10 results on this page
Meitu Imaging & Vision Research Institute (MT Lab) proposes a new scene text editing approach for languages ranging from Chinese to low-resource languages. The research is presented as an ICML 2026 contribution and focuses on making text changes appear seamless within images.
Tactile robotics is expanding from sensor hardware into datasets, foundation models, and evaluation benchmarks. Research shows touch improves physical reasoning and robot success, but inconsistent sensor formats create major cross-device transfer challenges.
Slack is launching Slack Code, a dedicated channel experience for teams to collaborate with AI coding agents. Users can tag agents such as Anthropic’s Claude or Cognition’s Devin, compare code changes, and preview HTML output within project-specific channels.
Nokia is reportedly planning further layoffs, facility closures, and a major reduction of its mainland China operations, potentially retaining only limited after-sales services. The retreat is part of a global restructuring toward AI and cloud businesses, but it may reduce Nokia’s access to China’s large-scale 5G deployment data needed for AI-RAN and future 6G research.
VB Pulse data shows enterprises are adopting multiple AI orchestration platforms instead of relying on a single vendor. The survey also highlights persistent concerns about security, permissions, token usage, cost visibility, and the ability to stop runaway agent spending in real time.
AntLing has released six official Ling-3.0 base checkpoints spanning two model sizes and three training stages. The MIT-licensed, ungated repositories are intended for continued pretraining, fine-tuning, and research rather than direct chat use.
AWS outlines enterprise patterns for operating many agentic AI systems across diverse frameworks, models, and providers. The guidance focuses on preserving flexibility and enabling multi-agent systems to scale together without vendor lock-in.
Slack Code now lets developers bring AI coding agents into a shared Slack group chat, allowing teammates to participate in the interaction. The update shifts coding-agent use from a private developer workflow toward collaborative team review and discussion.
The Spectral Neuron is a proposed ML primitive based on the largest eigenvalue of an input-conditioned matrix. The preprint develops its mathematical properties, initialization and training methods, and evaluates scalability on synthetic and real-world datasets.
Claude is expanding into protein design, adding a scientific research capability to its existing AI portfolio. The update suggests potential use in computational biology and biotech workflows, though the article excerpt does not provide implementation or benchmark details.