Unite.AI

Thinking Machines Lab Unveils Inkling, Its First Open-Weights Multimodal AI Model

Thinking Machines Lab has released Inkling, its first general-purpose artificial intelligence model, giving developers access ...
InfoWorld

Thinking Machines Lab offers enterprises a US alternative in open-weight AI

Inkling, a 975-billion-parameter model, can be customized through Tinker and supports a 1-million-token context window, but ...

Thinking Machines open sources first multimodal language model, Inkling, focused on low cost and 'resistance to censorship'

An Apache 2.0 designation makes Inkling a true open-source foundation. This gives developers the legal freedom to download, ...
GitHub

RF-DETR: Real-Time SOTA Object Detection, Instance Segmentation, and Keypoint Detection

RF-DETR is a real-time transformer architecture for object detection, instance segmentation, and keypoint detection (preview) developed by Roboflow. Built on a DINOv2 vision transformer backbone, ...
IEEE

Integrated Hardware Annealing Based on Langevin Dynamics for Ising Machines

Abstract: Ising machines are non-von Neumann machines designed to solve combinatorial optimization problems (COP) by searching for the ground state, or the lowest energy configuration, within the ...
IEEE

Applying Coherent Ising Machines for Enhancing Communication Efficiency in Large-Scale UAV-Aided Networks

Abstract: Unmanned aerial vehicles (UAVs) are used widely in wireless communications to enhance the service experience of mobile users on the ground. This study investigates a dynamic resource ...
GitHub

(ICLR 2024 Oral) Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space

[2024-06-20]: Disable loading irrelvent packages when training individual models; update the instruction for DCR experiements; fix minor bugs in TabSyn's training script. [2024-05-14]: Add demo code ...