Nvidia shares rose 0.8% on the opening bell, while AMD climbed 1.5%. Micron stock rose more than 4%. SK Hynix reported record quarterly profit that exceeded expectations and outlined more than $25 billion in dividends and share repurchases, supporting optimism across the AI chip industry.
As Visa and Mastercard build ID checks for AI shopping agents, Extend CEO Andrew Jamison argues a human-approved virtual card that expires in minutes is the guardrail businesses can use today.
In the last month, construction tech platform Kahua received a $250 million investment from Bain Capital at a $1 billion valuation, while multifamily AI startup EliseAI raised $350 million in a funding round, boosting its valuation to $4 billion.
Google NASDAQ:GOOGNASDAQ:GOOGL edged up about 1.5% during early afternoon trading on Wednesday after introducing Gemini 4 Carbon, its latest frontier AI model."Following Argon's release just two weeks ago, Carbon shows the pace at which we’re pushing the frontier, it ranks #1 on the recently update…
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.
Build a financial research assistant with Cohere Embed, Rerank, and Parse on AWS. Improve document search, retrieval accuracy, and citation-backed answers.
Structural causal models for time series recover contemporaneous and lagged effects, but most methods require complete observation windows and become misspecified when samples are missing. We introduce ITSY, the first continuous-optimization method for causal discovery from…
Large language model agents are typically deployed with predefined configurations, although the required model capability, context, tools, permissions, memory, and computational resources can vary substantially across tasks. This study develops and evaluates AgentBetta, an…
Novel view synthesis is a key task for dynamic scene reconstruction, where high rendering speed is essential for applications such as virtual reality. Existing deformable Gaussian Splatting methods achieve high-fidelity dynamic scene modeling, but still face limitations in…
As part of HVAC systems, residential heating provides foundational infrastructure for human habitation in cold weather. However, research on how residents interact with HVAC systems, particularly heating systems, remains fragmented across architecture, engineering, informatics,…