Classical computers which represent information as bits have evolved over many years in an unprecedented way and became ubiquitous in our life. Today these classical technologies based on miniaturization are reaching their limits and new computing paradigms are in quest to reduce power consumption and increase the performance of computation. Two new computing paradigms are emerging as driving force in computation, first neuromorphic computing or technologies mimicking the brain to accelerate computing workloads for artificial intelligence (AI) and quantum computing to solve relevant problems that are intractable to classical computer. Quantum computing systems are built from the bottom up and are reaching the limits of what can be classically simulated. The entire quantum computing stack is developed starting from the qubit and quantum processor technology, control electronics to software, algorithms, to applications for quantum computing. Significant advances have been recently achieved that enabled to scale superconducting qubits to a 127-qubit processor and increase quality and speed to improve the performance of quantum computation. In this presentation an overview of our activities in the field of new computing paradigms of AI hardware technologies and quantum computing is given.