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Rev: Ithaca Startup Works puts new entrepreneurs through their paces

Rev: Ithaca Startup Works puts new entrepreneurs through their paces

Over 10 weeks this summer, Rev’s Prototyping Hardware Accelerator guided product teams from back-of-the-napkin ideas to fully-fledged startups. In categories from climate technology to agricultural innovations, and with projects that range from canoe racing tools to improved tea dispensers, teams gained access to experts in their industry’s field, working together to figure out if their concept might be commercially desirable, technologically feasible and economically viable.

Leading the Charge in Cybersecurity, Trust, and Safety

Leading the Charge in Cybersecurity, Trust, and Safety

In an era where digital threats are ever-evolving, the need for advanced education and research in cybersecurity, trust, and safety is paramount. Cornell Tech’s new Security, Trust, and Safety (SETS) Initiative, a cutting-edge program aimed at revolutionizing these fields, aims to address these challenges head-on. The director of the SETS program, Google alum Alex

Jamey Edwards ’96 MBA ’03 is on a mission to fix healthcare

Jamey Edwards ’96 MBA ’03 is on a mission to fix healthcare

The newest episode of the Startup Cornell podcast features Jamey Edwards ’96 MBA ’03, president & chief strategy officer at Koko Home, a company providing radar driven, AI-enabled solutions for healthcare and an Entrepreneur in Residence of StartUp Health, which was founded in 2011 to invest in global health entrepreneurs.

Rising Star Ben Laufer: Improving Accountability and Trustworthiness in AI

Rising Star Ben Laufer: Improving Accountability and Trustworthiness in AI

With artificial intelligence increasingly integrated into our daily lives, one of the most pressing concerns about this emerging technology is ensuring that the new innovations being developed consider their impact on individuals from different backgrounds and communities. The work of researchers like Cornell Tech PhD student Ben Laufer is critical for understanding the social and ethical implications of algorithmic decision-making.