A new study led by researchers at the University of Oxford and the Allen Institute for AI (Ai2) has found that large language models (LLMs)—the AI systems behind chatbots like ChatGPT—generalize language patterns in a surprisingly human-like way: through analogy, rather than strict grammatical rules.
As AI systems master tasks once uniquely human, we find ourselves on an accelerated journey to discover what truly lies beyond automation.Read More
Our top pick sleeping pads from Nemo, Therm-a-Rest, Sea to Summit, and Gossamer Gear use high-tech materials to engineer the best sleep you can get outdoors.
Much like HTTP and REST standardized how web applications connect to services, MCP standardizes how AI models connect to tools.Read More
Insta360’s new X5 360 camera features excellent 8K video and a new replaceable lens design.
Tuochao Chen, a University of Washington doctoral student, recently toured a museum in Mexico. Chen doesn’t speak Spanish, so he ran a translation app on his phone and pointed the microphone at the tour guide. But even in a museum’s relative quiet, the surrounding noise was too much. The resulting text was useless.
Discover how Jasper’s CAB and inclusion in the NYSE LaunchPad program are driving innovation for enterprise marketers.
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We present Matrix3D, a unified model that performs several photogrammetry subtasks, including pose estimation, depth prediction, and novel view synthesis using just the same model. Matrix3D utilizes a multi-modal diffusion transformer (DiT) to integrate transformations across several modalities, such as images, camera parameters, and depth maps. The key to Matrix3D’s large-scale multi-modal training lies in …
Kinesh Satiya Introduction In a digital advertising platform, a robust feedback system is essential for the lifecycle and success of an ad campaign. This system comprises of diverse sub-systems designed to monitor, measure, and optimize ad campaigns. At Netflix, we embarked on a journey to build a robust event processing platform that not only meets …
Read more “Behind the Scenes: Building a Robust Ads Event Processing Pipeline”