Kimi K3.1 Pro is an open-weight, natively multimodal agentic model, and our most capable 3T-class model to date. Post-trained from Kimi K3 with large-scale joint reinforcement learning across hundreds of downstream domains, it is the first model in the K3.1 series. With a…
Two side projects explored a new way to get work done with files already in Dropbox. Here’s how engineers brought them together and turned those experiments into a new customer experience.
Democratic lawmakers are signalling a tougher approach to AI development and data center expansion, raising questions about the future of the technology industry's growth in the US.
Emerging from stealth with backing from Pitango and F2 Venture Capital, Brava uses AI to simulate how cyberattacks would appear in security logs, helping companies identify threats their existing defe
Gartner, Inc. predicts that by the end of 2026, up to 40% of enterprise applications will include task-specific AI agents, up from less than 5% in 2025. For leaders, the challenge of adoption is a pragmatic one: which responsibilities are defined enough to delegate.
Salesforce predicts that AI chatbots will originate 20 percent of all holiday e-commerce traffic in 2026. One in three ecommerce sites will have a personal, site-specific shopper
AI Agents now resolve phone calls on the same platform as chat, email, SMS and social. When a caller asks for a person, or a business rule requires one, a live agent joins the call already holding the transcript and the context.
Banks are deploying thousands of AI agents, but an analysis by The Banker has found vast differences in how institutions describe and count them, making it difficult to compare their progress or assess the risks involved.
By Dimitri Rhodes Nov 5 (Reuters) - The artificial intelligence boom is helping drive demand for European chemical and industrial gas companies, as semiconductor manufacturers expand production capacity to meet surging demand for AI chips.
Scene text spotting remains challenging for arbitrarily shaped text instances such as curved signs and dense multi-oriented characters in natural images, where tightly coupled architectures propagate localization errors directly into recognition failures. We present a two-stage…
Language-model agents increasingly answer questions over customer-relationship management (CRM) records, such as whether to qualify a sales lead. We identify a failure mode not addressed by a stronger model: when the context contains an assertion by a party with an incentive…
Vision-language models (VLMs) achieve strong visual reasoning performance, yet subtle changes from routine image capture and processing can alter their reasoning trajectories even when images appear nearly identical. In long-horizon generation, the resulting activation shifts…
Reproducing a machine learning paper involves most research steps, from installing software and debugging to running experiments, work that AI agents increasingly do. We introduce RECLAIM, a benchmark of 100 NeurIPS 2025 papers that can be rebuilt yearly from new conferences.…