Settle, the leading cash flow management and working capital platform for inventory-based businesses, today announced the launch of its public API and Model Context Protocol (MCP) server. Businesses can now connect Settle directly to their own software,
Ottawa-based Solink announced on October 29, 2026, that it has raised more than $100 million in new funding led by Vertu Capital, with material participation from existing investor Growth Equity at Goldman Sachs
EMBRACE affects AI coding tools Cursor, GitHub Copilot, Codex, VS Code and Claude Desktop, enabling code execution, file theft and browser address-bar spoofing.
Pakistan, Oct. 29 -- Tech giant Google officially introduced two groundbreaking artificial intelligence (AI) models, expanding its rapidly growing technological portfolio. Surprisingly, the company announced these new models just two weeks after releasing previous major AI updates.
Novel view synthesis and 3D reconstruction have advanced rapidly with radiance fields and splatting, yet their memory and computational demands limit their use in resource-constrained settings. We introduce Hexels: novel planar hexagonal surface elements with a first-order spatial color field for efficient 3D scene and 2D image representation. Hexels exploit locally planar regions with smoothly varying appearance using fewer, larger primitives. Their hexagonal support provides an area- and boundary-efficient domain, while the local color field captures appearance variation within each primitive. Across 34 scenes, Hexels improve PSNR over memory-matched 2DGS by 4.53-7.38 dB across datasets while requiring lower training VRAM. We further ablate Hexels by showing that per primitive, Hexels outperform 2DGS by upto 4.74 dB while using lower training VRAM and having 2.31 times faster FPS. Even in unconstrained settings, Hexels offers complementary quality-memory trade-offs. For efficient 3D surface reconstruction, Hexels reduce error by 28.9% compared with memory-matched 2DGS across 15 DTU scans. On 6 Tanks and Temples surface scenes, Hexels achieves the highest mean F1 among compared…
In Nanbeige4.3, we take a foundational step toward pushing the boundaries of lightweight agents. Our strategy centers on building a high-capacity teacher agent first, which will subsequently anchor the distillation of advanced agentic capabilities into smaller models.
NVIDIA Nemotron 3.5 Super VL is a 120B-parameter mixture-of-experts model that pairs reasoning and tool use with multimodal understanding. This post explores its architecture and use cases, then shows how to deploy it on Amazon EKS, EKS Auto Mode, and Amazon SageMaker HyperPod…