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The new building blocks of biology now stretch far beyond their origin. From AI to scaling and automation, these platforms are expanding the limits of what biology can do, from the lab bench to the world.

Horizontal complementary technologies in the range from "cognitive computing" to "nanotech" that support the development of the vertical biotechnology sectors.

Food sciences happen at the intersection of biology, chemistry and other technologies that analyze and study the core elements of food. They focus on novel approaches to increase nutritional content of the food we eat, develop new sources of food and pioneer novel solutions to make our food sources healthier and safer.

Life sciences is the study of living organisms and life processes. As we enter a new era of medicine, novel insights and techniques across biochemistry, biophysics, and structural biology are expanding the horizon of what we can prevent, diagnose, and treat. Engineered cells, gene therapy, smart, personalized and targeted medicine, are all among the next generation of analytics and therapeutics that will define how we will live.

Agricultural sciences combine novel technologies across crop science, data analytics, robotics, automation, and beyond. Faced with an ever-growing demand for agricultural output on our already strained planet, these technologies help engineer novel, more innovative, healthier, and greener means of production while they also increase crop management efficiency and offer techniques for large-scale deployment.

Artificial Intelligence (AI) constitutes a field of technologies, such as machine learning and deep learning, that use computational analysis of large datasets of all sorts. The scale of complexity enhancement, it can develop across a wide range of scientific fields, makes AI a truly revolutionizing cross-sectional technology. By performing tasks that usually require human intelligence, such as visual, speech or pattern recognition, process optimization or other forms of decision making, and using those for simulation or predictive capacity, AI holds the power to fundamentally improve the process of scientific innovation.

Cognitive algorithms are a form of AI technology that can perform any form of learning and reasoning, be it in supervised or unsupervised manner. Its transformative power lies in its ability to replicate, simulate, complement, and enhance human behavior across a wide range of application fields.

Robotic Process Automation (RPA) is a software technology running on physical or virtual machines that mimics and automates specific processes and actions by managing software derived robots that ultimately perform the tasks. These (metaphorical) software robots are so transformative since they can not only emulate how human beings interact with software in general, but also perform high-volume and repetitive tasks with applications in a wide array of industries.

Sensor technology is a key cross-section technology as it is by definition the connecting “door” between the physical and the virtual world. The deployment of sensors is key to acquiring and collecting data by transforming information of physical, chemical or biological nature and forms the basis on which computational systems and other data processing technologies can be applied.

Bioengineering is a crucial cross-section technology as it applies the tools of engineering, mathematics and physical sciences with the principles of biology, medicine and life sciences. By applying design, analysis and processes to biological systems and biomedical technologies novel fields of application emerge.

Nanotechnology is defined as the technology field dealing with structures, devices and systems that have dimensions in the order of 100 nanometres, or 100 millionth of a millimetre, or less. By designing, producing or manipulating atoms and molecules at the nanoscale, novel technological solutions and revolutionizing applications become possible across a multitude of scientific fields.