Thinking Machines Lab Inkling launches as the largest US-built open-weight AI model — a 975-billion-parameter multimodal ...

Compact deep models match classical spectral decoders during grasp-and-lift on the WAY-EEG-GAL dataset. This repository contains the code, derived results, and figures supporting the manuscript: Pinto ...

With such a massive product lineup, coming across a prototype or pre-production figure from the early days is next to impossible. However, someone seems to have stumbled upon a lot of pre-production ...

Metrics Anytime loop telemetry, self-correction/overthinking rates, per-loop accuracy, entropy trajectory, latency/token, tokens/sec, VRAM, and cross-validated ...

Abstract: This paper proposes a decoder-only Transformer model for analyzing and clustering vehicle-to-vehicle interactions in highway merge zones. Leveraging deep learning, the model captures complex ...

Abstract: Photovoltaic (PV) temporal simulation is a core technology for PV planning analysis. This paper proposes the Weather Diffusion Transformer (Weather-DiT), which is based on a diffusion model ...