Austin Tech Week Kicks Off Monday; Archer Maps Air Taxi Routes to COTA, UT Launches AI Sports Lab Five days of startup programming start Monday at STATION Austin, as Archer Aviation proposes electric air taxi routes to Circuit of the Americas, UT Athletics opens an AI lab, and XBiotech names a co-CEO. Austin Tech Week […]
At PyTorch Conference North America 2026 in San Jose, Google and Meta open-sourced TorchTPU, a native PyTorch backend for Tensor Processing Units, replacing the 2020 PyTorch/XLA bridge that required intrusive source modifications.
Nvidia (NasdaqGS:NVDA) has effectively lost its China AI accelerator market after U.S. export controls restricted advanced GPU shipments. Specialist financiers are structuring large facilities backed by Nvidia GPU inventory,
GitHub is enforcing Copilot global defaults through October 26. Review eligible unconfigured features, MCP settings, preserved choices and preview rules.
Controllable 3D part generation is pivotal for digital asset creation, yet existing methods lack the flexibility to accommodate diverse user workflows requiring varying levels of control. In this paper, we introduce FlexPart, a unified image-to-3D part generation framework that supports variable-granularity geometric conditions within a single model. By seamlessly integrating heterogeneous inputs, ranging from sparse points to dense bounding boxes and masks, via gated adaptive modulation, FlexPart unlocks a powerful cross-modal synergy. We also propose an asymmetric geometric guidance mechanism that leverages strong spatial priors to align representations across granularities, improving geometric consistency and facilitating inter-task synergy. Under mask conditioning on PartVerseXL, FlexPart reduces Part CD by 16.6% relative to TripoSG + SAM3D and by 10.5% relative to OmniPart, while maintaining competitive whole-mesh quality. The code can be found at https://github.com/Gucci233/FlexPart
Flint is Recursive’s mixture-of-experts language model for coding agents, with 39.8 billion total parameters and approximately 2.5 billion active per token. It is designed to investigate codebases, fix bugs, implement features, and write tests.
Long before artificial intelligence became the next big thing in the tech industry, Wang Jian was crafting the foundational infrastructure that would eventually power it. In 2008, he joined Alibaba Group Holding – owner of the South China Morning Post – as chief architect and…