Applications

Liquid AI simply launched LFM2.5-VL-450M, an up to date model of its earlier LFM2-VL-450M vision-language mannequin. The new launch introduces bounding field prediction, improved instruction following, expanded multilingual understanding, and operate calling help — all inside a 450M-parameter footprint designed to run straight on edge {hardware} starting from embedded AI modules like NVIDIA Jetson Orin,…

In this tutorial, we construct and run an entire Pose2Sim pipeline on Colab to perceive how markerless 3D kinematics works in apply. We start with surroundings setup, configure the mission for Colab’s headless runtime, and then stroll via calibration, 2D pose estimation, synchronization, particular person affiliation, triangulation, filtering, marker augmentation, and OpenSim-based kinematics. As we…

Google has introduced the discharge of Veo 3.1 Lite, a brand new mannequin tier inside its generative video portfolio designed to handle the first bottleneck for production-scale deployments: pricing. While the generative video area has seen fast progress in visible constancy, the price per second of generated content material has remained excessive, typically prohibitive for…

Deploying a new machine learning model to production is one of the most critical stages of the ML lifecycle. Even if a model performs well on validation and test datasets, directly replacing the existing production model can be risky. Offline evaluation rarely captures the full complexity of real-world environments—data distributions may shift, user behavior can…

Mistral AI has launched Mistral Small 4, a brand new mannequin within the Mistral Small household designed to consolidate a number of beforehand separate capabilities right into a single deployment goal. Mistral crew describes Small 4 as its first mannequin to mix the roles related to Mistral Small for instruction following, Magistral for reasoning, Pixtral…

Alibaba Tongyi Lab research team released ‘Zvec’, an open source, in-process vector database that targets edge and on-device retrieval workloads. It is positioned as ‘the SQLite of vector databases’ because it runs as a library inside your application and does not require any external service or daemon. It is designed for retrieval augmented generation (RAG),…