New benchmark shows top LLMs achieve only 29% pass rate on OpenTelemetry instrumentation, exposing the gap between ...
Some cybersecurity researchers say it’s too early to worry about AI-orchestrated cyberattacks. Others say it could already be happening.
Abstract: Modern diffusion-based image generative models have made significant progress and become promising to enrich training data for the object detection task. However, the generation quality and ...
Heil, with corporate headquarters in Chattanooga, Tennessee, and a manufacturing facility in Payne, Alabama, has introduced its Common Body platform, an engineering advancement that brings together ...
A team using the NASA/ESA Hubble Space Telescope has uncovered a new type of astronomical object—a starless, gas-rich, dark-matter cloud that is considered a "relic" or remnant of early galaxy ...
The original version of this story appeared in Quanta Magazine. Here’s a test for infants: Show them a glass of water on a desk. Hide it behind a wooden board. Now move the board toward the glass. If ...
A YouTube tool that uses creators' biometrics to help them remove AI-generated videos that exploit their likeness also allows Google to train its AI models on that sensitive data, experts told CNBC.
Astronomers have detected a massive object moving in a synchronized path behind Earth. Early measurements suggest it has been trailing the planet longer than previously assumed. Its trajectory does ...
Meta Platforms Inc. today is expanding its suite of open-source Segment Anything computer vision models with the release of SAM 3 and SAM 3D, introducing enhanced object recognition and ...
We’re introducing SAM 3 and SAM 3D, the newest additions to our Segment Anything Collection, which advance AI understanding of the visual world. SAM 3 enables detection and tracking of objects in ...
This project showcases a sophisticated pipeline for object detection and segmentation using a Vision-Language Model (VLM) and the Segment Anything Model 2 (SAM2). The core idea is to leverage the ...
Abstract: Small object detection is a significant and challenging research area in aerospace. Small objects often face issues like background interference and inter-class similarity due to their small ...
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