Most technology investors understand the milestones, metrics, and workflow of software startups. The world of deep tech startups, by contrast, tends to be less familiar, as these startups possess long development cycles, high capital needs, and can face regulatory hurdles. However, investing in deep tech startups has many advantages ranging from equal or greater returns on investment; delivering significant impacts to health, environment, and society; as well as supporting national security interests and competitiveness of US innovation on the international stage.
Join Rick Timmins, ACA board member and expert poker player, for a Texas Hold’Em training session and multi-table tournament to hone your skills – and have great fun with Summit colleagues. Ticket proceeds benefit the Angel Investor Foundation – the 501c3 charitable arm of the ACA.
Join Marcia Dawood, ACA board past chair and Show Her The Money producer, for an informative movie night followed by a panel discussion. The film addresses how women are getting less than 2% of venture capital funding and demystifies what venture capital is.
· Building Exit Ramps to Private Equity: Learn the selection criteria and due diligence process used by Private Equity firms to help guide your portfolio companies to successful exit.
· Current Trends in Deep Tech Investing
· Galvanizing Investors Back to Basics to Grow Fundable Companies: This session will offer a ‘back to basics’ approach to supporting entrepreneurs at the optimal points to generate greater returns.
Semiconductor technology is certainly one of the most prominent and influential inventions of the 20th century, with a footprint touching nearly everyone on earth. This webinar is intended to provide an overview of the state of the art of the semiconductor technology and discuss emerging fields and key players that will shape the industry over the next decade.
The exponential growth of Artificial Intelligence (AI) has been enabled by advances in high-performance computing (HPC) chips over the last decade. Currently, we are entering an era of highly specialized chips that are being designed to fuel a demand for massive computing resources (associated to AI/ML workloads) across various industries.