At its annual Zoomtopia customer conference, Zoom Communications, Inc., a leading AI-first platform for human connection, introduced a new Unified Context Layer and several new products with AI-powered capabilities.
Of the 10 stocks that hedge funds held the most in September, Amazon (NASDAQ: AMZN) was the most popular, followed by Microsoft (NASDAQ: MSFT) and Applied Materials (NASDAQ: AMAT). Nvidia (NASDAQ: NVDA), Meta Platforms (NASDAQ: META), and Broadcom (NASDAQ: AVGO) were also in the top 10.
Chinese AI startup Moonshot AI has reduced the offensive cyber capabilities of its latest artificial intelligence model, Kimi K3.1 Pro, amid growing concerns that increasingly autonomous AI systems could make sophisticated cyberattacks easier and cheaper to execute. The Beijing-based company announc
GLM-5.3 vs Claude Opus 5.5, GPT-6, Gemini, Grok and DeepSeek on September 2026 prices and the Artificial Analysis v4.3.2 board. Plus why GLM-5.2 now costs the same as GLM-5.3.
Block has unveiled Dessa, a pioneering speech-to-speech AI model trained exclusively on human conversations. It processes audio directly to express human emotions and nuances in real-time, marking a shift from traditional text-based AI systems.
China's Moonshot AI Unveils Kimi K3.1 Pro, Sets November Release for Full Model Weights - Chinese artificial intelligence firm Moonshot AI has introduced its latest innovation, the Kimi K3.1 Pro. This advanced AI model ... Get Latest News on Business only on lokmattimes.com
Chinese artificial intelligence (AI) company Moonshot AI has unveiled Kimi K3.1 Pro, a 3-trillion-parameter open-weight AI model featuring a 1-million-token context window, alongside a high-speed variant,
Chinese artificial intelligence (AI) company Moonshot AI has unveiled Kimi K3.1 Pro, a 3-trillion-parameter open-weight AI model featuring a 1-million-token context window, alongside a high-speed variant, Kimi K3.1 Pro Highspeed, according to a company statement.
Chinese artificial intelligence (AI) company Moonshot AI has unveiled Kimi K3.1 Pro, a 3-trillion-parameter open-weight AI model featuring a 1-million-token context window, alongside a high-speed variant, Kimi K3.1 Pro Highspeed, according to a company statement.
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.
Third-party adapters for open-weight language models ship as opaque weight matrices; a recipient cannot check whether an adapter hides a backdoor without trusting the publisher or inspecting the weights, the publisher's core asset. For one important class (payloads placed where…
This report describes our 2nd place solution to the HANDS 2026 workshop challenge (Dexterous Grasp Motion track) in conjunction with ECCV 2026. In this challenge, we address grasp motion generation for the 12-DoF LinkerHand O6, aiming to produce physically plausible…
When language models reason in chain-of-thought or exchange free-text intermediates, they serialize structured information into natural language. How much tree-structured compositional content survives this bottleneck? We propose a round-trip protocol that answers this question…
Recent 3D foundation models enable generalizable geometric reasoning from RGB images but remain limited in persistent memory, scalability, and renderable scene modeling. We present a memory-centric 3D foundation model for scalable robotic localization, reconstruction, and…