The system is built upon four foundational pillars: Autonomous Safety: Utilizing MQ-series gas sensors and flame detectors to provide real-time protection against fire and gas leaks through automated ...
Uber has more than 20 autonomous vehicle partners, and they all want one thing: data. So the company says it’s going to make that available through a new division called Uber AV Labs. Despite the name ...
TikTok users have been deleting the app at a higher rate since the company announced that its U.S. operations would be housed in a new joint venture. The daily average of U.S. users deleting the ...
More than half of all ads on Meta's Instagram ran in the service's short-form video product Reels in 2025, up from 35% in 2024, according to data from market intelligence firm Sensor Tower. The shift ...
Sensor Tower isn’t just an analytics platform; it’s a massive “panel” of real people who have granted permission for the company to observe their digital habits. “We essentially have a massive panel ...
Explore how self driving cars and autonomous vehicles use self driving car sensors, lidar radar cameras, and autonomous driving technology to perceive roads, make decisions, and enhance safety.
While track testing during a visit to the Porsche Cars North America headquarters in Atlanta, the instructor invited me to test my manual braking distance against the Cayman’s anti-lock brake system ...
WASHINGTON – The U.S. Army is advancing its personnel readiness capabilities with data-driven tools that provide leaders with real-time insight into the health and status of every military ...
Advanced data visualization and analytics have become central to enterprise IT strategies as organizations face rapid data growth from cloud services, software-as-a-service applications, edge devices, ...
A few days ago, we looked into how Apple could one day use brain wave sensors in AirPods to measure sleep quality and even detect seizures. Now, a new paper shows how the company is exploring deeper ...
Abstract: Accurate and reliable visualization of spatiotemporal sensor data such as environmental parameters and meteorological conditions is crucial for informed decision-making. Traditional spatial ...