Co-Founder and CTO at Nexar, programming language junkie and 0xCAFED00D
As we sail through the vast technological oceans of 2023, decision-makers across the globe are contemplating how the formidable blend of generative AI and big data is instigating a revolution in the automotive sector. Today, we’re retracing the incredible progress made in the domains of big data, deep learning,
Maps are becoming outdated, as the traditional method of manual curation and editing is just not feasible - especially for ADAS and AVs. It's time for a change in the paradigm and for live maps to help the driving task. The maps of yesteryear are dead. The purpose
I recently had the pleasure of chatting with Michael Waitze on the Asia [https://asiainsurtechpodcast.com/] Insurtech Podcast [https://asiainsurtechpodcast.com/]about Nexar and its role in revolutionizing road safety through ground-breaking technology. The podcast episode unpacks Nexar’s goals as a leading AI vision company, and our efforts to
The First Internet The computer industry of the 1980s was based on a simple premise. It saw continuous hardware improvements that led to exponential growth in computation capabilities. This made it worthwhile to create high-value software. A decade later, in the 1990s, the Internet and HTTP became mainstream, computers connected
Toyota’s recent announcement to halt the deployment of 802.11p (DSRC or ITS-G5) vehicle-to-vehicle technology in new cars may come as a surprise to some.
The Nexar Mobility Network has the potential to become a key component of the world’s present and future, making transport and mobility both safer and more efficient. This network will become an essential part of our lives and will provide the same level of welfare we see in other
At Nexar, we invest a lot of time in learning about the world’s roads, driver behavior and what happens on the road on a daily basis. That’s because we are building a safe driving network and understanding our roads is an important step in creating a reality with no car collisions.
Edge devices and very large real-world driving datasets hold the promise of autonomous driving Over the past few years, we’ve seen significant advances in learning-based approaches to the development of automotive safety applications. These advances have been applied predominantly to the perception stage of autonomous driving systems. The decisioning
Also introducing our latest data challenge for autonomous developers [https://www.getnexar.com/challenge-2/]` It could be argued there is only one proven Big Data application — web search. Nothing so far has met the sheer size and complexity of indexing the web at the precision, recall, and freshness Google delivers.
I often get asked the questions “why are you building a dashcam network?”, “How do you intend to fulfill your vision of zero road fatalities?”, “What is so smart about dashcams anyway?” Enough with the questions, it’s time for answers. Eran Shir and myself founded Nexar in 2015 to