Humans are able to learn to recognize new objects even from a few examples. In contrast, training deep-learning-based object detectors requires huge amounts of annotated data. To avoid the need to ...

"This mandate just adds to the burden of running a small business in Vermont," said John Reynolds, NFIB Vermont State Director. "The change is unnecessary, as affected employees already had the option ...

"...an interstellar traveler will not correspond with its senders because there is no benefit to that": Prof Loeb ...

A team of high schoolers interviewed fire survivors in Southern California. Survivors remember what they lost and what they ...

Veeam has acquired Object First, a backup target appliance provider specializing in pre-integrated, immutable backup storage for Veeam environments. This acquisition will expand Veeam’s ecosystem with ...

Four astronauts are about to become the first humans to venture near the moon in more than half a century since NASA's iconic ...

The observations were carried out by the Breakthrough Listen program as the object neared its closest approach to Earth on ...

Researchers noted that two other teams conducted independent searches of 3I/ATLAS at different frequencies. Neither group detected credible artificial radio signals. Scientists say the findings ...

Abstract: There are two mainstream approaches for object detection: top-down and bottom-up. The state-of-the-art approaches are mainly top-down methods. In this paper, we demonstrate that bottom-up ...