What do we mean by ‘inclusive’? How should user experience influence design? Could low tech be the smart move? Just some of the ‘must-asks’ for successful FemTech innovation. In this interactive webinar, we share technical, strategic and consumer perspectives for end-to-end FemTech innovation. Join us to understand how asking the forgotten questions - and pinpointing the ideal time to ask them – optimizes opportunities for success.

Periods are a normal and necessary function of the human body. But all too often, society sees menstruation as a taboo topic – something we just don’t talk about. And that’s a problem. The silence due to stigma can negatively impact quality of life and result in delayed care, needless suffering, and even long-term complications. Storytelling is one of the most powerful ways to break the silence by enabling menstruators to share their unique lived experiences, build empathy and understanding, and change the conversation about periods and menstrual health.

Sharing how beauty & nutrition go hand in hand, Karin Hermoni, Ph.D., Lycored's Chief Science Officer, will share the stage with expert panelists, including:

This webinar is geared towards emerging companies who are looking to raise financial capital or attain a strategic commercialization partner.  The importance of an initial pitch cannot be understated.  Learn how to generate sufficient interest to move to the next stage, and the essential information that should be included in your deck. 

Universities offer a creative environment for multidisciplinary research (cross species and cross technologies) and are a rich source of knowledge and innovative, often groundbreaking technologies.  

Are you unsure of what the new EU veterinary regulations mean for you?

Join us to find out!

During this Webinar, Klifovet will examine what the new regulations mean and how they will impact the development of new animal health products.

Participants will have the opportunity to ask questions in a Q&A session.

Traditional embedded development that emphasizes a hardware-lead implementation approach might not be suited for the next generation AI and HPC applications.  The need for specific algorithms, training and tuning, and managing large amounts of data are just some of the early, upfront software considerations in a heterogeneous environment.  Companies, research organizations and government institutions are beginning to consider a software-driven hardware design these next-generation solutions.

As AI & ML chips proliferate, the focus is moving to deployment and practical applications. This change brings a corresponding shift in the technical problems chip makers and their customers need to solve. Do the devices perform as expected under real-world conditions? What support do software development teams – both at the IC maker and systems integrator – require? Can devices adapt as software loads change and the devices themselves are subject to aging effects?