DeepTech Needs

There is a need for engineers to understand how practitioners work and have a background on various clinical aspects even if they are not clinicians, in order to provide relevant technological tools in MedTech.

In the fast-paced tech world, DeepTech demands not just technical expertise, but also the ability to market your innovations. Marketing skills helps you bridge the gap between your tech skills and the market's needs. This plays an important role when pitching to investors and also selling in market.

Digital Twin of robotic systems can be built leveraging also on Offline Programming Tools

Human-robot collaborative tasks require adding force-controlled application, hence tactile sensing and force sensing, along with the required programming tools

In Industry 5.0, robotics experts need skills in vision systems, particularly calibration, detection, and identification of objects (also via AI)

In Smart Manufacturing, robotics experts need skills in Computer-Aided Design, Computer-Aided Engineering and Additive / Subtractive Manufacturing

In the ever-evolving field of data science, diving into the world of Large Language Models (LLMs) presents a fascinating avenue for aspiring data scientists. These models, which power sophisticated AI systems, require a unique blend of skills and knowledge.

In Industry 5.0, robotics experts need skills in collaborative and bio-inspired robotics, AI integration, cybersecurity, and ethical considerations to architect responsible and revolutionary innovations.

Future experts, muss delve beyond using AI as a black box, gaining a deep understanding AI to custom-build and ethically fine-tune related technologies. It's about becoming architects of AI, not just users, ensuring its innovative and responsible application the real world.