УНН News of the World ✎ Meta is planning a large-scale Muse network, but is facing privacy concerns and high costs. The company's free cash flow has turned negative.
Orange Business and Nvidia said they are collaborating on enterprise voice AI deployments by testing a prototype with customers that delivers a more responsive experience with lower latency. The two partners are trialling a distributed approach that spreads AI inference across central-cloud and regional PoP (Point of Presence) resources. This enables a more natural conversational flow by improving performance and optimising GPU capacity. It also helps keep voice data local where required.
Schneider Electric, Nvidia and HPE have formed a strategic collaboration to introduce AI agents that can monitor and help optimize industrial operations from inside factories and process plants. Th…
DeepSeek-V4.1-Flash-1017 is a minor update to DeepSeek-V4.1-Flash, delivering substantial improvements across reasoning, coding, agentic tasks, and visual benchmarks. Alongside these gains, the model reduces task execution time and output length, enabling users to complete…
Anthropic has launched Claude Duet, a proactive AI agent that handles tasks on its own, even when the user is offline. The app is built on Claude Opus 5.5 and connects to services like Gmail, Slack, and Stripe through more than 6,000 connectors. It asks for approval before…
FarmerChat is Digital Green's farm advisory service for smallholder farmers. When something looks wrong with a crop, the farmer takes a photograph and sends it, and that photograph is the whole question: no symptom described, no crop named, often no text at all. The service has…
Fine-tuning Vision-Language-Action (VLA) models commonly relies on human teleoperation demonstrations, while reinforcement learning (RL) with sparse binary rewards faces an exploration challenge when successful trajectories are rarely sampled. We propose SynthDemo-RL, a…
Hamiltonian normalizing flows are attractive generative models because their phase-space maps are invertible and volume preserving, but most neural constructions are formulated in Euclidean space. We introduce Riemannian Neural Hamiltonian Flows, which combine the fixed kinetic…
Financial time-series forecasting must capture price dynamics across heterogeneous assets while incorporating news available at prediction time. We introduce DualCast, a dual-path framework that extends a frozen language model with a discrete financial vocabulary. Each…