We are very excited to announce that Zaggy AI has been accepted to the Microsoft for Startups Founders Hub! We look forward to working with the team at Founders Hub to explore the many services and solutions available in the Microsoft Azure ecosystem, as well as back office and productivity tools.
Similar Posts
Introducing Zaggy AI’s LapLabeler
We’re excited to introduce LapLabeler, a groundbreaking new tool specifically designed for labeling deep learning datasets in motor sports.
Industrial Sensors: The Eyes and Ears of Modern Industry
In an era where automation, precision, and real-time monitoring have become paramount, industrial sensors stand as unsung heroes. These small, yet potent devices, have profoundly revolutionized industries, driving operational efficiencies, reducing manual labor, and enhancing product quality. So, what exactly are industrial sensors, and how do they fit into the grand scheme of modern manufacturing?
PashehNet v0.1.1 Released
Nothing too crazy to report in this patch-level release: Latest package has been published on PyPi and latest docs are up. Let us know if you have any issues or feature requests on our GitHub project page!
Breaking the Mold: Why AI in Motorsports Requires a New Mindset
One of the biggest challenges in bringing AI to motorsports hasn’t been the technology itself—it’s been challenging the deeply ingrained mentality of “how it’s always been done.” Many foundational data analysis texts in our industry are more than a decade old, and most analysis software still defaults to the same channels and visualizations that engineers…
Opinion: On Abstract Headers and Generative AI
I’m sure by now you’ve noticed the oddly abstract post headers we’ve been using in lieu of clip art, stock art, or custom artwork. In the spirit of being an AI-focused venture ourselves, we decided it would be interesting to dabble in generative AI.
Introducing RAICE: The Racing AI for Crew Enablement
Over 300 sensors and 1.5TB of data per car over the weekend, and they had to wait ’til post-race to analyze the data because of time and manpower constraints at the track. The concept for RAICE was born.
