy – and take it into the future.
AI has come to fruition. ZEISS is taking advantage of this and driving the technology forward. The healthcare sector will be automated, cars will only drive autonomously, science will advance at a more breathtaking pace and industry will be revolutionized. We are in the midst of a transformation.
ZEISS Beyond Talk
When fiction becomes fact
Lila Tretikov on artificial intelligence
CTO at Microsoft
Third-party Content Blocked
The video player is blocked due to your tracking preferences. To change the settings and play the video, please click the button below and consent to use of "Functional" tracking technologies.