Kakao released Kanana-2-v-decide, a multimodal model that reads text and images and returns decisions as probabilities, options or scores so AI agents…
Lam Research authorized a record $25 billion share repurchase Thursday, the largest in its 44-year history, after Q1 FY2027 revenue surged 54% to $8.22 billion and operating margin crossed 40% for the first time.
BOX (NYSE:BOX) unveiled new artificial intelligence and security tools at its BoxWorks 2026 investor product briefing, outlining a strategy to help companies connect AI agents with their documents and automate content-heavy workflows.
Democrats' sweeping midterm election victory unleashed a rout of tech stocks on Thursday, with investors worried the party will use its gains in state capitols and the US Congress to impose new regulations that will slow the AI infrastructure buildout that has fueled this year's market gains.
Aina AI Ring is up for preorder at $399, with shipping set for January 2027. See what it does, what we know so far, and whether reserving now makes sense.
Airbnb CEO Brian Chesky said the company plans to develop specialized AI agents for integrations with numerous partners for "every vertical in travel."
AI-related cyberattacks are increasing, with hackers stealing AI access tokens and using AI tools to speed up intrusions. Multiple AI developer platforms have been affected, leading to exposed customer secrets and node credentials.
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…
Token Pass credit now applies automatically to included model usage through AI Gateway , whether a request authenticates with an API key, OIDC token, or fx login. No dedicated Token Pass API key is required, though you can still create one from the dashboard or the CLI for keys…
Visual data is increasingly consumed by machine-vision systems rather than by human observers. Image Coding for Machines (ICM) compresses images assuming the main observer is a computer vision application and that the human observer needs to inspect or validate the decisions.…
Pitch estimation on an edge device is constrained in three ways at once. The model must be small, it must stay accurate when the input is noisy, and one frame must be produced inside the frame period. In this report the Frequency Convolution Network (FrCN) of our earlier work…
Localizing and describing fine-grained differences between near-identical images is a critical yet underexplored capability for multimodal large language models (MLLMs). Existing benchmarks largely assess semantic comparison or single-image grounding in isolation, without…
Stochastic reconfiguration (SR) is the standard optimizer for neural quantum states (NQS), but modern NQS often have far more parameters than Monte Carlo samples. We show that in this regime the diagonal shift is more than a numerical stabilizer. It acts as a statistical filter…