Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

Abstract: Equatorial ionospheric irregularities, particularly those associated with equatorial plasma bubbles (EPB), can significantly disrupt satellite navigation and communication systems. As the ...

In this video, we will study Supervised Learning with Examples. We will also look at types of Supervised Learning and its ...

Tesla is edging closer to what it calls unsupervised self-driving, but the reality on the road is far narrower than the ...

A Tesla robotaxi with safety driver (Tesla calls them a monitor) in the Austin deployment. Posters and reported a few sightings of Tesla robotaxis in Austin, TX operating with nobody in them, neither ...

Speaking at the xAI Hackathon via video link on Tuesday, Musk shared details regarding the FSD developments. FSD Unsupervised is “pretty much solved at this point,” Musk said, adding that there would ...

The proposed industrial anomaly detection model is computationally efficient, memory-friendly, and also suitable for low-light conditions, common in manufacturing environments, making it well-suited ...

Tesla CEO Elon Musk is “confident” that Unsupervised FSD will be available “by the end of this year.” This isn’t the first time the outspoken head honcho said Tesla EV owners could enjoy autonomous ...

Nathan Eddy works as an independent filmmaker and journalist based in Berlin, specializing in architecture, business technology and healthcare IT. He is a graduate of Northwestern University’s Medill ...

Abstract: Traditional object classification in 3D point cloud scenes relies heavily on large-scale labeled training data, which is both time-consuming and labor-intensive to obtain. Unsupervised ...

Tesla has started hyping its upcoming ‘unsupervised full self-driving’ launch in Austin in June. Let’s cut through the hype. Here’s what Tesla will actually launch. CEO Elon Musk has been talking ...